Python et IA : la méthode pour créer des scripts fiables (#084)

Python is probably one of the best tools for AI automation. Files, data, APIs, reports, workflows: it can do almost anything. But this power becomes dangerous if you ask the AI ​​to directly generate a huge, incomprehensible, magic script. In this video, we see how to work with Python and AI without losing control. The goal isn't to automate everything at once, but to define a clear contract for each script: what goes in, what is transformed, what is output, how we test, and how we progressively improve. This video is part of the playlist:    • Terminal et ligne de commande (CLI) à l’èr...   You will learn: why Python is a powerful tool for AI automation why the magic script generated in one go is a trap how to avoid the “digital Frankenstein monster” what a script contract is why you need to clarify the input, transformation, and output how to request a Python script from AI with specific constraints why you should test on a small file before generalizing how to verify results without reading all the code line by line how to apply the method to CSV, JSON, RSS, API, or HTML files why reliable automation relies on rigor more than script size Subscribe to Catalyseur Dev to learn Python, AI, automation, scripting, and modern workflows with a clear method. progressive and professional. In the comments, tell me: what repetitive task would you like to automate with Python and AI, without losing control of the outcome?