580+ Python Concurrency Interview Questions
Are you sure that you understand python concurrency?
Discover pointed interview questions (and answers) allowing you to learn the API and test your knowledge. They are also invaluable for evaluating job candidates.
“The Interview Questions Boxed Set”
This boxed set includes all 4 interview questions books covering everything you need to test your knowledge of Python concurrency.
Warning: This boxed set is only for Python developers that are serious about learning concurrency.
You Get All 4 Interview Questions Books
- Python Threading Interview Questions (120+ Q&A)
- Python Multiprocessing Interview Questions (180+ Q&A)
- Python Concurrent Futures Interview Questions (130+ Q&A)
- Python Asyncio Interview Questions (150+ Q&A)
Explore challenging questions on 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:
Boxed Set: Download a zip file containing all 4 interview question books in pdf and epub formats.
Alternatively, you may choose the Complete Set that contains the interview question boxed set, as well as the jump-start 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.
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?
Many questions require code snippets or full code examples which are provided in the answers.
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 sessions 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 section. 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.
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:
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.
Buy now and get your copy in seconds!
Alternatively, you can get the boxed set from amazon.