In this subsection, we will look at how some of the APIs that we discussed are used in sample Python programs. Download the code for this book from the GitHub page, then go ahead and navigate to the Chapter19 folder.
- Title Page
- Copyright and Credits
- Dedication
- About Packt
- Contributors
- Preface
- 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
- Technical requirements
- Lock-based concurrent data structures in Python
- Mutex-free concurrent data structures in Python
- Building on simple data structures
- Summary
- Questions
- Further reading
- Memory Models and Operations on Atomic Types
- Building a Server from Scratch
- Testing, Debugging, and Scheduling Concurrent Applications
- Assessments
- Other Books You May Enjoy
Examples in Python
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