This repository is optimized for Visual Studio Code which is a great code editor for many languages like Python and Javascript. The introduction videos explain how to work with VS Code. The Python tutorial provides an introduction about common topics like code editing, linting, debugging and testing in Python. There is also a Data Science section showing how to work with Jupyter Notebooks and common Machine Learning libraries.
The .vscode directory contains configurations for useful extensions like GitLens and Python. When opening the repository, VS Code will open a prompt to install the recommended extensions.
Open the integrated terminal and run the setup script for your OS. This will install a Python virtual environment with all packages specified in requirements.txt.
If everything works you should be able to activate the Python environment by entering source .venv/bin/activate in the terminal. The command python src/hello.py will print the text "hello world" to your terminal.
- run the setup script
./setup.shorsh setup.sh
- run the setup script
.\setup.ps1
- Mac/Linux: activate python environment:
source .venv/bin/activate - Windows: activate python environment:
.\.venv\Scripts\Activate.ps1 - run python script:
python <srcfilename.py>, e.g.python train.py - install new dependency:
pip install scikit-learn - save current installed dependencies back to requirements.txt:
pip freeze > requirements.txt
If something with your python version is not working, you might need to change the first line in setup.sh or setup.ps1
from
python3 -m venv .venv
to
python -m venv .venv