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You are here: Home ▶ Limited-Time Offers ▶ Mastering Concurrency in Python

Mastering Concurrency in Python

February 29, 2020

Mastering Concurrency in Python

With Mastering Concurrency in Python, understand how to use concurrency to keep data consistent and applications responsive. Utilize application scaffolding to design highly-scalable programs. (Limited-time offer)

Table of Contents

  • Advanced Introduction to Concurrent and Parallel Programming
  • Amdahl’s Law
  • Working with Threads in Python
  • Using the with Statement in Threads
  • Concurrent Web Requests
  • Working with Processes in Python
  • Reduction Operators in Processes
  • Concurrent Image Processing
  • Introduction to Asynchronous Programming
  • Implementing Asynchronous Programming in Python
  • Building Communication Channels with asyncio
  • Deadlocks
  • Starvation
  • Race Conditions
  • The Global Interpreter Lock
  • Designing Lock-Based and Mutex-Free Concurrent Data Structures
  • Memory Models and Operations on Atomic Types
  • Building a Server from Scratch
  • Testing, Debugging, and Scheduling Concurrent Applications

Download Free PDF / Read Online

Author(s): Quan Nguyen
Publisher: Packt Publishing
Published: November 2018
Format(s): Online
File size: –
Number of pages: 446
Download / View Link(s): This offer has ended.
Free as of 02/29/2020.

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  5. Concurrency Control and Recovery in Database Systems
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