Multithreading Basics For Beginner C++/Java/Python Developer

Concurrency related terms like process, thread, multitaksing, parallel programming, multithreading, kernel scheduling

What you'll learn

Basic concepts needed to use multithreading

Operating system and hardware interactions that make multithreading possible

Analysing problems than could be solved using multithreading

A programming language independent overview of concepts to help dive deeper into code and operating systems internals.

Requirements

No programming experience needed.

Willingness to followup on the concepts and apply in personal projects.

Description

A comprehensive course designed to help you grasp the fundamentals of concurrency and multithreading without diving into coding-specific details.As software development evolves and applications are built to run on multiple processors and machines, understanding concurrency and multithreading becomes crucial. This course is perfect for beginners and experienced programmers looking to expand their skill set in this increasingly important area.In this course, we will:Explore fundamental concurrency concepts, including threads, processes, and synchronization.Discuss the challenges of concurrent programming, such as race conditions (please note that we will not explore techniques for addressing these challenges).Focus on the bigger picture of concurrency and multithreading without getting bogged down in language-specific details.By the end of this course, you will have a solid foundation in multithreading and concurrency, preparing you to take your programming skills to the next level.Benefits of Learning Multithreading & Concurrency Early in Your Career:Future-proof your career: With the increasing importance of concurrency in computing, mastering these concepts will make you more valuable to employers and help future-proof your career.Solve complex problems efficiently: Understanding how to use threads, and processes effectively allows you to write programs that perform multiple tasks simultaneously, making your code more efficient and maintainable.Improve performance: Implementing concurrency can enhance the performance of your applications, such as web applications that handle multiple requests simultaneously, resulting in faster and more responsive experiences.Avoid common pitfalls: Learning concurrency early in your career equips you to sidestep challenges like race conditions and deadlocks, saving you time and frustration.Whether you're just starting your journey in software development or are an established developer looking to broaden your skills, this course on multithreading and concurrency is a valuable investment in your career. So enroll now and unlock the power of parallel programming!

Overview

Section 1: Introduction

Lecture 1 Getting over the myths around concurreny

Lecture 2 Do generic solutions for concurrency exist?

Section 2: Concepts

Lecture 3 Multitasking, Multithreading, Concurrency, Parallelism as concepts

Lecture 4 Process, Thread, Heap, Stack concepts

Lecture 5 Cores of a processor

Lecture 6 Concept of a resources and race condition

Lecture 7 End to end journey of language standard to execution. Example C++ language

Lecture 8 Concurreny from a hardware perspective

Lecture 9 The concept of context switch. Overview no operating systems details needed.

Lecture 10 Concurrency/Multithreading related challenges in production systems

Lecture 11 Amdahl's Law and basic of scalability all software developers must understand!

Section 3: Conclusion

Lecture 12 When to unleash concurrency, responsibly.

Lecture 13 [Bonus Lecture]

Beginner developers who have recently learned some programming language,Developers curious about concurrency and seeking an easy way to get started,Beginner Python developers curious about concurrency concepts,Beginner C++ developers looking for multithreading details beyond syntax