Environment Setups

  How to setup Python Environment?



In this article, we will see how to set up Python Environment But Before moving to our tutorial, let’s understand the journal terms like, what is Python? , what is Jupiter? what is Anaconda? etc. so scroll down to understand what these journal terms state:-


let's start with our first term what is Python? well, it is an interpreted, object-oriented, high-level programming language with dynamic semantics. It's high-level built-in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse, so basically mean to say that it is an easy language for anyone who is willing to learn this language (don't afraid of the image attached to this post it's just for fun purpose).

What is Jupiter?

It is a way of working with Python inside a virtual “notebook” with format pynb and is quite popular in Data Science. It gives you a way to combine code, images, plots, notes, etc.


What is Anaconda?

well, it is a free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. The distribution includes data-science packages suitable for Windows, Linux, and macOS , and it is easy to use and learn as well. 

I think this is enough so let's start our set-up for python environment step by step you just follow the steps:

1. first go to the link https://www.anaconda.com and download the individual edition setup.

2. Download the os version (32bit / 64bit )  you have

3.For installation process and other details about anaconda go to https://docs.anaconda.com/anaconda/install/windows/

So by just simple steps we successfully installed because we will work on Jupiter notebook that's why we required to download bcoz that is included in anaconda setup. 




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