Setup Python Environment

In this blog, I will show you how to setup your Python environment. However, let me first briefly talk about Python

python image

Why Python?

  • Python is easy to learn
  • Codes are shorter and English like
  • Most frequently used language for data science
  • Extensible
  • Open source and free
  • Public support and forums
  • Object oriented
  • Suitable for machine learning and deep learning

Why Notebook Environment?

Here is an article that talks about that.

How to Setup the Environment?

Step 1– Download Anaconda Navigator based on your operating system (OS). Download Python 3.x version package.

Step 2– Start Anaconda Navigator. This may take sometime depending on your OS

anaconda_navigatorStep 3– Start Jupyter Notebook by clicking on launch button. This will open a new tab in your preferred browser.

JupyterStep 4– Start a new notebook by clicking on new button. Select Python 3 for the kernel


Step 5-  You should see something as shown below. You are ready to write Python codes in Jupyter notebook environment now.


Step 6- Check the present working directory by typing the below command-



One thought on “Setup Python Environment

  1. Pingback: Learn Python Step by Step | RP's Blog on data science

Leave a Reply

Please log in using one of these methods to post your comment: Logo

You are commenting using your account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s