Explore live open-source projects and AI models.

A targeted resource for mastering FastAPI, featuring practice problems, code examples, and interview-focused concepts for building high-performance APIs in Python. Covers asynchronous programming, endpoint creation, and data validation for technical interview success.

A targeted resource for mastering LangChain, featuring practice problems, code examples, and interview-focused concepts for building AI applications with Python. Covers chaining LLMs, memory management, and tool integration for technical interview success.

🐍 Python DSA Learning Journey | Searching, Sorting, Recursion, OOPs, Linked Lists, Stacks & More | Complete implementations with theory & practice problems for coding interviews!

A 50-day challenge repository featuring Python implementations of data structures and algorithms, with daily coding exercises and detailed explanations. Covers arrays, linked lists, trees, sorting, and more to enhance problem-solving skills for coding interviews.

A comprehensive collection of Python implementations for data structures and algorithms, featuring detailed explanations and coding examples. Covers arrays, linked lists, trees, sorting, and searching techniques for learning and interview preparation.

Awesome list and code for Interview Preparation based on HackerRank, LeetCode, etc. on Python and C++

A comprehensive resource for machine learning interview preparation, featuring coding challenges, algorithm explanations, and practical Python examples. Covers supervised and unsupervised learning, model evaluation, and data preprocessing for technical interviews.

A comprehensive resource for mastering deep learning, featuring practice problems, code examples, and interview-focused concepts in Python using TensorFlow and PyTorch. Covers neural networks, model optimization, and advanced architectures for technical interview success.

A comprehensive resource for Python interview preparation, featuring coding challenges, solutions, and tutorials on core concepts like data structures, algorithms, and libraries. Designed to help developers excel in technical interviews with practical exercises and detailed explanations.

A curated collection of resources, notes, and practice problems for mastering machine learning concepts and acing technical interviews. Covers algorithms, coding challenges, and theoretical questions with Python examples and detailed explanations.