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

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