Apple Silicon Macs, including those with M1, M2, M3 or M4 chips, have introduced some compatibility issues with certain libraries and tools. One common issue is the libmagic library, which is essential for the python-magic package used to determine file types. If […]
Jupyter Notebooks have become an indispensable tool for data scientists, researchers, and developers, offering an interactive environment for code execution, data visualization, and documentation. However, users often encounter a frustrating issue when working with Jupyter Notebooks in Visual Studio Code (VS Code): […]
In machine learning tasks involving image data, it’s crucial to split your dataset into separate test, training, and validation sets. This splitting ensures that your model is trained on one set of data, evaluated on a different set (validation), and finally tested […]
In Python development, virtual environments are isolated Python environments that allow you to manage dependencies and packages separately for each project. This is particularly useful when working with multiple projects that have different package requirements or when you need to test your […]