7 Printable Cheat Sheets
Hold the python concurrency API in your hands
Discover printable PDF cheat sheets that cover the concurrency API provided with the standard library, including, threading, multiprocessing, concurrent.futures, and asyncio.
“The Cheat Sheet Bundle”
This bundle includes all 7 printable cheat sheets covering everything you need to test your knowledge of Python concurrency.
Warning: This bundle is only for Python developers that are serious about learning concurrency.
You Get 7 Cheat Sheets
- Python Threading Cheat Sheet
- Python ThreadPool Cheat Sheet
- Python ThreadPoolExecutor Cheat Sheet
- Python Multiprocessing Cheat Sheet
- Python Multiprocessing Pool Cheat Sheet
- Python ProcessPoolExecutor Cheat Sheet
- Python Asyncio Cheat Sheet
Explore concise examples showing 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
Choose Your Package:
Bundle: Download a zip file containing all 7 cheat sheets in pdf formats.
Alternatively, you may choose the Complete Set that contains the cheat sheet bundle, as well as the jump-start boxed set, the interview questions boxed set, API mindmaps, and a parallel loops guide.
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Frequently Asked Questions
This section covers some frequently asked questions.
If you have any questions, contact me directly. Any time about anything. I will do my best to help.
What are your prerequisites?
These cheat sheets are designed for Python developers who want to discover how to use and get the most out of Python concurrency.
Specifically, the cheat sheets are for:
- Developers that can write simple Python programs.
- Developers that need better performance from current or future Python programs.
- Developers that want to learn concurrent programming in Python.
These cheat sheets do not require that you are an expert in the Python programming language or concurrency.
- You do not need to be an expert Python developer.
- You do not need to be an expert in concurrency.
What version of python do you need?
All code examples use Python 3.
Python 3.9+ to be exact.
Python 2.7 is not supported because it reached its “end of life” in 2020.
What format are the cheat sheets?
Can you print the cheat sheets?
Is there digital rights management?
Do you get free updates?
Each time I release an updated version, I will send you an email with a link so that you can download the latest version for free.
You can also email me any time and I will send you the latest version.
Does python concurrency work on your operating system?
Python concurrency is built into the Python programming language and works equally well on:
Does python concurrency work on your hardware?
Python concurrency is agnostic to the underlying CPU hardware.
If you are running Python on a modern computer, then you will have support for concurrency, e.g. Intel, AMD, ARM, and Apple Silicon CPUs are supported.
Where can you learn more about these cheat sheets?
You can learn more about all of these cheat sheets here:
About the Author
Hi, I’m Jason Brownlee, Ph.D.
I’m a Python developer, husband, and father to two boys.
I want to share something with you.
I am obsessed with Python concurrency, but I wasn’t always this way.
My background is in Artificial Intelligence and I have a few fancy degrees and past job titles to prove it.
You can see my LinkedIn profile here:
- Jason Brownlee LinkedIn Profile
(follow me if you like)
Well, AI and machine learning has been hot for the last decade. I have spent that time as a Python machine learning developer:
- Working on a range of predictive modeling projects.
- Writing more than 1,000+ tutorials.
- Authoring over 20+ books.
There’s one thing about machine learning in Python, your code must be fast.
Modeling code is already generally fast, built on top of C and Fortran code libraries.
But you know how it is on real projects…
You always have to glue bits together, wrap the fast code and run it many times, and so on.
Making code run fast requires Python concurrency and I have spent most of the last decade using all the different types of Python concurrency available.
Including threading, multiprocessing, asyncio, and the suite of popular libraries.
I know my way around Python concurrency and I am deeply frustrated at the bad wrap it has.
This is why I started SuperFastPython.com where you can find hundreds of free tutorials on Python concurrency.
And this is why I created this bundle.
Praise for Super Fast Python
Python developers write to me all the time and let me know how helpful my tutorials and books have been.
Below are some select examples posted to LinkedIn.
What Are You Waiting For?
Stop reading outdated StackOverflow answers.
Learn Python concurrency correctly, step-by-step.
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