Get More Help
With Python Concurrency

Chatting with an expert can save months of frustrating trial and error!

Sometimes you need more help…

…when reading free tutorials is not enough.
…when you don’t have the time to study the API or read a book.
…when you just need to chat with an expert who has “been there and done that“.

Hi, I’m Jason Brownlee and I offer one-on-one help in the form of Mentoring.

How will mentoring work?

We will work together in one-hour sessions, typically once a week, although we can meet at a higher cadence if you have a time-critical project.

We can review your code or I can coach you on Python concurrency best practices, including topics such as:

Threading
Multiprocessing
Asyncio
Benchmarking
Concurrent File I/O
Concurrent NumPy
And much more…

We will use a shared Google doc that captures all notes, suggestions, and recommendations.

We will start with a free discovery chat via Google Meet.

More about Jason Brownlee?

A little more about me:

I am a senior software engineer

I have worked as a professional engineer since 1999, starting with consulting with high-performance multithreading frameworks and query processors.

I have worked on many large production systems operating at scale over the years.

Most recently I developed an ensemble wind probability forecasting system for tropical cyclones. It was deployed for government alerting services in Australia and the South Pacific countries.

I am also a research scientist

I have a Masters and Ph.D. research degrees in artificial intelligence, specifically nature-inspired algorithms and stochastic optimization.

Before SuperFastPython, I built and operated a machine learning training company for about 8 years.

I wrote 1,000+ tutorials and 20+ books on deep learning and machine learning in Python.

I no longer focus on machine learning (I’m a little burned out on it to be honest), but you cannot do deep learning or machine learning without harnessing the power of multiple CPU and GPU cores.

I am a Python concurrency expert

I love Python. I love concurrency.

SuperFastPython is where my two loves come together.

Python + Concurrency is all I do. It’s my main thing.

I have read all the books on Python concurrency.
I had used all of the Python concurrency APIs in the standard library.
I have written 500+ tutorials and 12+ books on Python concurrency.

Has anyone else in the world done anything like this?

I focus on Python concurrency with the standard library, e.g. threading, multiprocessing, and asyncio, because experience has taught me that every fancy new library we add to a project adds more support burden and technical debt. I recommend using the great tools that are built into the standard library.

You can learn more about me here: