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C++ is a powerful programming language widely used in system/application software, game development, high-performance servers, and client applications. To reach a beginner level, you need to master the following areas of knowledge:
1. Basic Syntax:
Variables and data types (integer, floating-point, character, etc.)
Operators (arithmetic, relational, logical, etc.)
Control structures (if-else, switch, loops: for, while, do-while)
2. Functions:
Defining and calling functions
Parameter passing (pass by value, pass by reference)
Return values
3. Data Structures:
Arrays
Strings
Pointers and dynamic memory management (new and delete)
4. Object-Oriented Programming (OOP):
Classes and objects
Constructors and destructors
Encapsulation: access modifiers (public, private, protected)
Inheritance and polymorphism (virtual functions, pure virtual functions)
5. Standard Template Library (STL):
Containers (vector, list, map, set, etc.)
Iterators
Algorithms (sort, find, transform, etc.)
6. Input and Output:
Using cin and cout for basic input and output
File operations (fstream)
7. Exception Handling:
Using try, catch, throw keywords
8. Compilation and Debugging:
Understanding the compilation process
Using debugging tools to debug programs
9. Coding Standards:
Code style and naming conventions
Code readability and maintainability
10. Project Practice:
Apply what you’ve learned through small practical projects, such as a simple calculator, text editor, or mini-games.
After getting started, you can further study advanced topics based on your interests and needs, such as template programming, smart pointers, concurrent programming, etc. At the same time, practice is the best teacher; continuously writing code and solving real problems will help you improve your programming skills.
Download 1: OpenCV-Contrib Extension Module Chinese Tutorial
Reply "Extension Module Chinese Tutorial" in the backend of the “Beginner Learning Vision” public account to download the first comprehensive OpenCV extension module tutorial in Chinese, covering installation of extension modules, SFM algorithms, stereo vision, target tracking, biological vision, super-resolution processing, and more than twenty chapters of content.
Download 2: Python Visual Practical Project 52 Lectures
Reply "Python Visual Practical Project" in the backend of the “Beginner Learning Vision” public account to download 31 visual practical projects, including image segmentation, mask detection, lane line detection, vehicle counting, eyeliner addition, license plate recognition, character recognition, emotion detection, text content extraction, and face recognition, aiding in rapid learning of computer vision.
Download 3: OpenCV Practical Project 20 Lectures
Reply "OpenCV Practical Project 20 Lectures" in the backend of the “Beginner Learning Vision” public account to download 20 practical projects based on OpenCV, advancing OpenCV learning.
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