SuperFastPython.com – Everything Bundle
English | Tutorial | Size: 36.65 MB
Faster Python without the fluff and frustration
Discover how to use all of the concurrency APIs built into Python.
Develop scalable programs with thousands of concurrent tasks.
Develop parallel programs to execute many tasks simultaneously.
Develop faster programs that make use of all of your CPU cores.
Introducing:
“The Everything Bundle”
The books in the boxed set are:
Python Threading Jump-Start, Jason Brownlee, 2022.
Python ThreadPool Jump-Start, Jason Brownlee, 2022.
Python ThreadPoolExecutor Jump-Start, Jason Brownlee, 2022.
Python Multiprocessing Jump-Start, Jason Brownlee, 2022.
Python Multiprocessing Pool Jump-Start, Jason Brownlee, 2022.
Python ProcessPoolExecutor Jump-Start, Jason Brownlee, 2022.
Python Asyncio Jump-Start, Jason Brownlee, 2022.
You will learn how to use the 4 Python concurrency modules in the standard library:
The “threading” module for thread-based concurrency
The “multiprocessing” module for process-based concurrency
The “asyncio” module for coroutine-based concurrency
The “concurrent.futures” module for task executors
You will also learn how to use the 4 Python concurrency classes that provide pools of reusable workers:
The “ThreadPool” class for concurrent loops.
The “Pool” class for parallel loops.
The “ThreadPoolExecutor” for modern thread pools
The “ProcessPoolExecutor” class for modern process pools.
Python Threading Interview Questions, Jason Brownlee, 2022.
Python Multiprocessing Interview Questions, Jason Brownlee, 2022.
Python Concurrent Futures Interview Questions, Jason Brownlee, 2022.
Python Asyncio Interview Questions, Jason Brownlee, 2022.
The cheat sheets in this bundle include:
Python Threading API Cheat Sheet
Python ThreadPool API Cheat Sheet
Python ThreadPoolExecutor API Cheat Sheet
Python Multiprocessing API Cheat Sheet
Python Multiprocessing Pool API Cheat Sheet
Python ProcessPoolExecutor API Cheat Sheet
Python AsyncIO API Cheat Sheet
threading module API Mind Map
multiprocessing module API Mind Map
concurrent.futures module API Mind Map
asyncio module API Mind Map
Parallel Loops in Python, Jason Brownlee, 2022.
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