Is it necessary to learn Python for Data Science?

By ridhigrg |Email | Jan 29, 2020 | 1689 Views

It is no doubt that python is one of the best-suited programming languages when it comes to a data scientist. It has been spoken of time and again that Python is the most common programming language in the case of computing. But oftentimes, the question of why one should study this language comes into view.

Here is why, you should learn Python if you want to venture into the field of data science - Because Python is a flexible language, it is free and powerful along with being an open-source language. The language divides the development time in half by its simplistic as well as makes it easy to read the syntax. With the help of python, one can perform manipulation of the data, analysis of the data as well as carry out data visualization. Python brings to one library that is essential for the applications of machine learning as well as other scientific processing of data.

The best part about learning Python is that it is a high-level language that is quite easy to learn and is procedure-oriented along with being object-oriented.

What are the basics of Python?
For delving deeper into the programming part, one needs to have a basic understanding of some topics so that they can reach mastery over programming. Some of the topics required for this are inclusive of - 

Variables: This term 'variables' refer to the memory locations that are reserved just for the purpose of storing values. In the case of Python, one does not need to announce the variables even before making use of them or even announcing their type.

Operators: With the help of operators, one can push around the values of the operands. Python comprises of a list of operators, they are inclusive of - Logical, Arithmetic, Identity, Membership, Bitwise, Assignment, as well as Comparison.

Loops: For the purpose of going over the small parts of coding again loops are used. There are about three kinds of loops, these are for loops, while loops and lastly nested loops.

Types of Data: Python backs up numerous kinds of data types, these describe the operations that can be possible onto the variables as well as the storage method. The different types of data types are inclusive of sets, numbers, dictionary, strings as well as lists.

Functions: The purpose of functions is to break down the code into blocks that are useful. Thus, allowing one to authorize the code, as well as transform into a form that is readable so that it can be reused from time to time. Thus, a lot of time is saved in this process.

Conditional Statements: Conditional statements are the type of statements that assist in the carrying out of a set of standards. All of these sets of standards are based upon a certain condition. There are about three conditional statements, these are inclusive of Else, If and Elif.

Source: HOB