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The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
Curso para aprender el lenguaje de programación Python desde cero y para principiantes. 100 clases, 44 horas en vídeo, código, proyectos y grupo de chat. Fundamentos, frontend, backend, testing, IA...
Practical Python Programming (course by @dabeaz)
- python
- pythontutorial
- tutorial
Open Machine Learning Course
Curso para aprender los fundamentos del lenguaje SQL y bases de datos relacionales desde cero y para principiantes.
- basesdedatos
- database
- mysql
- postgresql
The repository host gives no description.
A collection of machine learning examples and tutorials.
A multi-module course teaching everything you need to know about using GitHub Copilot as an AI Peer Programming resource.
:speech_balloon: Machine Learning Course with Python:
- python
- machine-learning
- machine-learning-algorithms
- artificial-intelligence
learn LLM inference system on Apple Silicon for systems engineers: build a tiny vLLM + Qwen
- course
- large-language-model
- llm
- python
The repository host gives no description.
Translated"Large Language Models" (《大语言模型》), authors: Zhao Xin, Li Junyi, Zhou Kun, Tang Tianyi, Wen Jirong
- artificial-intelligence
- deep-learning
- deep-neural-networks
- deep-reinforcement-learning
🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴
- aws
- bytewax
- comet-ml
- generative-ai
System for AI Education Resource.
Open-source Python challenge courses — your AI coding agent teaches, verify.py decides when you're done.
- python
- learning-python
- python-course
- claude-code
The repository host gives no description.
Synapsa Commons: free, hands-on AI courses that run anywhere (Colab, Kaggle, Binder, Codespaces, Jupyter). EU AI Act conformity evidence, model validation, predictive maintenance, document extraction, retrieval and RAG, AI agents and MCP, a simulated humanoid. Every lesson autograded. From the team building Synapsa.
Tutorial material on the scientific Python ecosystem
A no-fluff and highly practical masterclass that reignites engineering curiosity and helps SDE-2, SDE-3, and above become great at designing, implementing, and shipping scalable, fault-tolerant, and highly available systems at the workplace.
- system-design-project
- system-design
- system-design-interview
- system-design-questions
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
- deep-learning
- pytorch
- convolutional-neural-networks
- recurrent-neural-networks
Python 中文数据结构和算法教程
- python3
- algorithm
- datastructures
A small course on exploiting and defending neural networks
PPO x Family DRL Tutorial Course（决策智能入门级公开课：8节课帮你盘清算法理论，理顺代码逻辑，玩转决策AI应用实践 ）
- course
- decision-intelligence
- python
- reinforcement-learning