Learn MCP with practical projects for beginner to advanced use, connecting AI models, tools, and external systems
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Updated
May 1, 2026 - Python
Learn MCP with practical projects for beginner to advanced use, connecting AI models, tools, and external systems
Learn Python fast with a crash course built for 2026, covering core syntax, coding practice, and real-world programming skills
Run local LLMs with zero setup: auto-detect hardware, install the right model, and chat in 3 lines of Python
Build AI engineering skills from scratch with 260+ lessons, 20 phases, and hands-on tools for practical learning
🔍 Enhance your scientific images with automatic ROI detection and customizable zoom tools for clear visual analysis.
🚀 Implement a powerful vLLM inference engine with advanced attention mechanisms for efficient benchmarks and streamlined performance evaluation.
📥 Extract and organize AV metadata from multiple sites, streamlining your media library for software like Emby, Jellyfin, and Kodi.
🌟 Create dynamic agent-based simulations with Mini-Massive, a lightweight framework for crafting swarms, crowds, and more, inspired by Weta Digital’s Massive.
📊 Master Matplotlib to create stunning visualizations in Python, from line plots to pie charts, and enhance your data presentation skills.
Boot.dev Back-end Developer Path course "Build an AI Agent in Python"
An open source Django app for creating email-based learning platforms with IMAP integration and React frontend components.
This is a short course intended for those who are interested in large-scale water optimization modeling with CALVIN
A Python implementation of the classic Asteroids game using Pygame.
Лабораторные работы по курсам для AppSec, Risk Analysis, Securty Champion: Toolchain, Orchestration, CI/CD, UML, etc.
Learn it. Build it. Ship it for others.
🐍 This is the most complete course in Python, completely practical and all the lessons are explained with examples, so that they can be easily understood. 🍫
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