A Complete Introduction to the C++ Programming Language
Learn the C++ programming language with a step-by-step introduction of all the important concepts and language features.
Created by Dmitri Nesteruk
30-Day Money-Back Guarantee
What you'll learn
- Comfortably write, compile, link and run C++ programs
- Solve problems using the C++ programming language
- Apply modern C++ programming practices
Course content
10 sections • 67 lectures • 2h 47m total length
- Preview01:33
- Preview00:58
- Preview02:25
- Preview02:47
- Preview03:19
- 01:15What is Modern C++?
- 02:21Compilers
- 02:17Build Systems
- 02:34Libraries
- 02:27IDEs
- 00:28Homework: Choose Your Editor
Requirements
- Very basic maths knowledge
- Experience in programming beneficial but not essential
Description
This course will teach you the fundamentals of the C++ programming language, with a focus on Modern C++ features and the efficient use of tools. Start with the fundamentals and work your way up to advanced C++11 concepts and OOP mastery!
Here are some of the things we are going to cover:
- C++ ecosystem: compilers, IDEs
- The compilation process
- Data types: numeric, strings, arrays, etc.
- Control flow
- Memory management
- User-defined types
- Object-oriented programming
Why take this course? Glad you asked. This course is...
- Fast-paced, yet feature-complete
- Covers only modern C++ (C++11, C++14, etc.)... no legacy C/C++!
- Opinionated towards best practices
- Additional content – driven by you!
That last part means that additional lectures will appear driven by your comments and requests.
Enjoy!
Who this course is for:
- Beginner C++ programmers
- Developers wishing to learn C++
Instructor
Software/Hardware Engineering • Quant Finance • Algotrading
![Dmitri Nesteruk](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.5 Instructor Rating
- 29,254 Reviews
- 154,065 Students
- 21 Courses
Dmitri is a quant, developer, book author and course author. His interests lie in software development and integration practices in the areas of computation, quantitative finance and algorithmic trading. His technological interests include C# and C++ programming as well high-performance computing using technologies such as CUDA and FPGAs. He has been a C# MVP since 2009.