Python Concurrency and Parallel Programming

  1. High-Level Abstractions with concurrent.futures
    1. Concurrent Futures Overview
      1. Unified threading and multiprocessing interface
        1. Abstraction benefits
          1. Use case scenarios
          2. Executor Abstract Base Class
            1. Executor interface definition
              1. Method specifications
                1. Custom executor implementation
                2. ThreadPoolExecutor
                  1. I/O-bound task optimization
                    1. Executor creation and configuration
                      1. Pool size considerations
                        1. Context manager usage
                          1. Resource management
                          2. ProcessPoolExecutor
                            1. CPU-bound task optimization
                              1. Executor creation and configuration
                                1. Process pool management
                                  1. Serialization requirements
                                    1. Performance considerations
                                    2. Future Object Interface
                                      1. Task Submission
                                        1. Submit method usage
                                          1. Argument passing
                                            1. Task scheduling
                                            2. Status Checking
                                              1. Done status queries
                                                1. Running status queries
                                                  1. Cancellation status queries
                                                  2. Result Retrieval
                                                    1. Result method usage
                                                      1. Blocking behavior
                                                        1. Timeout specifications
                                                        2. Exception Handling
                                                          1. Exception method usage
                                                            1. Exception propagation
                                                              1. Error handling strategies
                                                              2. Callback Registration
                                                                1. Done callback addition
                                                                  1. Callback execution timing
                                                                    1. Callback argument passing
                                                                  2. Parallel Mapping Operations
                                                                    1. Executor Map Method
                                                                      1. Parallel function mapping
                                                                        1. Result ordering preservation
                                                                          1. Chunk size optimization
                                                                            1. Iterator consumption

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                                                                        4. Asynchronous Programming with asyncio

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                                                                        6. Advanced Topics and Best Practices