Issue Overview
Downloading the requirements (pandas, numpy, etc.) is a hassle and a bit unclear.
It would be easier if all the library requirements were in a single file, i.e. a requirements.txt file.
So that you can run this command:
pip install -r requirements.txt
Possible Solution
I attached requirements.txt that you can use.
The contents are:
pandas
matplotlib
seaborn
scikit-learn
numpy
xgboost
notebook
I recommend doing these steps:
- Navigate to your copy of the repo.
- Download the requirements.txt file and place it in your copy of the repo or create your own doing this:
echo "pandas
matplotlib
seaborn
scikit-learn
numpy
xgboost
notebook" > requirements.txt
- Create a python virtual environment
python3 -m venv ve
- Activate the python virtual environment
source ./ve/bin/activate
- pip install requirements.txt
pip install -r requirements.txt
- Test by running any notebook
- Done! 😄
You will also need to update the README.md to include these instructions, otherwise, I could do it if given permissions.
Issue Overview
Downloading the requirements (pandas, numpy, etc.) is a hassle and a bit unclear.
It would be easier if all the library requirements were in a single file, i.e. a requirements.txt file.
So that you can run this command:
pip install -r requirements.txtPossible Solution
I attached requirements.txt that you can use.
The contents are:
I recommend doing these steps:
python3 -m venv vesource ./ve/bin/activatepip install -r requirements.txtYou will also need to update the README.md to include these instructions, otherwise, I could do it if given permissions.