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Create Better Programs Using Concurrency Libraries And Patterns Developer

Jese Leos
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Published in Python In Practice: Create Better Programs Using Concurrency Libraries And Patterns (Developer S Library)
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Concurrency is a powerful tool that can be used to improve the performance of your programs. However, it can also be a complex and challenging topic to learn. This book will teach you how to use concurrency libraries and patterns to create better programs.

Python in Practice: Create Better Programs Using Concurrency Libraries and Patterns (Developer s Library)
Python in Practice: Create Better Programs Using Concurrency, Libraries, and Patterns (Developer's Library)
by Mark Summerfield

4.1 out of 5

Language : English
File size : 37702 KB
Text-to-Speech : Enabled
Enhanced typesetting : Enabled
Print length : 324 pages
Screen Reader : Supported

This book is divided into three parts.

  • Part 1: to Concurrency
  • Part 2: Concurrency Libraries
  • Part 3: Concurrency Patterns

In Part 1, you will learn the basics of concurrency. You will learn what concurrency is, why it is important, and how to write concurrent code.

In Part 2, you will learn about the different concurrency libraries that are available. You will learn how to use these libraries to create concurrent programs.

In Part 3, you will learn about the different concurrency patterns that are available. You will learn how to use these patterns to create concurrent programs that are efficient, scalable, and maintainable.

This book is a valuable resource for any developer who wants to learn how to use concurrency to improve the performance of their programs.

Table of Contents

  • Part 1: to Concurrency
  • Part 2: Concurrency Libraries
  • Part 3: Concurrency Patterns

Part 1: to Concurrency

In this part, you will learn the basics of concurrency. You will learn what concurrency is, why it is important, and how to write concurrent code.

  • What is Concurrency?
  • Why is Concurrency Important?
  • How to Write Concurrent Code

What is Concurrency?

Concurrency is the ability of a program to execute multiple tasks simultaneously. This can be done by using multiple threads or by using a single thread that is time-sliced between multiple tasks.

Concurrency can be used to improve the performance of a program by allowing it to take advantage of multiple processors or cores. It can also be used to make a program more responsive by allowing it to handle multiple tasks at the same time.

Why is Concurrency Important?

Concurrency is important because it can help you to write programs that are more efficient, scalable, and maintainable.

  • Efficiency: Concurrency can help you to write programs that are more efficient by allowing them to take advantage of multiple processors or cores.
  • Scalability: Concurrency can help you to write programs that are more scalable by allowing them to handle multiple tasks at the same time.
  • Maintainability: Concurrency can help you to write programs that are more maintainable by allowing you to break them down into smaller, more manageable tasks.

How to Write Concurrent Code

To write concurrent code, you need to use a concurrency library or pattern. A concurrency library provides a set of functions that you can use to create and manage concurrent tasks. A concurrency pattern is a design pattern that you can use to write concurrent code.

In this book, you will learn about both concurrency libraries and patterns.

Part 2: Concurrency Libraries

In this part, you will learn about the different concurrency libraries that are available. You will learn how to use these libraries to create concurrent programs.

  • The Java Concurrency Library
  • The .NET Concurrency Library
  • The C++ Concurrency Library

The Java Concurrency Library

The Java Concurrency Library (JCL) is a set of classes and interfaces that you can use to create and manage concurrent tasks. The JCL provides a variety of features, including:

  • Threads: The JCL provides a set of classes that you can use to create and manage threads.
  • Synchronization: The JCL provides a set of classes that you can use to synchronize access to shared resources.
  • Concurrency utilities: The JCL provides a set of utility classes that you can use to perform common concurrency tasks.

The .NET Concurrency Library

The .NET Concurrency Library (TPL) is a set of classes and interfaces that you can use to create and manage concurrent tasks. The TPL provides a variety of features, including:

  • Tasks: The TPL provides a set of classes that you can use to create and manage tasks.
  • Synchronization: The TPL provides a set of classes that you can use to synchronize access to shared resources.
  • Concurrency utilities: The TPL provides a set of utility classes that you can use to perform common concurrency tasks.

The C++ Concurrency Library

The C++ Concurrency Library (CCL) is a set of classes and interfaces that you can use to create and manage concurrent tasks. The CCL provides a variety of features, including:

  • Threads: The CCL provides a set of classes that you can use to create and manage threads.
  • Synchronization: The CCL provides a set of classes that you can use to synchronize access to shared resources.
  • Concurrency utilities: The CCL provides a set of utility classes that you can use to perform common concurrency tasks.

Part 3: Concurrency Patterns

In this part, you will learn about the different concurrency patterns that are available. You will learn how to use these patterns to create concurrent programs that are efficient, scalable, and maintainable.

  • The Producer-Consumer Pattern
  • The Reader-Writer Pattern
  • The Active Object Pattern

The Producer-Consumer Pattern

The Producer-Consumer Pattern is a concurrency pattern that allows multiple producers to produce data that is consumed by multiple consumers.

The Producer-Consumer Pattern is often used to implement queues and other data structures that need to be accessed by multiple threads.

The Reader-Writer Pattern

The Reader-Writer Pattern is a concurrency pattern that allows multiple readers to read data from a shared resource, but only one writer to write data to the shared resource.

The Reader

Python in Practice: Create Better Programs Using Concurrency Libraries and Patterns (Developer s Library)
Python in Practice: Create Better Programs Using Concurrency, Libraries, and Patterns (Developer's Library)
by Mark Summerfield

4.1 out of 5

Language : English
File size : 37702 KB
Text-to-Speech : Enabled
Enhanced typesetting : Enabled
Print length : 324 pages
Screen Reader : Supported
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The book was found!
Python in Practice: Create Better Programs Using Concurrency Libraries and Patterns (Developer s Library)
Python in Practice: Create Better Programs Using Concurrency, Libraries, and Patterns (Developer's Library)
by Mark Summerfield

4.1 out of 5

Language : English
File size : 37702 KB
Text-to-Speech : Enabled
Enhanced typesetting : Enabled
Print length : 324 pages
Screen Reader : Supported
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