Master C++ Standard Template Library (STL)

Master C++ Standard Template Library (STL), available at $34.99, has an average rating of 4, with 19 lectures, based on 11 reviews, and has 41 subscribers.

You will learn about Fundamentals of Standard Template Library (STL) in C++ Important containers, iterators and algorithms in STL. This course is ideal for individuals who are Software Developers or College Students or Data Scientists It is particularly useful for Software Developers or College Students or Data Scientists.

Enroll now: Master C++ Standard Template Library (STL)

Summary

Title: Master C++ Standard Template Library (STL)

Price: $34.99

Average Rating: 4

Number of Lectures: 19

Number of Published Lectures: 19

Number of Curriculum Items: 20

Number of Published Curriculum Objects: 20

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will Learn

Fundamentals of Standard Template Library (STL) in C++
Important containers, iterators and algorithms in STL.

Who Should Attend

Software Developers
College Students
Data Scientists

Target Audiences

Software Developers
College Students
Data Scientists

Standard Template Library or STL are a set of versatile tools in C++. These enable us to write a quick, efficient and generic code in C++. STL consists of Containers, Iterators, Algorithms and Functors.

In this course we start with Sequence Containers and then move to associative containers, and different algorithms defined in STL.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Welcome to the Course

Lecture 2: Introduction

Lecture 3: C++ STL Containers and Container Adapters

Chapter 2: Iterators

Lecture 1: Iterators and Types of Iterators

Lecture 2: Four Important Iterator Functions

Lecture 3: Iterator Invalidation

Chapter 3: Sequence Containers

Lecture 1: Vectors

Lecture 2: Lists

Lecture 3: Deque

Lecture 4: Stack – LIFO

Lecture 5: Queue – FIFO

Lecture 6: Priority Queue

Chapter 4: Associative Containers

Lecture 1: Set

Lecture 2: Multi Set

Lecture 3: Unordered Set

Lecture 4: Unordered multiset

Lecture 5: Map

Lecture 6: MultiMap

Chapter 5: Conclusion

Lecture 1: Conclusion and Next Steps

Instructors

Abhishek Kumar
Computer Scientist at Adobe

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2 stars: 2 votes
3 stars: 2 votes
4 stars: 4 votes
5 stars: 3 votes

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