Debugging and testing are core to Python development, ensuring code runs correctly and meets quality standards. Debugging pinpoints and fixes issues, while testing frameworks automate verification to ...
From the lab bench to the cloud, microbiology is integrating Python-based workflows that combine dataset preparation, visualization, and reproducible methods. Using platforms like Jupyter, VS Code, ...
A hands-on workshop where you write every piece of a GPT training pipeline yourself, understanding what each component does and why. Andrej Karpathy's nanoGPT was my first real exposure to LLMs and ...