This sections is based on the following youtube tutorial: https://www.youtube.com/watch?v=brJR5Qjp4SM
and https://bobbyhadz.com/blog/source-is-not-recognized-as-internal-or-external-command
To create virtual environment, in the project terminal, use python -m venv venv, where 'venv' is the name of the virtual environment. A venv folder will appear in the project directory.
This creates the virtual environment. We now need to activate it. To do so, use:
- if you use windows use the following:
venv\Scripts\activate.bat
Aside note: remember that 'chdir' command prints the path in the terminal
To deactivate it, type: deactivate
Aside note: To deactivate the (base) environment, type conda deactivate
Note: To check for interpreter, use python
Now it's time to install all your required libraries, which you can do as you require them. Also, you can check (here)[https://towardsdatascience.com/how-to-use-bash-to-automate-the-boring-stuff-for-data-science-d447cd23fffe] if you want to install them in one go
At the end of the process, use this in the terminal:
pip freeze --local > requirements.txt
You can always create another virtual environment, you can always copy all the requirements from the requirements.txt file:
pip install -r requirements.txt
python -m pip install --upgrade pip
If you have created a new project from zero, install libraries adding the line of code below:
pip install 'all libraries here
- Example:
pip install pandas streamlit
streamlit run app.py