For the beginning, I’ve added a cheat sheet on Numpy functions and Python data I/O functions. The latter one is an extension to the Python Basics course, where we can only cover a few data I/O functions. The former currently only contains the Useful NumPy functions list from the Python Basics course. From time to time I will add other cheat sheets as well as additions to them.
3 minute read
As for TensorFlow, it takes only a few steps to enable a Mac with M1 chip (Apple silicon) for machine learning tasks in Python with PyTorch.
2 minute read
In just a few steps you can enable a Mac with M1 chip (Apple silicon) for machine learning tasks in Python with TensorFlow.
1 minute read
Simply said: not really. Miniconda is the company driven minimal conda installer, while miniforge is its community driven variant. In the end, you’ll get the...
7 minute read updated:
This curated list contains useful hacks and extensions to improve the overall coding performance with Visual Studio Code (VS Code).
10 minute read updated:
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.
5 minute read
Learn how to enable interactive, static and stand-alone window plots in Jupyter notebooks with the magic command %matplotlib.
3 minute read
Learn how to enable code folding in JupyterLab for both, Jupyter Notebooks and pure Python scripts.
3 minute read updated:
Learn how to install Python packages with a requirements.txt file and how to create one yourself.