Hands-on workshop to build, test, and deploy single-agent and multi-agent Hosted Agents to Microsoft Foundry from VS Code using Foundry Toolkit and Agent Framework (Python)
🐍 A collection of 20 beginner-friendly Python projects to learn programming through hands-on practice. From basic calculators to web scrapers - perfect for new developers!
Professional PyTorch CLI learning tool with 24 comprehensive lessons - From tensor basics to ExecutorTorch deployment with interactive examples
Complete Python curriculum: zero experience → full-stack mastery. 274 hands-on projects, 34 concept guides, 248 solution walkthroughs, AI-native tutoring, spaced repetition. Free & open source.
Educational Selenium RL project: Train AI agents to navigate websites using Q-Learning. Complete implementation with Episode 100 achievement (129.73 reward). Learn reinforcement learning through practical web automation! 🤖🎓
A hands-on repository documenting my Python learning journey — covering core concepts like variables, data types, strings, lists, dictionaries, loops, conditionals, and functions. Part of my step-by-step progress toward mastering programming fundamentals.
A structured Python roadmap of progressively challenging questions being solved over time, designed for hands-on learning and open for others to follow.
Hands-on cybersecurity laboratory documenting 25+ fundamental security projects, from network auditing to digital forensics.
A personal collection of AI projects for learning through hands-on, project-based practice – from basic games to advanced computer vision.
Hands-on Unsloth learning lab for fine-tuning, evaluating, exporting, and running local LLMs with LoRA, QLoRA, GGUF, Ollama, and llama.cpp.
A daily coding repository dedicated to mastering core Python, data structures, algorithms, object oriented programming, and technical interview patterns.
Repository documenting my Decode Labs Python Programming Internship (Batch 2026). Contains week-wise projects including a To-Do List app, Expense Tracker, Password Generator, and additional Python practice tasks, with a focus on fundamentals, problem-solving, and clean code.
A knowledge base for honing implementation skills through transcription of official documentation and applying them to practical data analysis (Man-hour analysis, Statistical methods).
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