gibsjose/cpp-cheat-sheet

Features

• Cheat Sheets - Serves as a concise reference guide covering C++ syntax, standards, and core language features.
• Language Syntax References - Serves as a condensed technical reference and cheat sheet for C++ syntax and features.
• Algorithm Study Guides - Provides specialized study guides for mastering data structures and algorithmic analysis for interview preparation.
• Complexity Analysis - Provides theoretical frameworks for analyzing the computational complexity of algorithms.
• Data Structures Reference - Offers a comprehensive reference for common C++ container implementations and data organization patterns.
• Search Algorithms - Implements common search algorithms including binary, depth-first, and breadth-first search.
• Container Adaptor Implementations - Provides a reference for using C++ container adaptors like stacks and queues.
• Tree Data Structures - Provides a study guide for implementing and using various binary and balanced tree structures.
• Generics & Templates - Covers the implementation and use of templates for generic programming.
• C++ Implementations - Implements fundamental sorting, searching, and graph algorithms using modern C++ standards.
• Standard Library Associative Containers - References the use of STL maps and sets for efficient data retrieval.
• C++ Programming Mastery - Provides a technical overview of advanced C++ topics including memory management, polymorphism, and generic programming.
• STL Container Abstractions - Offers a comprehensive reference for standard library container usage and data layout.
• STL Sequence Containers - Reference for using STL vectors, lists, and dequeues for linear data storage.
• Conditional Compilation - Details the use of preprocessor macros for conditional compilation of code blocks.
• Competitive Programming Training - Provides study materials for solving algorithmic problems under competitive programming constraints.
• Encapsulation Techniques - Covers C++ class definitions and the use of access modifiers to implement data encapsulation.
• Technical Interview Preparation - Offers guides on data structures and algorithmic patterns for technical coding interviews.
• Dynamic Memory Allocation - Covers the principles and implementation of dynamic memory allocation on the heap.
• Manual Heap Allocation - Covers the use of heap-based dynamic memory allocation and the requirement for manual deallocation.
• Class Inheritance - Describes C++ class inheritance mechanisms for creating specialized types and overriding base behaviors.
• Header and Source Separation - Provides a reference on organizing C++ code via header and source file separation.
• Language Namespaces - Provides guidance on using namespaces to organize types and functions and prevent naming collisions.
• Object Lifecycle Managers - Details the management of object creation and destruction through constructors, destructors, and initializer lists.
• Object-Oriented Programming - Details the application of inheritance, polymorphism, and encapsulation in C++.
• Operator Overloading - Details the ability to redefine standard operator behavior for user-defined C++ classes.
• Move Semantics - Explains C++ move and copy semantics via constructors and assignment operators for efficient resource transfer.
• Runtime Polymorphism - Explains runtime polymorphism through the use of virtual methods and vtables.
• RAII Resource Management - Provides a guide to the RAII pattern for automatic resource lifecycle management.
• Reference Semantics - Explains how to transfer objects using references and pointers to minimize memory overhead.
• Namespace Scopes - Explains the use of namespaces to organize code and prevent naming collisions.
• Learning & Reference - Syntax and data structure cheat sheet

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