Memory is one of the biggest challenges in deep neural networks (DNNs) today. Researchers are struggling with the limited memory bandwidth of the DRAM devices that have to be used by today's systems to store the huge amounts of weights and activations in DNNs.
Source: Ghraphcore
24393
Microsoft's cloud-based virtual machine for big data analytics is now available in a version running on Windows Server 2016.
Source: Eweek8430
It's undeniable-data science is one of the fastest growing fields in the world today, and shows no signs of slowing down. Because of that, it's becoming increasingly important to study and understand the professionals who make up this field, and the ways they navigate it.
Source: Springboard32676
Technology always takes a dominant position in economy and society. Millions of people therefore found their careers, and many others have even dived into a completely different field just for entering this industry.
Source: HOB22806
There are many questions which comes in our mind like How to build career in the recent technologies, how should we begin our career or are their any certifications that will add value to my skills and knowledge.
Source: HOB7422
Data science has created so much hype in the world of IT sectors that from big to small companies all are now hiring employees who have knowledge regarding this subject. Data science helps an employee to understand data and then synthesize it in a proper way so that they can communicate in a better way which is beneficial for the companies. Data Science is now know as the sexiest job of the 21st century.
Source: HOB13755
Python and R are the two most popular programming languages used extensively by Data analysts and Data Scientists. Both the languages are free and open-source and were developed in the 1900s. However, following are some of the reasons which gives Python edge over R that makes it even more popular among the community.
Source: HOB9744
Nowadays, there is a huge list of powerful data visualization tools to help you illustrate your ideas, visualize your data, make it talk, share your significant analytics with customers and the global community.
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I have compiled this list of 154 online programming language and Computer Science courses such free online courses that you can start this month.
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In Part-2 we have covered first 100 courses in number at an intermediate level. As i have classified these courses on the basis of difficulty level. You can find complete lists of the technology-related courses starting later in 2018 on Class Centrals Computer Science, Data Science, and Programming subject pages.I've sorted these courses into the following categories based on their difficulty level.
Source: HOB23961
In Part-3 we have covered 50 plus courses at an intermediate level. As i have classified these courses on the basis of difficulty level.Many of these courses are completely self-paced. The rest will start at various times later in September. You can find complete lists of the technology-related courses starting later in 2018 on Class Centrals Computer Science, Data Science, and Programming subject pages.
Source: HOB6306
In Part-3 we have covered 50 plus courses at an intermediate level. As I have classified these courses on the basis of their difficulty level.Many of these courses are completely self-paced.
Source: HOB17895
In Part-4 we have covered first 100 courses in number at an intermediate level. As i have classified these courses on the basis of difficulty level. You can find complete lists of the technology-related courses starting later in 2018 on Class Centrals Computer Science, Data Science, and Programming subject pages.I've sorted these courses into the following categories based on their difficulty level.
Source: HOB9381
In Part-4 we have covered first 100 courses in number at an intermediate level. As i have classified these courses on the basis of difficulty level. You can find complete lists of the technology-related courses starting later in 2018 on Class Centrals Computer Science, Data Science, and Programming subject pages.I've sorted these courses into the following categories based on their difficulty level.
Source: HOB7707
In Part-5 we have covered first 100 courses in number at an intermediate level. As i have classified these courses on the basis of difficulty level. Here we have mentioned the courses for advanced level.
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In Part-5 we have covered first 100 courses in number at an intermediate level. As i have classified these courses on the basis of difficulty level. Here we have mentioned the courses for advanced level.
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In the ever-changing ecosystem of data science tools, you often find yourself needing to learn a new language in order to keep up with.
Source: HOB7332
I'm Software Engineer and a big fan of JavaScript books and programming language. Being a long-time learner of JavaScript, I've had the pleasure of reading a great many of the popular JavaScript books on the market.
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This is the definitive guide for anyone wanting to choose the right programming language career path in 2018.
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Coding is a prized skill in today's business environment and software developers proficient in multiple programming languages are highly valued by organizations for their ability to help businesses go digital and carry out vital business functions.
Source: HOB459642
The language's popularity has grown not merely among professional developers-nearly 40% of whom use it, with a further 25% wishing to do so, according to Stack Overflow, a programming forum-but also with ordinary folk.
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If you are interested in pursuing a career in Machine Learning and don't know where to start, here's your go-to guide for the best programming languages and skills to learn, interview questions, salaries, and more.
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Developer salaries are on the rise - but which languages bring in the big paydays? Developers who haven't had a recent pay rise might be due for a chat with the boss about wages or at least should freshen up their resume.
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Python is very popular because of its set of robust libraries that make it such a dynamic and a fast programming language. Python is the fastest-growing programming language in the world, as it increasingly becomes used in a wide range of developer job roles and data science positions across industries.
Source: HOB15366
I believe everyone should learn Haskell and Functional Programming Language, even if you won't use it in your work. It's beautiful, and it changes the way you think.
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Over the past 6 months, I've been working on a programming language called Pinecone. I wouldn't call it mature yet, but it already has enough features working to be usable.
Source: HOB156972
According to the Tiobe Index for September 2018, Java, C, and Python are the most popular programming languages in the world.
Source: HOB139860
While Bitcoin and Cryptocurrency may have been the first widely known uses of Blockchain technology today, The blockchain is gaining popularity only because of its security feature. This is the safe and secure ledger which permits all users to record transactions on system so it will be safe, secure and incorruptible. For this they code in the following best programming languages.
Source: HOB23661
Data is not for only Analytics team now as Data Scientists are in demand and data covers all most many roles in an organization and employees need the literacy to handle it effectively. Now in most of the organization the data skills matters a lot because data is gold for all the industries and it is in very huge numbers as well.
Source: HOB6585
Many tech companies like to ask Dynamic Programming Language questions in their interviews. While we can debate whether they're effective in evaluating someone's ability to perform in an engineering role, Dynamic Programming Language continues to be an area that trips engineers up on their way to finding a job that they love.
Source: HOB11235
It's true. I've spent thousands of hours reading books, writing programming language code, and watching computer science lectures, all to prepare for the Google software engineer interview.
Source: HOB166929
Just like a programming language, hacking has become dangerously popular these days. Thanks to big blockbuster movies which raised an urge among the youth to become a hacker.
Source: HOB99777
I applied for a programming language frontend developer job with a large consulting company in Norway, and I caught their attention - or at least I thought so.
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Go is an open source programming language developed by the tech giant "Google". This language led to the creation of software in a very easy and efficient manner. Why?
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With the clock ticking for Python 2 programming language, the cloud storage company Dropbox has detailed why it chose to move to Python 3 programming language and how it made the switch.
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I don't mind that the industry uses 'Artificial Intelligence' and 'Machine Learning' to mean the same thing. But is it technically correct? Is it sloppy? And if we pick some nits, who's really using the term 'AI' incorrectly?
Source: HOB8814
Python is a high-level and object-oriented scripting programming language whose popularity has been on a steady rise. It is a general-purpose language that has a wide range of applications. Another reason behind its popularity is the readability and minimalism. A complex instruction can be expressed in a few lines of codes.
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An illustrated guide to becoming a DevOps Engineer or Programming Language expert with links to relevant courses.
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If you're looking for a change of pace, learning to code in Python might the way forward. Coding offers different opportunities, good pay, and possibly the chance to work from anywhere on your own schedule. Coding is also one those future-proof jobs; until the machines take over anyway.
Source: HOB35529
Python is one of the most popular programming languages of recent years. Its clear syntax and readability make it the perfect coding language for beginners. It's forgivable to think that learning Python was essential given its wide usage.
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Intel's support of Accelerated Python continues to make it the logical choice for any performance-sensitive Python users (plus it's free!). Intel's distribution is a tuned version of the open source Python we all normally use.
Source: HOB16395
Blockchain development has revolutionized various aspects of technology. It has a wide range of applications especially the ones that involve data storage and manipulation. Currently, blockchain is one of the most-sought technology. Everyone is looking to incorporate it into their products. Just like most technologies, the root of blockchain development is programming languages.
Source: HOB7179
The Python language's two main advantages are its "Simplicity" and "Flexibility". Its straightforward syntax and use of indented spaces make it easy to learn, read and share. Soon Python will be the world's most popular coding or programming language among all the languages. In the past 12 months Americans have searched for Python on Google more often than for Kim Kardashian, a reality-TV star.
Source: HOB13011
I am a big fan of JavaScript books and programming language. Being a long-time learner of JavaScript, I've had the pleasure of reading a great many of the popular JavaScript books on the market. These days I tend to skip the ones targeted to rank newbies, but I still read a lot of books intended for JavaScript developers with a little experience.
Source: HOB7452
Python versus Go Programming Language has always been a popular controversy among tech geeks. Python, created by Guido Van Rossum, is undoubtedly one of the most popular languages among data scientists and developers. It is easy, convenient and very flexible with its applications. On the other hand, Google's programming language Golang, popularly known as Go, has the advantage of being expressive, clean and efficient and being dynamically typed.
Source: HOB11946
Kotlin comes from industry, not academia. It solves problems faced by working programmers today. As an example, the type system helps you avoid null pointer exceptions. Research languages tend to just not have null at all, but this is of no use to people working with large codebases and APIs which do.
Source: HOB28554
Deep Learning algorithm is one of the most powerful learning algorithms of the digital era. It has found a unique place in various industrial applications such as fraud detection in credit approval, automated bank loan approval, stock price prediction etc
Source: HOB16398
So the question is Python Vs Ruby. Before we actually make a choice on this, let's just say that there is a lot of talk about this and to an extent you could say that the debate has been laid to rest. However, here in India, apart from the small fraction of people involved in competitive coding or open source contributions, this is still a burning question. Which of these two languages, which is rapidly increasing in popularity, should one learn to get a job?
Source: HOB14418
There is no doubt that computer science is a very marketable course and talk of the town nowadays. Upon your graduation and computer science knowledge, you are guaranteed of landing a high-paying job. On the same note, this course is very wide. Computer science opens you up to many different career options. You can choose to be a software engineer, data analyst, system administrator, security analyst, and many others.
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Considering the extensive number of the modern programming languages, deciding which one to take by its horns and master can be a strenuous task.
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Python has built considerable buzz in the large-scale web development space, but despite its popularity, it has failed to penetrate enterprise development. In this area, Python is still regarded as an alternative scripting language to Perl.
Source: HOB16677
Lua is a scripting programming language born in Brazil and is quite special. Lua, compared to the well-known programming languages such as PHP, Perl, Python, and Ruby, stands out for its extreme compactness, speed and a strong emphasis on the description and management of data.
Source: HOB75780
This quickstart tutorial will get you set up and coding in Python for data science.
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Whether you're planning to work on best programming languages and earn the highest salary, or you want to make a long-term move to another country, this collection of rankings should give you plenty of information to help pick a great city where you can practice software development outside of the US.
Source: HOB40233
Big Data visualisation is among the utmost important components of working with various Big Data analytics solutions. Once the flow of raw data is represented with images, decision making becomes much easier. In order to meet and exceed the customer's expectations, the tools for Big Data visualization should provide a certain set of features.
Source: HOB8508
Python is one of the popular high-level programming languages used in an extensive variety of application domains. The language was created by a Dutch programmer known as Guido van Rossum and initially released in 1991.
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Deep learning is an exciting subfield at the cutting edge of machine learning and artificial intelligence. Deep learning has led to major breakthroughs in exciting subjects just such computer vision, audio processing, and even self-driving cars. In this guide, we'll be reviewing the essential stack of Python deep learning libraries.
Source: HOB19299
Since its inception, the programming language R has been one of the leading preferences for Data scientists & researchers and statisticians. R is a GNU package which was appeared in late 1993; it is a free software environment for statistical computing. In recent years R's popularity has increased exponentially due to advancements in Data analytics field.
Source: HOB11457
The current 'big data' era is not new. There have been other periods in human civilisation where we have been overwhelmed by data. By looking at these periods we can understand how a shift from discrete to abstract methods demonstrate why the emphasis should be on algorithms not code.
Source: HOB5526
In this Python Interview Questions & Answer Session, I will introduce you to the most frequently asked questions in Python interviews. This list is the perfect guide for you to learn all the concepts required to clear a Python interview. Our Python Interview Questions is the one-stop resource from where you can boost your interview preparation. We have 40 questions on Python Programming and additional 10 MCQs which will help you with different expertise levels to reap the maximum benefit from our list.
Source: HOB66039
Perennially popular programming language Python may be a fan favorite, but can you make a living as a Python developer? More to the point, how is the job market holding up for one of the world's most popular languages? As it turns out, you can't go wrong with Python - and recently, things feel very right.
Source: HOB24897
Big Data industry and data science evolve rapidly and progressed a big deal lately, with multiple Big Data projects and tools launched in 2017. This is one of the hottest IT trends of 2018, along with IoT, blockchain, Artificial and Machine Learning.
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R programming language is data analysis software which is used by analysts, quants, statisticians, data scientists, and others.
Source: HOB7122
These are a bulk of people pondering the same question that which programming language is best for Machine Learning and exploring different answers but at a hanging stage not knowing which one is correct and which one should they follow.
Source: HOB11160
If you want a programming job in finance right now, you probably need to learn Python: Goldman Sachs is currently advertising around 320 jobs which mention Python, J.P. Morgan is advertising 809. But if you want a programming job in finance in future, you might want to familiarize yourself with a language that's far more niche: Rust. Rust's advocates suggest it will become the next big thing, in time.
Source: HOB12699
You're probably aware of this by now: data science and data analytics are the skills to have in this day and age.
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In the fast-paced world of programming language technology, complacency can be a career killer. So too can any number of hidden hazards that quietly put your career on shaky ground - from not knowing your true worth to thinking you've finally made it.
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There is no doubt that IoT is here to stay. According to a 2018 survey, about 46% of companies are delivering IoT solutions, while 29% plan to deliver an IoT solution in the next 18 months.
Source: HOB57189
Data scientists are really on a roll right now. For a role that barely existed five years ago, the demand for qualified data scientists has reached a fever pitch in the tech world. As a result, data scientist salaries can be quite lucrative if you end up with the right company or in a top location.
Source: HOB9714
Guido van Rossum, a Dutch computer scientist, set himself a Christmas project. Irked by shortcomings in other programming languages, he wanted to build his own. His principles were simple. First, it should be easy to read. Rather than sprawling over line-endings and being broken up by a tangle of curly braces, each chunk would be surrounded with indented white space. Second, it should let users create their own packages of special-purpose coding modules, which could then be made available to others to form the basis of new programs. Third, he wanted a short, unique and slightly mysterious name. He therefore called it after Monty Python, a British comedy group.
Source: HOB74754
DevOps involves infrastructure provisioning, configuration management, continuous integration and deployment, testing and monitoring. DevOps teams have been closely working with the development teams to manage the lifecycle of applications effectively.
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A Python developer can make an average of $107,578 per year. That's pretty good, but many companies aren't looking for a "pure" Python developer they're looking to fill roles that require extensive knowledge of Python, but aren't full-time development gigs.
Source: HOB24885
One of the most important things is to decide what are the best blockchain programming languages and which would be the most beneficial of them for blockchain development.
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Data is absolutely priceless and the new gold for all businesses. But it is not a cake walk to analyze it as greater things come at a greater cost. With the tremendous growth in data, we need a process to extract useful insights from the raw data.
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Most popular programming languages like R and Python offer great value in bringing data science and machine learning jobs to successful completion.
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If yes, then the first step is to understand the basic terms and their usage of data science.
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AI is a huge technology. That's why a lot of developers simply don't know how to get started and choose the best programming language. Also, personally, I've met a bunch of people who have no coding background whatsoever, yet they want to learn artificial intelligence.
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There are a ton of Resources & Tools out there that promise they can teach you "how to code" - but what does that mean exactly if you're a tech newbie, and what if you're not sure you're ready to invest in a formal course? I was in the same shoe.
Source: HOB131268
Here are the tools and programming languages that tech job seekers are searching most on Indeed.
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A survey of Rust users finds difficulty and frustration with the programming language's highly touted features for memory safety and correctness
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If you have doubt in your mind regarding the future of data science then definitely you are concerned the techniques and tools such as Python, Hadoop or SAS will become outdated or going ahead in a data science course will be beneficial for your career in the long-run or not.
Source: HOB5247
Your business may need a dynamic web-based solution, however; the extensive range of options available in the case of programming languages may leave you confused. It is important to understand that selecting a language or a platform in a startup is definitely one of the most crucial decisions. Though there are multiple developmental languages, Python is becoming the most preferred one, especially among startups on account of multiple reasons.
Source: HOB8028
It can't be denied that Big Data is a hot topic in present times. But there are businesses still struggling to shift from concept to execution. The only new thing which allows us to make sense of this information is analytics. The primary goal of analytics is the exploration or application of analytic techniques to large amounts of information in variety of types including unstructured data which comprises of text strings, sound and movie files, documents, images, geo-location data, and documents.
Source: HOB5046
As it is the case for any programming language skill, it is essential to learn the basic terms used in that domain before going full-fledged into practice mode. Knowing terms help you understand your domain better and faster.
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There is a dire need to constantly innovate to protect sensitive information. Here is a list of top Python libraries to dodge and detect cyber attacks
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The field of data is concerned with mining the huge volume of data flowing into the organization's warehouses via effective and proper application of scientific and mathematical skills at the same time.
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Is computer science a difficult course? Well, most people think so. Being a technical course, it is obvious that most people expect to encounter some difficulties when studying it. However, most people believe that generally, computer science is not that hard. There are some few topics that are very simple to grasp. However, there are other topics that seem to be quite hard.
Source: HOB26937
What Is Python And Why Is It So Popular Now? Python has recently been doing quite the rounds. Well, no this ain't a new language and was developed long back in the year 1991. However, Python has become quite popular these days. This is an interpreted programming language which is being used worldwide to develop websites, algorithms and simplifying the process of automation.
Source: HOB10020
D lang is a high-level programming language designed for coders who use C and C++ extensively. It is defined as a general purpose systems and applications language. The philosophy that drives D is that It is intended for coders who want to complete their tasks quickly and efficiently.
Source: HOB9306
Data science is basically the application of a combination of mathematical, statistical, analytical and programming skills for the collection, organization, and interpretation of data to allow effective and proper management of the business whose data it is.
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Gone are the days when banks used to store customer information (such as names, photographs, and specimen signatures) in individual postcard-like data sheets.
Source: HOB5829
Python is commonly compared to different understood languages like Java, JavaScript, Perl, Tcl, or Smalltalk. Comparisons to C++, Common Lisp and theme can even be enlightening. During this section, I'll shortly compare Python with all those languages.
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According to Q&A hub Stack Overflow, Python is currently the fastest-growing programming language-and is on track to pull away from the rest of the pack in 2019.
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Code repository service GitHub has shed light on what's fuelling the continued interest in JavaScript. While Python regularly polls as the fastest-growing language, JavaScript is consistently the most popular.
Source: HOB6777
To make the system more effective it is necessary to choose the right platform for an IT project. All languages are not the same, either its German, French or Japanese we always choose languages which will suit us, but how do we get to know that which is the best and what will suit us. According to the software that you have planned, there are possibilities that many programming solutions might have misfits. All you need is to choose the best language that fits your software by recognizing that your software does not perform in a sequence which is unpredictable, software is complex or not, what are the hardware and operating platform on which the software should be able to run on.
Source: HOB5721
Python, the in-demand programming language. This is what everyone is saying. In fact, it is the most recommended programming languages for beginners. Students who are starting their career are advised to start with the programming language called Python. But, why is it so? Why only Python and not other programming languages? What does Python have that makes it so easy?
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Those with a computer science degree in the UK earn five times more than those with arts degrees, according to the Sunday Times.
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On the narrow definition of engineering perpetuated by boot camps and other coding initiatives A friend of mine recently recounted an interaction with one of her co-workers. Described as a generally nice guy,
Source: HOB10521
Go programming language was developed by Google to meet the needs of a world defined by multi-core processors, networked systems, computer clusters, and web applications.
Source: HOB34638
Learn how to code the classic game Tetris using Python and Pygame. This full tutorial is meant for intermediate programmers with some experience, but everyone is welcome to follow along.
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The majority of artificial intelligence (AI) research to date has been focused on the vision. Thanks to machine learning, and in particular deep learning, we now have robots and devices that have a pretty good visual understanding of their environment.
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Machine learning is developing with a huge growth these days. There are multiple open source tools available which make the application easily. Most of the frameworks of machine learning are fed by a Python programming language, JavaScript is also not lagged behind.
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Nothing is quite so personal for programmers as what language they use. Why a data scientist, engineer, or application developer picks one over the other has as much to do with personal preference and their employers' IT culture as it does the qualities and characteristics of the language itself. But when it comes to big data, there are some definite patterns that emerge.
Source: HOB28974
Wanted to build yourself? Yes. These paths help you to eliminate that workload which you have to do otherwise. There are a large number of resources which are overwhelming when you enter into data science. And for that, you have the learning path which gives you a success in the community. We have a complete path of learning to become a data scientist in 2019.
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There's most hype concerning frontend technologies like Vue.js, AngularJS, ReactJS within the web development domain, it gets straightforward to ignore the backend. Normally, users are additional doubtless to note what is served before their eyes and not observe of what goes behind the scenes. Backend web development involves the part of coding that isn't seen by the user. Most often, backend web developers are liable for the code behind juggling data to and from the frontend.
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Skills of data analytics have become the leading factor in terms of the advanced development and for the career perspective, the demand of the data analyst is increasing day by day. There are several online courses which you would prefer if you want to build your career as a data analyst as it will help you to learn the fundamentals of data science, the key tools of data science and the study of programming languages in the analysis of big data.
Source: HOB11274
The selection process of data scientists at Google gives higher priority to candidates with strong background in statistics and mathematics. Not just Google, other top companies (Amazon, Airbnb, Uber etc) in the world also prefer candidates with strong fundamentals rather than mere know-how in data science.
Source: HOB7215
The rates of unemployment are at a lower phase and the economy is booming. There are many companies who are facing the shortage of data engineers and wanted some professionals with high skills. It is really difficult to get skills for both data scientist and data engineer in the same file while taking the step towards it is the personal choice which profiles you want your career to be in.
Source: HOB8868
As they say, old is gold. Although there are many new programming languages being invented to ease the development, some old languages are still having a very significant impact.
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In the ever-changing ecosystem of data science tools, you often find yourself needing to learn a new language in order to keep up with the newest methods or to more effectively collaborate with coworkers.
Source: HOB11193
Have you ever encounter a programming language that is neither readable nor understandable? There are a few coding languages called 'esoteric programming languages' or esolang.
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Get started with python popular language or buff up on your coding skills with this curated book list.
Source: HOB67422
Data Analytics tools, latest technologies, and programming languages are required by data science which helps the data scientists to gain meaningful insights and value from the data. A recent survey of nearly 24,000 data professionals by Kaggle revealed that Python, SQL, and R are the most popular programming languages. The most popular programming language was Python 83% used. 3 out of 4 data professionals recommended Data Scientist should learn Python programming language.
Source: HOB112527
When it comes for choosing a book then we are always confused o what should we choose? What will be the better guide for your learning? Will the beginners guide be too easy? So here are few books which will help you find the leading learning guide for your better career.
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Python Certification is the most sought-after skill in programming domain. In this Python Interview Questions blog, I will introduce you to the most frequently asked questions in Python interviews. This blog is the perfect guide for you to learn all the concepts required to clear a Python interview.
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Data Science is one in every of the quickest growing fields in India and Matlab comes with really easy learning. Matlab, the programing language developed by MathWorks that is an appropriate platform for predictive analysis and is simple to implement new options.
Source: HOB7785
There are numerous tools that exist within the Java world, ranging from a renowned day like Eclipse, NetBeans, and IntelliJ plan to JVM identification and observation tools like JConsole, VisualVM, Eclipse Memory instrument, etc. This article comprises of general tools, that are applicable to each reasonably Java developer, e.g. each core Java and net developers.
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As requested, I'm publishing this guide for those wishing to choose between Python and R Programming languages for Data Science. You may be new to Data Science or you need to pick one choice on a project, this guide will help you.
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Python is the programming language amongst all which is gaining popularity the most. People interest shifted towards Python and all are learning this language. I learned HTML and CSS however, currently, I'm trying to find a language that I will use for more than internet development.
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Java is not the new language in the sphere of technology. It is known to be the oldest coding language. There is a huge development which is achieved by programming and there is more growth since the inception of java.
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While you are a programmer, it is not necessary that all you know is about coding. You should also have the knowledge of the books or have the habit of reading. And it is known that books are a great source of knowledge. Here you will get information about many things other than programming that might help you for becoming a better programmer.
Source: HOB5490
While you are a programmer, it is not necessary that all you know is about coding. You should also have the knowledge of the books or have the habit of reading. And it is known that books are a great source of knowledge. Here you will get information about many things other than programming that might help you for becoming a better programmer. So here is the list of popular 10 books which every programmer should strive for reading these books.
Source: HOB564063
Python is an object-oriented programming language created by Guido Rossum in 1989. It is ideally designed for rapid prototyping of complex applications. It has interfaces to many OS system calls and libraries and is extensible to C or C++.
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This video will show you the top four programming languages to learn in 2019 to get a job without a college degree. The way that I've ranked these languages they are based on three things number firstly, the time it takes even an absolute beginner to go from complete zero and ultimately getting a job without needing a college degree, Job Market: now this is the most important one you guys this is what you're here for the salary and how much money are you making? Productivity: how fast can you go from conception of an idea to a completely coated application that another person can use.
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Artificial intelligence and Machine learning have penetrated every sector. So, if you want to get to college, maybe an artificial intelligence robot will determine if you can get in. You see a car playing on the road which is driverless, after noticing it you know that there is the role of artificial intelligence in it. How can the software development be left behind?
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As a computer science student, you don't need to totally rely on the knowledge that you just get from the room. You must focus on the far side that. On condition that computing may be a terribly wide field, the information from the room is definitely not enough. You must try to browse the most effective computing books.
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There is huge material for the people who are interested in the machine learning with python. As we moved to the new year 2019, it is a good time to again visit the concept and get the way for the new learning path for mastering machine learning with Python.
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Cloud engineers professionals responsible for assessing a business's infrastructure and migrating different functions to a cloud-based system are in high demand, as more companies move critical business processes and applications to public, private, and hybrid cloud infrastructures.
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How you will feel different in 2019? Everybody thinks about it twice. Well, if you are willing to dive in a career in tech and you have the ambition for learning, you are recommended to focus on these 5 career choices, it will take you to reach heights and your invested time and money would be worth.
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How to learn to code? Best resources available online? How to choose a personal project to work on? Thoughts on getting a computer science degree or going to coding boot camp!
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One of the hardest questions will face is when you start tackling programming, is what language should I learn first. Let us talk through some of the concerns that you might have, it feels like if you choose a language that you are making a final decision about what you're going to be doing for the rest of your life.
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This is going to be an ambitious video as here ten languages are discussed just to give you an overview because people are always asking. What do you think of this? What do you think it would even use C++? What do you think of C? What do you think of prepped Python? Where do you think of Ruby? What do you think of sleuth?
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Developers are the main tech professionals in the organization with increased demand and talent shortages leading to large salaries for many of those in the field. Software development is a dynamic field, in which new programming languages, frameworks, and technologies are included and this job needs constantly change.
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If you want to become a freelancer in programming or if you want to be a freelancer developer, which language should you learn? This is a question many people get all the time! And there are many who keep answering it from different points of view.
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Books which are for free and helps you in you to build your career well.
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Have you recently been to a CIO Summit and learned the various ways in which data science can revolutionize your business? Are your competitor's building data products garnished with machine learning and your CEO feels that you should do the same? It is now time to hire your first superstar data scientist and get back into the game.
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People are a little bit confused that which programming language they should learn and they follow. The answer is also difficult that which one should be ranked one so that everyone can focus on the languages. Here are programming languages used for machine learning according to my personal experience as a programmer.
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There are people who love reading books but can't buy them as it is not affordable for them. And the books which are related to machine learning and data science are not even cost-effective. This would be quite fair as writing the books take a lot of effort and hard work in publishing that particular piece.
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We are going to talk about the top five programming languages to learn about getting a job at companies like Google, Facebook, Microsoft, etc.
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Importance of framework in programming languages is best and that's the one and only one reason that our phone's operating system doesn't come pre-installed with all the applications on the app store. Frameworks are built with different dependencies. Some frameworks require very specific versions of other libraries, which may be incompatible with the library versions used by another framework.
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There are in total three various elements which allow the interaction of multiple programming languages and data is provided to the end user.
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The best thing about a computer science job interview is that the technical questions aren't very unpredictable. If you are going for a specific CS/IT job then you should have enough knowledge of that field along with the basics of computer science.
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In a 2017 business research article IBM predicted that the need for Data Scientists will increase by 28% by 2020, with nearly 3 million job openings for Data Science professionals.
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People waiting to learn python have the option as Mike Dane created this in-depth video course for Python. There are several programming languages but Python is the priority of every individual.
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A career in data analytics is not only concerned with learning Python or Hadoop, but it also takes into consideration various skills
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There are many popular coding languages which we use in our daily lives. But here I have listed the top five most demanding programming languages:
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There are several programming languages like Java, C++, Python, and so forth. Due to higher demand, it is really easy to learn common languages, but there is a drawback in it, as there are many who are learning that language which brings up a higher level of competition and it becomes tough to command the highest pay rates.
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There is significantly less job demand for data engineers proficient in R than those proficient in Python, according to a Cloud Academy report.
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Online classes help you to build your resume, and there are several cases in which many people have made a transition from a marketing role to a tech role and made them much more marketable in a job market where tech rules.
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Whether you are a working developer or a student you can have prior knowledge of C++ and data structures through these guided books. These books will help you learn how to use C++ to create faster, simpler, and more efficient C++ applications.
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Python breaks into the top three programming languages in the Tiobe Index for the first time. The popularity of Python shows no sign of waning, with the programming language entering the top three in the Tiobe Index for the first time.
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If you want to dive into the field of Java programming language, these are the major courses which will help you in your career as well as give you the brief introduction of JAVA.
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Online code repository GitHub has pulled together the 10 most popular programming languages used for machine learning hosted on its service, and, while Python tops the list, there are a few surprises.
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Enhance your career with these tutorials in data science, they will give you the whole concepts and the courses for beginners as well as data scientists.
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Master Multiple programming languages with different books which will enhance your knowledge and teach you the techniques of Learning programming languages.
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I am new in data science, what language should I learn? What's the best programming language for machine learning?
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I have briefly discussed some of the most popular Big Data frameworks and showed that Java is the de-facto programming language in Data Intensive frameworks. Java had significant advantages (e.g. Platform Independence, Productivity, JVM) over other languages during the timeframe 2004â??2014 when most of the dominant Big Data frameworks were developed.
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PowerShell has entered the TIOBE index top 50 coding programming languages. Here's why.
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In early 90s kids use to play games like Chuckie Egg and the famous Grannys garden on the BBC micro which was the latest and the first computer to which we were introduced, but ultimately the excitement was getting the computer performing multiple tasks in the basic programming language.
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So you people must have heard about the very old language which is PowerShell and it is noted that it's been trending and has reentered the TIOBE index in the march ranking in the top 50 leading programming languages.
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Python Programming Langauge is a high-level, interpreted and general-purpose dynamic programming language that focuses on code readability.
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Building robust web apps quickly is very difficult, time consuming and resources consuming. Each web app development programming languages and frameworks has its own disadvantages.
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The usage statistics posted on several websites depict that Python programming language is currently more popular than R. However, Python is a general-purpose programming language.
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C++ was developed by Bjarne Stroustrup in the 20th century and since then it has been one of the favorable choices of any programmer to code in the language.
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It seems that these days building a career is a bit dicey task and here you will see how to build a career in machine learning with R programming language.
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Beware these engineering mistakes for your early stage software startup. Startup engineering is different from any other type of software engineering. It demands short- and medium-term productivity, relative to the "right way" of building systems.
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Know the basics of data science to build your career and have influenced learning capabilities.
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If you are interested in a career in cloud computing and don't know where to start, here's your guide for the best programming languages and skills to learn, interview questions, salaries, and more.
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Do you think learning to code is easy? If yes then every third person would be doing it. But learning how to code has much disturbance means ups and downs.
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Despite scoring decent grades in both my CS101 Algorithm class and Data Structures class in university, I shudder at the thought of going through a Programming Language Interview that focuses on algorithms.
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Online learning is beneficial for every student as well as professionals. Here are some foreign universities offering you some courses to enhance your knowledge in Python programming Language.
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Here are some courses in Data Science which will take you to the real world of data science.
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Machine Learning has a growing career with nearly every of the IT, Financial, Healthcare using Machine Learning to solve bigger issues and challenges.
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In recent years, the artificial intelligence field has seen massive advancements. However, according to Facebook's Chief AI Scientist, Yann LeCun, for the growth to continue the industry might need to focus on producing chips dedicated to deep learning, as well as a new more efficient programming language.
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Data science is a growth area; here are some of the factors you need to take into account if you want to make the move.
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Working as a Data Scientist you will analyze data sets which are more complex and large in number as compared to a Data Analyst job.
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Some books will enhance your knowledge of learning with multiple key points.
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According to Spectrum Survey conducted by IEEE, R ranks 7th among the top 10 Programming Languages of 2018.
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Learning how to code is not only sufficient but you should be aware of the skills which you will be needing while succeeding in life with coding.
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The Graphics supported by R and its statistical features are considered better than SAS.
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We always hear from some or the other person about a developer, hacker, or a computer scientist.
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Hunting for a job as a software developer? Want to stand out from the competition? Elina Panayotova goes over what you need to know for your next interview to make sure you get the tech job of your dreams.
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There are a lot of computer science graduates and programmers applying for a programming language, coding, and software development roles at companies like Uber and Netflix; big organizations like Amazon, Microsoft, and Google; and service-based companies like Infosys or Luxsoft.
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Learning paths are immensely popular among our data science & machine learning readers and with good reason! Learning paths take away the pain and confusion from the learning process.
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In 2003, Paul Graham wrote about his company's decision to use Lisp a programming language. His essay portrays Lisp somewhat like the French of computer languages -unique, esoteric, and able to give expression to the inexpressible (je ne sais quoi). It was Lisp, he argues, that gave his company an unfair advantage over its competitors.
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It is undeniable that technology is the driving force behind modern innovations being witnessed today. Most of the innovations are being controlled by custom software applications. A greater number of innovations use different software as well.
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The role of a Data Scientist depends most on the organization he is working on.
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There are multiple platforms and streams for developing a product or application. When we talk about technologies and programming languages, Java is the most preferred platform.
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It can't be denied that Big Data is a hot topic in present times. But there are businesses still struggling to shift from concept to execution.
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C and C++ is a language which is not often used in your profession but it will give you a lesson for a lifetime.
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In many of the cases, aspirants do not know about the responsibilities each position carries. I have discussed two such roles here, Statisticians and Data Engineer which are confused a lot by the aspirants.
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This article will dive through some of the most Frequently Asked questions in Data Science Interviews with the help of a popular video of YouTube so that your preparation for the next Data Science interview becomes easier.
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This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline
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This is how I won 3 out of 4 Gold medals in the Computing Olympiad For Competitive Programming Language.
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So it is a mix of programmatic and business concerns about each of the programming languages.
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Which Programming Language most of the hackers use? So, here we can see that hackers use multiple languages.
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People often argue about which programming language is superior, PHP or Python.
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This article discusses those top 3 skills which are required by every Data scientist and it won't be wrong to say that these 3 skills are like the 3 keys in unlocking your success-door in the field. It thus becomes very important that you take these 3 skills very sincerely and start developing them right from today.
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Are you thinking that from where would you learn Python Programming Language? So here are multiple resources to go through.
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Look. Facts and facts. They are not made by anyone. It is just what is happening. Here are some numbers. By all the numbers here are US market only.
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Here are some professional courses in computer science, machine learning and artificial intelligence offered by MOOC the online platform.
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Sometimes its good to analyze oneself. Sometimes its good to know the reality that whether you are a good fit for your job or not. Make sure your communication is all not holding you back from being a Good Data Scientist.
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Python Programming language should be on the tips for beginners and professionals.
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Do you want to start a career as a blockchain developer? Or maybe you simply want to create your own Joecoin just for fun? In any case, you need to know a programming language. Tune in to find out the best options available!
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Some HiTech Engineers or college grads will now pop up and say Coders & Programmers are same but they are NOT.
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The future of Machine Learning is bright and if you have really thought over of getting your career started in Machine Learning than I must say -" You have made the right choice for your future". Here I have arrived with some of the most important points you need to successfully start your career.
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Based on my brief tryst with programming, I strongly recommend the following websites for learning C, C++, and Java.
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Many of the learners quits their first programming language after their some unsuccessful attempts and make a diversion in their career. This is for the reason I decided to write an article for anyone who is on the difficult terrain of learning a programming language and want some guide to help him out in tackling the challenges faced in Programming.
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earning all about PHP in a week is impossible for an average person but a scheduled time table can help you to study on core areas enough to become a website developer.
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Whether you just want to stay informed in the data craze or you're looking to kickstart your data science or data literacy journey, this article features a list of books.
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Many technical skills require training and experience to master. They are also typically a type of hard skill. Hard skills are those that can be taught in a classroom and can be defined, evaluated, and measured.
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Here are some books for learning some famous programming languages like Java, C++, C and many more.
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If we see, the demand for programming languages skills like Java and PHP is increasing day by day and the salary offered is also rising rapidly.
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Chatbots are of immense importance in the present times where using chatbots majority of the tasks in the companies like promotional campaigns, branding, customer services and queries are easily handled using chatbots.
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The latest release of PyPy boosts the performance of the already fast Python interpreter.
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IPL (Information Processing Language) was the first language developed for artificial intelligence. The language included features to perform general problem solutions.
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With regard to a Data Scientist apart from the soft skills and the business acumen technical skills also becomes a very important part.
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Here are some machine learning books which will give teach you an in-depth analysis of machine learning algorithms.
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A Big Data Analyst is the person in the organization who collects data from various resources, clean it for further processing, converts it into another format which is easy to analyze (also called Data Munging) and finally analyze it for finding hidden patterns and useful information from it (also called insights).
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About $100,000 a year. That's the answer if you have been programming for 4+ years and work in a major tech hub like the Bay area or NYC.
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Let's keep up everything in brief: If a C++ class definition takes up more than 1,000 lines, it's a pretty good indication that the class has multiple responsibilities and needs to be broken up.
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If we will look at the job description of the majority of the companies for Data Scientist or Machine Learning Engineer, Programming in Python will be the one skill set that will be common in every description. Because of so much demand for Python today, it has become essential for any enthusiast in Machine Learning or Data Science to be skilled in working in Python.
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In this tutorial, you will learn the concept of computer programming and the types of programming languages available,
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While the beginning was seemingly humble, PHP development in the modern world has attained epic proportions.
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Facebook's commitment to the wider dev community remains as strong as ever if recent developments are any indication.
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Some of the job roles in IT are so interlinked that it becomes difficult to segregate them often. The role of a Programmer and a Software Developer fall in that category. In this article we will try to clear this big confusion and will take you in depth of the responsibilities handled by both and the differences the two of the roles carry.
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Here are some videos of machine learning frameworks which are divided into 3 parts.
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As adoption of AI and machine learning increases amongst businesses, the number of software tools for developers has also grown.
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Despite starting computer-science degrees with high skills in math and science, students in China and Russia don't end up as good as their US counterparts.
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Here are few ways to improve from a Junior or Mid-level Python developer to a total coding rockstar.
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Some books which will help beginners and professionals to boost up their Programming knowledge.
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Let us get started, but before we begin with the face off. Let me brief you about each of these tools one after the other.
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The IT revolution has made quite an impact on our lives these days. It has bought a revolution in the way people choose their career options.
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The core team behind Rust has put together a roadmap of the new features and improvements expected for the language this year.
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Python is a programming language developed by Guido van Rossum. It is a dynamically typed language with very high-level data structures. Here are some features of Python Programming Language.
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Java is a programming language formulated by Sun Microsystems and was publicized in 1995 as a core component of Sun's Java platform.
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Machine learning has been one of the top tech new topics in recent months and is now being widely applied to businesses. Briefly, machine learning (ML) is an application of AI (artificial intelligence) that allows systems to learn and improve without being directly programmed.
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I love programming languages. Every one of them has this catchy thing that I wished the others had. Lately, I've been distracted by the question of which language would I use if I would start a new side project.
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Technology growth within the last decade has been so huge that things once considered inconceivable are now commonplace and functions and jobs that once required high skills and extensive training can now be performed by almost anyone.
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Here is the list of 8 best programming languages and frameworks that you should look for in the year 2019 based in various and stats & facts.
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Without a College Degree. How we're gonna rank these programming languages from number five to number one is based on three things.
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The Dragon is an innovative and practical general-purpose language. The supported programming paradigms are imperative, procedural, object-oriented, declarative using nested structures.
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The task of learning how to program is a daunting one. There are also several myths associated with who a programmer is.
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Becoming a good programmer is incredibly difficult and it doesn't happen quickly. We can't expect to plant some trees and have 2000-year-old redwoods grow overnight, regardless of the demand for them.
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Class Central started covering massive open online courses (MOOCs), almost all course certificates were free. Then, one by one, the major MOOC platforms began offering paid upgrades to verified certificates, then all but stopped giving out free certificates.
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Machine learning and artificial intelligence are growing fields and growing topics of study. While the advanced implementations of machine learning we hear about in the news might sound scary and inaccessible, the core concepts are actually pretty easy to grasp. Here is the list of the most popular resources for machine learning beginners. Some of these books will require familiarity with some coding languages and math, but we'll be sure to mention it when that's the case.
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As cosmologists ponder the universe-and other possible universes-the data available to them is so complex and vast that it can be extremely challenging for humans alone to comprehend.
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A simple, fast, open-source, complete and safe language for developing modern software for the web.
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What is a programming language? I'd say it was a computer language you could use to make a computer do a series of actions. This is why HTML, for example, ISN'T a programming language, since it just specifies how text and images should be displayed on a website.
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As you can see that PubG is the most top-rated game across all the platforms having 2 million daily users all over the world.
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At present, Java is more popular than another programming language. It is also a programming language which is used widely by developers for building desktop GUI application,
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The Go team at Google describe how the team is working towards meeting its original ambitions for the language.
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Lots of students have been a success with getting their first job or promotion after going through these courses.
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Learn to Program and Analyze Data with Python. Develop programs to gather, clean, analyze, and visualize data.
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Here are some books which will help you to boost your knowledge of data science and some of its fundamental tools.
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In this article, you will get to know some of the best frameworks to get you started with AI development.
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In some ways, programming is like riding a bike. You're not going to forget how to write code if you don't do it for a while. On the other hand, it's a skill that takes plenty of practice to learn and even more to maintain.
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House of bots offers tech-related information, like Artificial technologies, Machine learning, Robotics, Chatbots, Data analytics, Neural Network, and Cloud computing. HOB is the solution for different users like tech-savvy, job providers and job seekers, etc. HOB is a B2B platform.
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Here are some of the best courses, books, and tutorials of Programming language which will help you to master programming languages with a certified place and help you to get in-depth knowledge.
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Java is the platform-independent, object-oriented programming language used for developing web and mobile applications.
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It is the toughest job to find Developers with skills in Java and Python programming languages as the UK's skills shortage spreads beyond the capital.
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Python is a very simple programming language so even if you are new to programming, you can learn python without facing any issues and Java is a general-purpose, object-oriented programming language designed for the development of software for consumer electronic devices, such as TVs, VCRs, toasters, etc.
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C++ program is an object-oriented programming language, C++ is a high-level language that is much easier to use than the other low-level languages such as binary coding. It takes much more space than low-level languages but it is much easier to understand and learn.
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PHP or Hypertext Processing is a programming language that is becoming increasingly popular among users. Its efficiency and friendliness allow it to be the ideal programming language when it comes to web browsing.
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Python is a gem in the IT industry: Python was conceived in the early 1980s and presented to the industry in the late 80s.
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Get valuable hands-on experience with Swift, the open-source programming language developed by Apple with these practical guide.
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A data scientist will be responsible for designing and implementing various processes and different layouts for the intricate and large-scale datasets that are basically used for modeling, data mining, and various research purposes.
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Become a Fluent Programmer through these books. Learn the fundamentals and become an independent programmer.
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A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges. The goal of data science is to improve decision making through the analysis of data.
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This article will provide you some helpful information about the scope of Python professions in Information Technology. Let us begin with an overview of python.
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Java is known as one of the most-liked programming languages of our time. The language has been existing for two decades.
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So there is an unexpected move in the Python Programming language, and after some great prediction, it is noted that this will the most leading programming language in the world.
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An object-oriented programming language, the use of Java spans a number of computing platforms. It can be seen practically everywhere nowadays- be it supercomputers, enterprise servers, mobile phones or embedded devices.
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Some easy resources from where beginners can start learning data science and its model for easy growth.
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Developers have a new machine-learning-powered autocomplete service to help speed up their programming.
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Python Programming Language is in high demand and has multiple opportunities too for every python developer.
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The Go team at Google describe how the team is working towards meeting its original ambitions for the language.
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Everyone holds equal potential, and the chance to learn programming language easily. Today, we will show you a list of top websites that will help to learn to program.
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Learning to code is not only necessary if you're looking to start a lucrative career as a computer programmer, but it's also an incredibly useful skill that will help you develop in-demand job skills.
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Here are some resources to learn deep learning frameworks.
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Welcome! Are you completely new to programming? If not then we presume you will be looking for information about why and how to get started with Python.
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Both Java and JavaScript have commonly used web technologies. The similarities between their names often make beginners feel that JavaScript and Java are related.
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This article will be useful for experienced software developers who want to come into the blockchain industry and for those who are at the start of their own developer career.
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According to several websites, Python is one of the most popular coding languages of 2015. Along with being a high-level and general-purpose programming language, Python is also object-oriented and open source.
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A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.
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Let's check out what are the 5 must-have skills to become a machine learning engineer.
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The Cyber Threat is real and may have grave long-term consequences for those at the receiving end of a cyber attack.
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Ethical Hacking is a loophole for us to do what we love and actually get paid to do it. Programming languages allow us to create anything we can imagine.
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Programming is at the core of these technological innovations and improvements for organizations. Leveraging the right programming language to solve business problems, improve customer experiences and innovate will be the determining factor between the leaders and laggards of the future.
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Java has been the backbone of enterprise apps for many years and until recently the programming language of choice for building Android apps.
Source: HOB5433
Neuro-linguistic Programming language patterns let you become effective with a positive psychological perspective.
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If you are an amateur who's inclined on knowing the Java programming language inside out, doing this will undoubtedly pave your way for timely execution of simple and complex Java development projects.
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Become a Certified Programmer with some online courses without any efforts, just get a Professional degree with less cost.
Source: HOB3675
As a popular language of programming, Python is simple and easy to learn. It reduces the time of developing an application with its features of easy compilation and simple syntaxes.
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Every beginner to Java struggles for a while in trying to figure out the real benefits of learning and implementing Java.
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Data visualization has become big business, because communication is the difference between success and failure, no matter how clever the analysis may have been.
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The demand for skilled data science practitioners is rapidly growing, and this series prepares you to tackle real-world data analysis challenges.
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First of all, it is important to understand that Machine Learning is basically a subset of Artificial Intelligence. ML is the process using which AI learns.
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Guido van Rossum, the creator of the hugely popular Python programming language, is leaving cloud file storage firm Dropbox and heading into retirement.
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Learn how big data is driving organizational change and essential analytical tools and techniques, including data mining and PageRank algorithms.
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Want to learn the Python language without slogging your way through how-to manuals? With Head First Python, you'll quickly grasp Python's fundamentals, working with built-in data structures and functions.
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NLP is a transformational technology. It is an outstanding technique to control and model a human mind and to put it in the fullest potential use.
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This capstone project courses will give you a taste of what data scientists go through in real life when working with data.
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Java software became much more popular because of its cross-platform nature. It means that it works whether it is run by a Macintosh, a Windows PC or UNIX system. Java platform has drawn the attention of more than 9 million software developers.
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Therefore, in order to gain knowledge and become a professional worker, you need to have a brief idea about at least one of these languages that are required in Data Science.
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The demand for skilled data science practitioners is rapidly growing, and this series prepares you to tackle real-world data analysis challenges.
Source: HOB4146
One of the buzz words in computer gaming today is 'artificial intelligence'. All right, so that's two words really, but let's not be too picky.
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JavaScript is a popular client-side scripting language that is used to develop products and applications to run in a web browser.
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Python for Everybody is designed to introduce students to programming and software development through the lens of exploring data.
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If you're an experienced programmer interested in crunching data, this book will get you started with machine learning-a toolkit of algorithms that enables computers to train themselves to automate useful tasks.
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These courses are perfect for true beginners, learn Python basics and start coding right away.
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Python Essential Reference is the definitive reference guide to the Python programming language - the one authoritative handbook that reliably untangles and explains both the core Python language and the most essential parts of the Python library.
Source: HOB3027
C++ is one of the most widely used languages for real-world software. In the hands of a knowledgeable programmer, C++ can produce small, efficient, and readable code that any programmer would be proud of.
Source: HOB2436
Keras, TensorFlow, and PyTorch are among the top three frameworks that are preferred by Data Scientists as well as beginners in the field of Deep Learning.
Source: HOB4155
Nowadays, many professions are disappearing because of technological developments. But there is a skill that is increasing in demand with the passage of time: coding.
Source: HOB2151
Data Science refers to studying hidden insights behind the data and manipulating them in order to find logical solutions to problems in business and industrial contexts.
Source: HOB2103
PHP is the most widely used scripting language, majorly used for web development and application development, all across the globe.
Source: HOB2013
These books provide multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application.
Source: HOB2589
The programming industry is more complex than we have ever thought and simply having the coding knowledge along with the know-how regarding its implementation is just a part of it.
Source: HOB2001
The confusion often arises from the fact that there is an overlap with regard to programming skills. Listed below are some of the key differences between Software development and Data Analytics:
Source: HOB2058
Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends.
Source: HOB3426
After talking to a Software Development Company, we have identified seven of the top resources that can be used for free in order to learn the basics of Swift language.
Source: HOB2049
Once you've identified a big data issue to analyze, how do you collect, store and organize your data using Big Data solutions?
Source: HOB2472
The expert developers dexterously make use of the below-mentioned features of PHP to accomplish the coding of websites belonging to different genres.
Source: HOB1692
The IT revolution has made quite an impact on our lives these days. It has bought a revolution in the way people choose their career options.
Source: HOB2886
Java is one of the most dynamic, powerful and popular programming languages used today. If you are new to using Java, you would be amazed at the excelling features that Java offers and why it is the most preferred programming language among professional programmers.
Source: HOB1962
Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends.
Source: HOB3603
In Information Technology, people who are programmers should update themselves with the latest platforms, versions of several programming languages such as Java.
Source: HOB3093
Every beginner to Java struggles for a while in trying to figure out the real benefits of learning and implementing Java.
Source: HOB2148
Full-stack development is an extensive word that umbrellas various stages of software development such as 'project management, front-end as well as back-end technologies, database management system, and quality assurance.
Source: HOB1719
Many programming languages are used today, some are used, and some have gone obsolete. In the last few years, the programming scenario has changed drastically as developers and programmers are searching for more universal and approachable languages.
Source: HOB2049
First, let us try to understand why you want to select a specific technology. All technologies thrive off the tools, developer community, libraries and applications.
Source: HOB1590
Java is a programming language developed by Sun in 1995. It is designed to be platform-independent. This means that the same program can run regardless of whether you use Windows, macOS, Linux or a cell phone.
Source: HOB1419
Database programming employs structural processing advantages that result in accurate information management.
Source: HOB1173
This is a very simple post aimed at sparking interest in Data Analysis. It is by no means a complete guide, nor should it be used as complete facts or truths.
Source: HOB1365
Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends.
Source: HOB2010
Like most programming languages it is constantly evolving and the language has been tweaked a lot over the past fifteen years to smoother it out as well as improve its efficiency.
Source: HOB1077
Learn what Artificial Intelligence (AI) is by understanding its applications and key concepts including machine learning, deep learning, and neural networks.
Source: HOB2037
If you're an experienced programmer interested in crunching data, this book will get you started with machine learning a toolkit of algorithms that enables computers to train themselves to automate useful tasks.
Source: HOB1704
There are multiple platforms and streams for developing a product or application. When we talk about technologies and programming languages, Java is the most preferred platform.
Source: HOB1626
That is why, it becomes essential for each programmer to understand different versions of Python, and its evolution over many years.
Source: HOB1794
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