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Learn Python Coding

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Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills. Admin: @HusseinSheikho || @Hussein_Sheikho

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✨ When Should You Use .__repr__() vs .__str__() in Python? ✨ 📖 Find out when to choose Python's __repr__() vs __str__() in your classes so your objects show helpful information for debugging and user output. 🏷️ #intermediate #best-practices

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✨ token | AI Coding Glossary ✨ 📖 A minimal unit of text used by NLP systems and language models. 🏷️ #Python

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✨ context window | AI Coding Glossary ✨ 📖 The maximum span of tokens that a language model can consider at once. 🏷️ #Python

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Repost from Free Online Courses

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✨ context engineering | AI Coding Glossary ✨ 📖 The systematic design and optimization of the information given to a model at inference time so it can answer effectively. 🏷️ #Python

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✨ temperature | AI Coding Glossary ✨ 📖 A decoding parameter that rescales model logits before sampling. 🏷️ #Python

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Repost from Machine Learning

📌 Python 3.14 and the End of the GIL 🗂 Category: PROGRAMMING 🕒 Date: 2025-10-18 | ⏱️ Read time: 16 min read Exploring the opportunities and challenges of a GIL-free Python

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✨ hallucination | AI Coding Glossary ✨ 📖 When a generative model produces confident but false or unverifiable content and presents it as fact. 🏷️ #Python

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✨ system prompt | AI Coding Glossary ✨ 📖 A message that establishes a model’s role, goals, constraints, and style before user inputs. 🏷️ #Python

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✨ training | AI Coding Glossary ✨ 📖 The process of fitting a model’s parameters to data by minimizing a loss function. 🏷️ #Python

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✨ prompt engineering | AI Coding Glossary ✨ 📖 The practice of designing and refining prompts for generative models. 🏷️ #Python

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✨ generative model | AI Coding Glossary ✨ 📖 A model that learns a data distribution so it can generate new samples or assign probabilities to observations. 🏷️ #Python

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✨ neural network | AI Coding Glossary ✨ 📖 A computational model composed of layered, interconnected units that learn learn input-to-output mappings. 🏷️ #Python

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