Free Shipping

Secure Payment

easy returns

24/7 support

  • Home
  • Blog
  • Getting Started With Python Using Anaconda

Getting Started With Python Using Anaconda

 July 8  | 0 Comments

What is Anaconda for Python?

Anaconda is a an open source distribution of the Python and R programming languages and it is used in data science, machine learning, deep learning-related applications  aiming at simplifying package management and deployment.Anaconda Distribution is used by over 7 million users, and it includes more than 300 data science packages suitable for Windows, Linux, and MacOS.

In this blog, we will be discussing how to install anaconda and write the first python program.

Does Anaconda come with Python?

Anaconda is one of several Python distributions. Python on it’s own is not going to be useful unless an IDE is installed. This is where Anaconda comes into picture.

Python distributions provide the Python interpreter, together with a list of Python editors,tools and packages.

How to Install Anaconda 5.x in Windows


Here’s a video link to the steps involved – Watch Here

Let’s get started with Anaconda 5.x installation

Step 1:  Visit Anaconda website to download anaconda for windows. Click on Download

Anaconda Python Download for windows

Step 4: Click on “Just Me (recommended)” and click on Next.

Step 5: Retain default location and click next.

Step 6: Click on “Add anaconda to my Path environment variable”.
NOTE: This step is important because jupyter notebook cannot be accessed without this command prompt.

Step 7: Click on the Install Button and wait till the installation is complete.

NOTE: Now, the installation of Anaconda process is complete. If you want to access Jupyter notebook, continue the below steps.
Step 9: Open command prompt and type “jupyter notebook”.

Step 10: Once the command is given, the jupyter notebook will be opened by the browser automatically.

We hope this blog helped you installing anaconda and running your first python program in windows. Keep visiting our websites for more posts on Data Science and other technologies.