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Best Practices for Writing Reproducible and Maintainable Jupyter Notebooks | by Daniel Etzold | Jul, 2022

Simple steps to make your Jupyter Notebooks greatPhoto by Glenn Carstens-Peters on UnsplashWriting Jupyter Notebooks that are reproducible, maintainable, and easy to understand is not as easy as you might think. In fact, it’s quite the opposite. It’s actually really hard. In this article, I’m going to explain why it is so hard and give you some recommendations for best practices that helped me to achieve better reproducibility and maintainability.First, let me give you a short introduction what Jupiter Notebooks are.…

Training a Neural Network With a Few, Clean Lines of Code | by Daniel Etzold | Jun, 2022

Reusable, maintainable and easy to understand machine learning codePhoto by Milad Fakurian on Unsplash — edited by authorLess code usually results in readable code that is easy to understand and easy to maintain. The Python programming language, that has become very popular in the machine learning community, allows you to achieve great results with less code compared to other programming languages.PyTorch is a popular deep learning framework for Python that has a clean API and allows you to write code that really feels…