Code for Blog at: Python Essentials for Data Engineers.
Open codespaces and wait for codespaces to setup. The process of opening codespaces and waiting for completion is shown below.
NOTE: Make sure to turn off codespaces, you only have limited free usage per month.
Clone the repo, cd into it and setup the virtual environment as shown below.
git clone https://github.com/josephmachado/python_essentials_for_data_engineers.git
cd python_essentials_for_data_engineers
python -m venv myenv
source myenv/bin/activate
pip install -r requirements.txt
# open python REPL with
python
In the Python REPL you can try out the commands and do the exercises.
To run pytest (under ./tests folder) you will need to run the python -m pytest ./tests command.
The questions are files with the prefix -questions.py, use these as starting points to practice python for data engineering. While the workbooks have solutions, there are multiple ways to do the same thing, and as long as you get the correct answer, you should be good.