Archive: https://archive.today/8dLXs
From the post:
>Data scientists get things done in notebooks, but production-quality work needs more than ad-hoc scripts. Just Enough Python for Data Scientists gives you the essential Python and software engineering habits to level up your analyses without drowning in theory. In a few focused hours, you’ll tighten up your core Python, write clean and reusable functions, organize code into importable packages, track work with git and GitHub, debug confidently, and make your results reproducible with pinned environments and Docker. You’ll also see how modern agentic AI tools can accelerate refactoring, documentation, and test creation. The outcome is simple: you keep your notebook speed while gaining the reliability, collaboration, and professionalism your projects deserve.
Archive: https://archive.today/8dLXs
From the post:
>>Data scientists get things done in notebooks, but production-quality work needs more than ad-hoc scripts. Just Enough Python for Data Scientists gives you the essential Python and software engineering habits to level up your analyses without drowning in theory. In a few focused hours, you’ll tighten up your core Python, write clean and reusable functions, organize code into importable packages, track work with git and GitHub, debug confidently, and make your results reproducible with pinned environments and Docker. You’ll also see how modern agentic AI tools can accelerate refactoring, documentation, and test creation. The outcome is simple: you keep your notebook speed while gaining the reliability, collaboration, and professionalism your projects deserve.
(post is archived)