📕 Tutorials 📕
Welcome to the Python-specific tutorials section! Here, you'll find a collection of helpful guides, tips, and tricks designed to strengthen your understanding of algorithms and problem-solving techniques. Each tutorial focuses on key topics such as sorting, greedy algorithms, dynamic programming, and more. Additionally, we've included mini-challenges and practice problems to help reinforce your learning. You'll also find a dedicated section on problem analysis, where we break down strategies for approaching challenges effectively.
Basics
Difficulties
Introduction to Python and competitive programming, setup, essential tools and skills, and resources for beginners
Fundamental Problem-Solving Techniques
Basic strategies for solving problems, including brute force, simulation, and recognizing patterns
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Data Structures - Basic
Essential data structures like arrays, 2D/3D lists, and sets for storing and manipulating data
Other Types of Problems
General problem-solving approaches including unique or complex problem types
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Greedy/Optimization Problems
Solving minimum/maximum problems using various techniques
Precomputation Techniques and Optimizations
Data Structures - Advanced
Using efficient range/interval techniques to speed up quadratic time solutions to linear time
More complex data structures like stacks, queues, priority queues, and sorted lists
Graphs - Basic
Introduction to graph structures and basic traversal techniques
Miscellaneous
Approaches for analyzing problems/recognizing patterns, debugging strategies, and a handy guide