C++ Standard Template Library in Practice
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 10h 24m | 1.54 GB
Instructor: James Slocum


Efficient and effective ways to store data using STL containers
Manage application performance using STL memory allocation classes, and enhance these classes by developing your allocation routines
How data is structured and how the structure can be traversed using iterators
How algorithms are used to transform data into useful and meaningful information
Multitasking and managing shared data using concurrency and parallelism
Managing input and output (I/O) using streams and the role of stream buffers
How the STL has standardized common tasks


C++ is one of the most widely used programming languages. Fast, efficient, and flexible, it is used to solve many problems. In particular, it is the Standard Template Library (STL) that gives C++ its power. In this course, we show you how.

Using real-world examples, we focus on how STL handles and manipulates data. We examine containers and iterators, and how data can be transformed into meaningful information using algorithms. There is coverage of I/O streams, strings and numerical methods, and how performance can be optimized through careful consideration of memory allocation and manipulation. We also demonstrate how multitasking and shared data is handled through concurrency and parallelism classes and utilities.

By the end of the course, you will understand the newer aspects of C++ STL and will be able to overcome tasks that are time-consuming or would break your stride while developing.

The code bundle for this course is available at: github.com/PacktPublishing/C-Standard-Template-Library-in-Practice


Explore the latest C++ as the most important language and library features, including containers, algorithms, regular expressions, threads, and more
Learn how to leverage the set of rich, fast, and well-tested utilities and functions provided by the C++ STL
Take your development skills to new heights by making your applications fast, robust, and scalable

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