By Tyler Biggs

1. Install Anaconda.

2. Create a new Python 3.7 environment.

   conda create -n py37 python=3.7
   # conda create -n [environment_name] python=[version]

   Read more about creating environments.

3. Install Jupyter Lab.

Creating a New IPython Kernel:

See the documentation for descriptions of the commands below and more.

# Activate the environment you wish to create a kernel in.
source activate py37
# Install ipykernel.
conda install ipykernel
# Create the kernel.
python -m ipykernel install --user --name py37 --display-name "Python 3.7"

Launching a server:

jupyter lab

Reloading imports:

%load_ext autoreload  # Load the extension.
%autoreload 2         # Reload all modules (except those excluded by %aimport)
                      # every time before executing the Python code typed.

Enabling imports from parent directories:

import sys, os
sys.path.insert(0, os.path.abspath('..'))

• Python Built in Functions

  dir(__builtin__)  # Show the namespace of Python's built-in functions.

• Python Standard Library for ubiquitous programming needs.

• Built in "Magics"

Notebook Examples:

• A gallery of interesting Jupyter Notebooks
• Peter Norvig
• Kaggle Machine Learning Competitions