#Data Structures

Discover a hub for Python education with accessible guides on data structures, machine learning, and AI labs. The resource includes foundational insights on Python, web scraping, and deep learning, supplemented by industry perspectives. Consistently updated with new articles, connect with a tech community on WeChat and find video content on Bilibili for visual guidance. Navigate through structured learning paths for algorithms and AI projects.

This guide expands a simple study list into an extensive multi-month preparation plan tailored for aspiring software engineers aiming for technical interviews at major tech firms including Amazon, Google, and Facebook. Focusing on essential computer science concepts, it eliminates unnecessary topics, honing in on practical coding, data structures, algorithms, and computational theory. The plan incorporates resources like books, video courses, and practical coding exercises in languages such as C and Python. It caters to individuals shifting from different fields or enhancing current skills, facilitating entry into software development careers.

This project compiles video lectures from prestigious institutions such as MIT, Stanford, and UC Berkeley, offering resources across key computer science subjects like data structures, algorithms, and artificial intelligence. Catering to college-level learners and professionals, this resource supports independent study and skill advancement. It also welcomes contributions to expand its course catalog, while maintaining content quality by excluding spam and irrelevant links.

Explore this open-source project for an interactive introduction to data structures and algorithms. With animated illustrations and support for 12 programming languages, it offers an accessible learning path with one-click code execution. Encouraging community interaction, it has received notable endorsements for its practical approach in teaching foundational algorithm knowledge.

Explore a comprehensive resource collection for coding interviews focusing on data structures like hash tables and trees, and algorithms including dynamic programming and binary search. This guide includes essential patterns, popular problem sets like Blind 75 and Neetcode 150, along with recommended books, courses, and mock interviews. Utilize these resources to refine your technical skills and improve interview performance.