New python project Cheatsheet#

Create a new Github repository#

TODO

Create a new python environment#

Warning

NO pity for people using the (base) environment.

conda create -n {env_name} python={python_version}

Setup your IDE#

Spyder:

conda activate {env_name}
pip install spyder

Jupyter:

conda activate {env_name}
pip install jupyter

VS code:

conda activate {env_name}
pip install ipykernel

Install your libraries#

Libraries can be installed whenever you want.

Warning

Make sure to activate the environment you want to work with:

conda activate {env_name}

before using any of the following commands

Using pip

pip install {library_name}

Using conda

conda install {library_name}

You can specify the library version using ==

pip install {library_name}=={library_version}
conda install {library_name}=={library_version}

Recommendend: create a requirements.txt file to keep track of all package your are installing, so you can easily share or recreate you environment:

pandas
seaborn
nilearn==1.2
statsmodels

You can then install all packages listed in the requirements.txt using:

pip install -r requirements.txt

Start coding#

Warning

Make sure to activate the environment you want to work with:

conda activate {env_name}

before using any of the following commands

Spyder:

pip spyder

Jupyter:

pip jupyter notebook

or

pip jupyter lab

VS code:

Open a new VS code folder: File -> Open Folder: - create a new .py file, on the bottom right corner, next to python choose your {env_name} environment. - create a new .ipynb file, on the top right corner, click select kernel and select your {env_name} environment

VS code save your kernel choices so you don’t have to do it every time you open your project.