As you have seen, asyncio provides a simple and intuitive way to implement the framework of an asynchronous program with Python's asynchronous programming keywords. With that, let's consider the process of applying the framework provided to a synchronous application in Python, and convert it to an asynchronous one.
- 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
The asyncio framework in action
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