Learn Computer Science
Master data structures, algorithms, networking, and system design with interactive visualizations. Free tutorials with code examples in Python, JavaScript, Java, and C++.
Learning Paths
Choose a topic to start learning. Interactive tutorials with real-world examples from Netflix, Google, Amazon, and Meta.
Data Structures
Master arrays, linked lists, trees, graphs, hash tables, and heaps with interactive visualizations. Learn O(1), O(n), O(log n) time complexity with real-world examples from Netflix video streaming, Google search indexing, and Facebook friend graphs.
Algorithms
Learn sorting algorithms (QuickSort, MergeSort, HeapSort), searching (Binary Search, DFS, BFS), and dynamic programming with step-by-step visualizations. Perfect for technical interview preparation at FAANG companies.
Networking Fundamentals
Understand TCP/IP protocol stack, DNS resolution, HTTP/HTTPS protocols, WebSockets, and network security. Learn how CDNs work, what happens when you type google.com, and how Netflix delivers 4K video globally.
Practice with Real Developer Tools
Apply what you learn with our 130+ free developer tools. No signup required, completely free.
Network & Security Tools (Perfect for learning networking fundamentals)
Cryptography & Hashing (Learn hash functions & encryption)
Code & Developer Tools (Practice algorithms & data structures)
Math & Logic Tools (Test algorithm implementations)
Why Learn Computer Science with Orbit2x?
Free, interactive tutorials designed for developers, students, and anyone preparing for technical interviews at Google, Amazon, Microsoft, Meta, and Apple (FAANG companies).
Interactive Visualizations
See data structures and algorithms come to life with dynamic animations. Watch how arrays resize, linked lists connect nodes, trees balance themselves, and sorting algorithms rearrange elements step-by-step.
Real-World Examples
Learn how Netflix streams 4K video using adaptive bitrate algorithms, how Google indexes billions of web pages with B-trees, how Facebook stores friend graphs, how Uber matches riders with drivers using graph algorithms, and how Amazon recommends products.
Multi-Language Code Examples
Every concept includes production-ready code in Python, JavaScript, Java, C++, Go, and Rust. Copy-paste examples that work immediately. Perfect for learning syntax differences and language-specific optimizations.
Time & Space Complexity Analysis
Master Big O notation with clear explanations. Understand why O(1) is faster than O(n), when to use O(log n) binary search vs O(n) linear search, and how to optimize O(nĀ²) bubble sort to O(n log n) merge sort.
Interview Preparation
Practice 100+ coding interview questions asked at Google, Amazon, Meta, Microsoft, and Apple. Learn the exact problem-solving patterns used by engineers who passed FAANG interviews.
Completely Free Forever
No premium tiers, no paywalls, no hidden costs. All tutorials, visualizations, and code examples are free. No signup required. Learn at your own pace without time limits or artificial restrictions.
Comprehensive Computer Science Learning Resources
Everything you need to master data structures, algorithms, system design, and networking. Perfect for FAANG interview preparation, university coursework, and self-paced learning.
Technical Interview Preparation
Master coding interviews at Google, Amazon, Microsoft, Meta (Facebook), Apple, Netflix, Uber, and other top tech companies. Learn the exact patterns and problem-solving techniques used by successful candidates.
- ā 100+ LeetCode-style problems with detailed solutions
- ā Big O complexity analysis for every solution
- ā Common interview patterns: Two Pointers, Sliding Window, DFS/BFS
- ā System design questions for senior engineer roles
Computer Science Fundamentals
Build a rock-solid foundation in core CS concepts. From basic data structures to advanced algorithms, learn everything taught in MIT, Stanford, and Berkeley computer science programs.
- ā Data Structures: Arrays, Linked Lists, Trees, Graphs, Hash Tables
- ā Algorithms: Sorting, Searching, Dynamic Programming, Greedy
- ā Networking: TCP/IP, DNS, HTTP/HTTPS, WebSockets, CDNs
- ā System Design: Scalability, Load Balancing, Caching, Databases
Hands-On Developer Tools
Apply your knowledge with 130+ professional developer tools. Test algorithms with our calculators, validate network concepts with DNS and SSL tools, and practice cryptography with hash generators.
Proven Learning Methodologies
Our tutorials use spaced repetition, active recall, and visual learning techniques proven by cognitive science research. Learn faster and retain information longer with interactive visualizations.
- ā Interactive visualizations show algorithm execution step-by-step
- ā Practice problems with increasing difficulty (Easy ā Hard)
- ā Code examples in Python, JavaScript, Java, C++, Go, Rust
- ā Real-world applications from Netflix, Google, Amazon, Uber
Frequently Asked Questions
What topics are covered in Orbit2x Learn?
We cover data structures (arrays, linked lists, trees, graphs, hash tables), algorithms (sorting, searching, dynamic programming), networking fundamentals (TCP/IP, DNS, HTTP), and system design patterns used by companies like Netflix, Google, and Amazon.
Is Orbit2x Learn really free?
Yes! All tutorials, visualizations, and code examples are completely free forever. No premium tiers, no paywalls, no hidden costs. We believe quality computer science education should be accessible to everyone.
Do I need to create an account?
No signup required! Access all learning materials instantly without creating an account. Your privacy is important to us - we don't track or store personal data.
What programming languages are supported?
All tutorials include code examples in Python, JavaScript, Java, C++, Go, and Rust. We explain language-specific optimizations and syntax differences for each implementation.
How is this different from LeetCode or HackerRank?
While LeetCode focuses on practice problems, Orbit2x Learn provides in-depth explanations, interactive visualizations, and real-world context. We explain WHY algorithms work, not just HOW to implement them. Plus, you get access to 130+ developer tools.
Can this help me prepare for FAANG interviews?
Absolutely! Our tutorials cover the exact data structures and algorithms tested in Google, Amazon, Microsoft, Meta, and Apple interviews. We include time/space complexity analysis, optimization techniques, and common interview patterns.
Start Learning Computer Science Today
Join thousands of developers mastering data structures, algorithms, and system design. Free forever. No signup required.
Browse Learning Paths