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Könyv C++26 Programming Yuan Zhu

C++26 Programming

Modern Software Development, Templates, and Advanced Techniques: A Practical Guide to Modules,Concurrency,Memory Management, STL, Algorithms, Performance Optimization

Szerző: Yuan Zhu
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: Independently published
Elérhetőség: Beszállítói készleten
Küldés 9-13 napon belül
7 162 Ft
A program can compile successfully and still be difficult to extend, test, or optimize.As applicatio...

Információk a könyvről

Szerző
Yuan Zhu
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2026
oldal
242
EAN
9798140646424
Enbook ID
54439299
Kiadó
Independently published
Súly
428
Méretek
178 x 254 x 13

Teljes leírás

A program can compile successfully and still be difficult to extend, test, or optimize.
As applications grow, developers must make choices about ownership, interfaces, libraries, threads, and performance. Understanding syntax alone does not explain why one implementation is safer or easier to maintain than another.
This guide approaches modern language development through the decisions that shape dependable applications. It connects advanced language techniques with everyday engineering questions, giving readers a practical way to think about software structure and performance.
Explore how ownership and object lifetime influence resource safety; how templates can support reusable, type-aware components; how modules help organize dependencies; how concurrency creates opportunities and synchronization challenges; how library containers and algorithms affect efficiency; and how measurement can inform optimization decisions.
Coverage is organized around templates, modular organization, standard library facilities, concurrency, memory practices, algorithm selection, and performance measurement. The emphasis is on understanding the reasoning behind a technique rather than treating advanced features as isolated syntax.
It is intended for programmers progressing beyond introductory syntax, computing students developing engineering judgment, and working developers updating their approach to large or performance-sensitive codebases.
Develop a clearer framework for evaluating modern language techniques and applying them deliberately to your next software project.