Jyoti Nigania

Hi,i am writing blogs for our platform House of Bots on Artificial Intelligence, Machine Learning, Chatbots, Automation etc after completing my MBA degree. ...

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Hi,i am writing blogs for our platform House of Bots on Artificial Intelligence, Machine Learning, Chatbots, Automation etc after completing my MBA degree.

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Listed Down The Most Popular Coding Languages And Tips To Become A Perfect Coder

By Jyoti Nigania |Email | Feb 13, 2019 | 4452 Views

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:

Here are the five most in-demand coding languages:
1. Python
2. Java
3. JavaScript
4. C#
5. PHP
Top-ranked Python is a general-purpose, open-source programming language used by Reddit, Instagram, and Venmo. It first appeared in 1991 and has become extremely popular among data scientists. 

Next on the ranking was Java, also a versatile language. Java was developed by Sun Microsystems (a Silicon Valley company later acquired by Oracle) and was first released in 1995.
                                             

JavaScript ranked third. Used mainly to power the way websites look and function, the language is used by 90% of web pages, Coding Dojo said. In New York, Bloomberg was looking for more JavaScript coders than any other employer. 

C#, a language developed and used heavily by Microsoft.

PHP rounded out the top five. San Jose was the only city where C# didn't land in the five most in-demand languages, potentially because Microsoft rival Apple has such a strong presence there.

The Most In-Demand Coding Languages in the U.S. Media Markets:

Continuously writing code for many, many years. This is the main prerequisite everything else is complimentary. Following are tips to become a confident coder:

1. Be a Problem Solver:
Complex applications are comprised of multiple layers. Being able to effectively build all of them within an application and connect them following the strong cohesion/loose coupling techniques are taught with time.
Beginner engineers often master one or two layers and struggle with everything else. Top engineers have been around for a while and can easily tackle different challenges across the product.
This covers other generic areas of coding work, including scalability, stability, performance, reusability, following the coding standards, maintenance and debugging, among others.

2. Staying Up to Date:
While new frameworks pop up on a weekly basis, you don't have to master each and every one of them. It's virtually impossible and rarely productive.
But you certainly need to assess emerging players and gauge their application within a product you're building. If needed, you should be comfortable with integrating a new library or framework within a week or two, understanding the underlying principles and the expected perks of leveraging an existing solution.

3. Conferences and Meetings:
Great engineers often attend tech conferences and meetups, using them as a networking opportunity and reviewing new tech trends. Chatting with other engineers or participating in hackathons may help you assert your own skill set and discover certain gaps worth filling in.
                                             

4. Peer Reviews and Feedback:
Working as an engineer for an organization usually means there are other developers working on your product. Collaborating, participating in code reviews, deployments, and maintenance activities means you're about to analyze the code of your peers, potentially discover more optimal solutions or learn new best practices worth adopting.

5. Open Source Work:
This is fairly optional, but open source contributions tend to get plenty of eyeballs from hundreds or even thousands of engineers in the field. It's a great way to study new coding practices, team up with other geeks, and understand the business implications of open source products. It's likely that you'll organically take it a step further, dabbling into UX or accessibility problems, hosting and deployment considerations, UI challenges or other scenarios where the product's technical viability is a fraction of the success of an open source product.

Source: HOB