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Articles about computational science and data science, neuroscience, and open source solutions. Personal stories are filed under Weekend Stories. Browse all topics here. All posts are CC BY-NC-SA licensed unless otherwise stated. Feel free to share, remix, and adapt the content as long as you give appropriate credit and distribute your contributions under the same license.
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Hacks and extensions to improve your coding with Visual Studio Code
This curated list contains useful hacks and extensions to improve the overall coding performance with Visual Studio Code (VS Code).
Setting up Visual Studio Code for Python
In just a few steps you can turn Visual Studio Code (VS Code) into a powerful Python editor for both pure Python code and Jupyter Notebooks.
Laying off thousands of employees: Not okay! How to delete a Twitter account
Putting thousands of people on the street is anything else than cool. Here is how to fix it.
Enable interactive plots and other plot modes in Jupyter notebooks
Learn how to enable interactive, static and stand-alone window plots in Jupyter notebooks with the magic command
%matplotlib.
Enable code folding in JupyterLab
Learn how to enable code folding in JupyterLab for both, Jupyter Notebooks and pure Python scripts.
How to create and apply a requirements.txt file in Python
Learn how to install Python packages with a requirements.txt file and how to create one yourself.
Using pip to install Python packages
pip is another package installer for Python. Learn how to use it for installing and managing Python packages in your projects.
Virtual environments with venv
In addition to conda’s
create command, Python’s built-in venv command offers another way for creating virtual environments.
How to install and run Python code from GitHub
Learn how to install code from GitHub, that is, e.g., not (yet) available via conda or pip.
A minimal Python installation with miniconda
Learn how to install miniconda to have a quick and minimal Python installation on any operating system. Also learn how to use conda to create and manage virtual environments, install packages, run Python scripts and run Jupyter Notebooks and JupyterLab.