An introduction to Refactoring in Python with Jupyter notebook

Level: Beginner

What you'll learn:

• why refactoring is needed
• how to refactor your Python code in Jupyter notebook
• how to write cleaner and more efficient Python code

Prerequisites

• your GitHub account
• git
• miniconda or anaconda

Usage

• Fork this repository
• Clone the forked repository

For macOS and Linux users

• Navigate to the cloned repository folder via terminal and run Makefile

cd Jupyter-refactoring-beginner-jul2020 && make all

• If you finished with a workshop and want to clean everything, navigate to the main folder and run Makefile

cd Jupyter-refactoring-beginner-jul2020 && make clean

For Windows users

• Open Anaconda Prompt, navigate to the cloned repository folder and run the following commands line by line

cd Jupyter-refactoring-beginner-jul2020
conda env create -f environment.yml
conda activate jupyter-refactoring
python -s -m ipykernel install --user --name=jupyter-refactoring
jupyter lab

• If you finished with a workshop and want to clean everything, run the following commands line by line

jupyter kernelspec uninstall jupyter-refactoring
conda deactivate
conda env remove --name jupyter-refactoring

Video record

Refactoring in Python with Jupyter Notebook

Credits

This workshop was set up by @pyladiesams and @una-gal