Faster Python Without the Fluff and Frustration!
Learn all of Python concurrency.
Discover how to use all of the concurrency module 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.
“The Jump-Start Boxed Set”
This boxed set includes all 7 jump-start books covering everything you need to know to get started and get good at Python concurrency.
Warning: This boxed set is only for Python developers that are serious about learning concurrency.
You Will Get All 7 Books:
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.
Choose Your Package:
Boxed Set: Download a zip file containing all 7 jump-start books in pdf and epub formats along with all source code files.
Alternatively, you may choose the Complete Set that contains the jump-start boxed set, as well as the interview questions boxed set, printable cheat sheets, API mindmaps, and a parallel loops guide.
All prices are in USD.
(also, you can get the boxed set from amazon)
100% Money-Back Guarantee
(no questions asked)
I want you to actually learn Python Concurrency so well that you can confidently use it on current and future projects.
I designed my books to read just like I’m sitting beside you, showing you how.
I want you to be happy. I want you to win!
I stand behind all of my materials. I know they get results and I’m proud of them.
Nevertheless, if you decide that my books are not a good fit for you, I’ll understand.
I offer a 100% money-back guarantee, no questions asked.
To get a refund, contact me with your purchase name and email address.
Boxed Set Book Covers
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 books are designed for Python developers who want to discover how to use and get the most out of Python concurrency.
Specifically, the books 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 books 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.
Are there code examples?
Each lesson has one or more complete, standalone, and fully-working code examples.
Each book is provided in a .zip file that includes a src/ directory containing all source code files used in the book.
How long will each book take you to finish?
About 1 hour per lesson.
Work at your own pace.
I recommend 1 lesson per day, over 7 days (1 week) per book.
There’s no rush and I recommend that you take your time.
Each book is designed to be read linearly from start to finish, guiding you from being a Python developer at the start of the book to being a Python developer that can confidently use the techniques in your projects by the end of the book.
In order to avoid overload, I recommend completing one lesson per day, such as in the evening or during your lunch break. This will allow you to complete the transformation in about one week.
I recommend you maintain a directory with all of the code you type from the lessons in the book. This will allow you to use the directory as your own private code library, allowing you to copy-paste code into your projects in the future.
I recommend trying to adapt and extend the examples in the lessons. Play with them. Break them. This will help you learn more about how the API works and why we follow specific usage patterns.
What format are the books?
You can read the books on your screen, next to your editor.
You can also read the books on your tablet, away from your workstation.
The books are provided in 2 formats:
- PDF (.pdf): perfect for reading on the screen or tablet.
- EPUB (.epub): perfect for reading on a tablet with a Kindle or iBooks app.
Many developers like to read technical books on their tablet or iPad.
How can you get more help?
The lessons in the books were designed to be easy to read and follow.
Nevertheless, sometimes we need a little extra help.
A list of further reading resources is provided at the end of each lesson. These can be helpful if you are interested in learning more about the topic covered, such as fine-grained details of the standard library and API functions used.
The conclusions at the end of each book provide a complete list of websites and books that can help if you want to learn more about Python concurrency and the relevant parts of the Python standard library. It also lists places where you can go online and ask questions about Python concurrency.
Finally, if you ever have questions about the lessons or code in these books, you can contact me any time and I will do my best to help. My contact details are provided at the end of each book.
Can you print the books?
Although, I think it’s better to work through the books on the screen.
- You can search, skip, and jump around really fast.
- You can copy and paste code examples.
- You can compare code output directly.
Is there digital rights management?
The ebooks have no DRM.
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.
Can you buy the books elsewhere?
You can get a kindle boxed set from Amazon.
Many developers prefer to buy from the kindle store on amazon directly.
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 the content of each book?
You can learn more about all of these books here:
How do the “Jump-Start Books” compare to the “Complete Guides“?
The SuperFastPython Jump-Start books are laser-focused on making you productive with a Python concurrency module or class as fast as possible.
This means that many broader topics are not covered because they are not on the critical path.
The guides on SuperFastPython.com are broader in scope and compare the class or module to related modules, describing best practices, common errors, common usage questions, and common objects.
This material may be interesting but is a distraction when you are focused on getting productive as fast as possible.
Another important difference is that the jump-start books are provided in book form, whereas the guides are very long web pages.
This makes the books easy to read on a kindle, tablet, or paperback, as well as the screen, whereas the guides must be read in the browser.
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 wrote these books.
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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Alternatively, you can get the boxed set from amazon.