- Vojtěch Kaše
- Tomáš Glomb
CC-BY-SA 4.0, see attached License.md
- download or clone the repository * go to Terminal and move to that directory
- run the following bash commands (modify the
$VENVNAMEvariable value as you wish):
# check which python will be by default used as a source for your virtualenv
# (otherwise specify manually when defining the INTERPRETER variable)
which python3
# check that your pip is python 3 pip:
pip --version
# install virtualenv package
pip install virtualenv
VENVNAME=venv # choose approapriate name for your virtual environment
INTERPRETER=which python3 # or any other interpreter, e.g. $HOME/.local/lib/python-3.9.7/bin/python3
virtualenv $VENVNAME --python=$INTERPRETER
# install anything in requirements.txt:
$VENVNAME/bin/python -m pip install -r requirements.txt
# create jupyter kernel based on the environment:
$VENVNAME/bin/python -m ipykernel install --user --name=$VENVNAME
# create folder for large files:
mkdir data/large_files
# check that it is included in your `.gitignore` file
echo "/$VENVNAME/
/data/large_files/" > .gitignore
- subsequently, in all jupyter notebooks, always check that you are connected to the correct kernel
- (alternatively, if you do not wish to use virtual environment, make sure that you have installed all required python packages within the
requirements.txtfile:pip install -r requiremnts.txt)
The scripts are in the scripts subfolder and their numbers and titles should be self-explanatory. Usually, they have the form of Jupyter notebooks.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent