- Fullstack library application.
- Online book reader.
- Session auth handling.
- Coming soon...
It is strongly recommended for Python projects to use a virtual environment, to prevent package clutter and versions conflicts.
Anaconda
For more information, visit the official Conda documentation website.
$ conda create --name <virtual-environment-name>
$ conda activate <virtual-environment-name>
Venv
$ sudo apt-get install python3-venv
$ python3 -m venv <virtual-environment-name>
$ source <virtual-environment-name>/bin/activate
Make sure you choose the right Python interpreter in your IDE or text editor after creating your virtual environment.
๐ก If you are using VSCode, you can do this using the shortcut Ctrl
+ Shift
+ P
. Then choose the option "Python: Select Interpreter," and select your interpreter (The one with your virtual environment name at the end).
Make sure to cd
into the project's root.
$ pip install requirements.txt
$ python manage.py runserver --settings=config.settings.settings