Build Fast and Efficient Python Applications Using Threads

Source code for the O'Reilly live online training with Lee Gaines.

We will use a Python3 Docker image to run the code. Assuming you have installed Docker, navigate to the src/threads directory of this repo, then build the image with the following command:

docker build -t py3-threads .

To access the shell, run a container using this command:

docker run -it py3-threads bash

All of the source code will be located in the /src directory in the container. To sync this directory with your working directory when you run the container, use this command:

docker run -it --mount type=bind,source=$$(pwd),target=/src py3-threads bash

If you have make you can use the following command to automate the build and run commands:

make run

Tips and Notes

• To view the threads as a program is running with htop: htop -> F2 -> Show custom thread names (tree view is nice, too)
• To view the threads as a program is running ps: ps -elF
• Show information about the current thread: threading.current_thread()
• Green threads are scheduled by the Python process, as opposed to a system-level thread scheduled by the OS.