Python for Data Science

How to setup your Anaconda environment and repository

• Make sure you have Anaconda distribution, if not then visit: Miniconda Installation to install it (Especially for Windows folks).
• For a faster installation on MacOS and Linux distributions, run command (on terminal): curl -L mini.conda.ml | bash (Courtesy: @mikb0b)
• Use git to clone this repository. Run command: git clone https://github.com/pratos/python4ds.git
• This would ask you your github credentials, enter them and the repository to should be downloaded instantly to your repo.
• For any queries regarding conda environment, visit: Managing Conda Environments
• You'll encounter greyatom.yml file.
• In the terminal run command: conda env create -f greyatom.yml
• Once done, run: source activate greyatom. Your virtual environment is setup successfully!

NOTE: If you aren't successful with using git then you can view the snippets directly by finding /notebooks folder and clicking on the notebook that you want. Github renders those notebooks automatically in a readable format. Copy and paste the code in your own notebook or python shell