Pre-requisites:

Anaconda - The distribution includes data-science packages (Python 3) suitable for Windows, Linux, and macOS.

Download Links:

Windows: 
64-Bit https://repo.anaconda.com/archive/Anaconda3-2020.11-Windows-x86_64.exe
32-Bit https://repo.anaconda.com/archive/Anaconda3-2020.11-Windows-x86.exe
		 
MacOS: 	 
64-Bit https://repo.anaconda.com/archive/Anaconda3-2020.11-MacOSX-x86_64.pkg
CLI    https://repo.anaconda.com/archive/Anaconda3-2020.11-MacOSX-x86_64.sh
		 
Linux:   
64-Bit https://repo.anaconda.com/archive/Anaconda3-2020.11-Linux-x86_64.sh
Others https://repo.anaconda.com/archive/Anaconda3-2020.11-Linux-ppc64le.sh
		 

After Anaconda installation:
1. Extract the files to anaconda root directory.
2. Open "Anaconda Prompt" from Start Menu or Dock.


For running the code:
1. Open "Anaconda Prompt".
2. Type "jupyter notebook" and press enter to open notebook server.
3. Press "Upload" button on top right and select "code.ipynb" from extracted files.
4. Click on newly added file by name "code.ipynb", that will open the notebook where you can execute the code.