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C++ Unboxed (programming Language)
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charlie
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2 385 posts 2 385 threads Dołączył: Nov 2025
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[center][Obrazek: cead749f684ff84944e3e25322f4f8ee.png]
C++ Unboxed (programming Language)
Published 12/2025
Created by ProgLang MainSt.
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 88 Lectures ( 7h 51m ) | Size: 4.9 GB [/center]
The Theory Behind the World's Most Powerful Systems Language
What you'll learn
Explain the historical evolution of C++ from "C with Classes" to its modern form, including the impact of early tools like Cfront.[input.txt | Word]
Describe the core design pillars of C++: zero-overhead abstractions, RAII, and C compatibility, and how they shape language features and best practices.
Analyze the role of templates and generic programming in enabling code reuse, abstraction, and the development of the Standard Template Library (STL).
Understand modern C++ features such as move semantics, lambda expressions, type deduction, smart pointers, and the formal memory model.
Discuss advanced language concepts including concepts, ranges, coroutines, modules, and compile-time computation.
Evaluate C++'s application in performance-critical domains like game engines, embedded systems, browsers, databases, high-frequency trading, and scientific comp
Articulate the principles of memory management in C++: storage duration, object lifetimes, dynamic allocation, placement new, alignment, and padding.
Compare polymorphism mechanisms (virtual dispatch, vtables, type erasure) and modern alternatives (std::function, std::variant, std::any).
Summarize concurrency and parallelism models in C++: the memory model, atomics, memory orders, lock-free programming, and parallel algorithms.
Identify best practices and tooling for profiling, benchmarking, exception safety, ABI stability, and whole-program optimization.
Recognize modern idioms and safer subsets for writing robust, maintainable, and efficient C++ code.
Critically assess trade-offs between C++ and other languages (Rust, Go, Python) in terms of performance, safety, and ecosystem.
Note: This is a theory course. It does not include coding samples, hands-on labs, or implementation instructions.
The focus is on conceptual understanding, language rationale, and system-level design principles.
Requirements
A solid understanding of general programming concepts (variables, control flow, functions, data structures).
Familiarity with basic C++ syntax and semantics (no advanced coding required).
Exposure to systems programming concepts (memory management, compilation, concurrency) is helpful but not mandatory.
An interest in language design, software architecture, or performance engineering.
Description
This course contains the use of artificial intelligence.This advanced theory course offers a deep exploration of C++ as a language for high-performance and system-level programming, focusing on its evolution, design philosophy, and advanced features. Drawing from the comprehensive material in input.txt, the course traces C++'s journey from its origins as "C with Classes" to its current role in modern software infrastructure.Key topics include:The historical development of C++ and the influence of early tools like Cfront on compiler and language design.Core design pillars: zero-overhead abstractions, RAII (Resource Acquisition Is Initialization), and C compatibility.The emergence and impact of templates, generic programming, and the Standard Template Library (STL).Modern language features: move semantics, lambdas, type deduction, smart pointers, and the formal memory model.Advanced concepts: concepts, ranges, coroutines, modules, and compile-time computation.C++ in performance-critical domains: game engines, embedded systems, browsers, databases, high-frequency trading, and scientific computing.Memory management: storage duration, object lifetimes, dynamic allocation, placement new, alignment, and padding.Polymorphism and type erasure: virtual dispatch, vtables, type erasure, and modern alternatives like std::function, std::variant, and std::any.Concurrency and parallelism: the C++ memory model, atomics, memory orders, lock-free programming, and parallel algorithms.Tooling and best practices: profiling, benchmarking, sanitizers, exception safety, ABI stability, and whole-program optimizations.Modern idioms and safer subsets: emphasis on robust, idiomatic C++ practices and coding standards.Important Note:This is a theory course. It is designed to provide a rigorous conceptual and architectural understanding of C++ and its ecosystem. The course does not include coding samples, hands-on programming labs, or step-by-step implementation instructions. Instead, it focuses on the principles, rationale, and trade-offs underlying C++ language features, design patterns, and system-level applications.[input.txt | Word]By the end of the course, students will be equipped to analyze and reason about C++'s design, performance characteristics, and its application in complex software systems. This course is ideal for advanced undergraduates, graduate students, or professionals seeking a theoretical mastery of modern C++.
Who this course is for
Advanced undergraduate and graduate students in computer science, software engineering, or related fields.
Professional software engineers, system architects, and technical leads seeking a rigorous theoretical understanding of modern C++.
Developers transitioning to C++ from other languages who want to grasp the language's design philosophy and system-level applications.
Anyone interested in the conceptual foundations and performance characteristics of C++ in contemporary software infrastructure.

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