Python enthusiasts, rejoice! This week's Python Report is packed with exciting developments that can take your coding skills to the next level. From setting up Python on a machine with no network to boosting performance with Zig and creating dynamic web apps with HTMX and Django, there's something for everyone.

First up, let's talk about air-gapped Python. Imagine being able to set up Python and its packages on a machine with no internet connection. Sounds impossible? Think again. With some clever juggling, you can get Python up and running even in the most isolated environments. This is especially useful for developers working in secure or sensitive environments.

Next, we have async and await, the dynamic duo that can help you interleave tasks in Python more efficiently. By leveraging these powerful tools, you can get more done in less time, without the need for threads or multiple processes. This is a game-changer for developers looking to optimize their code and improve performance.

Speaking of performance, have you heard about Zig? This hot new language is designed to write fast, machine-native code, and it's now possible to wrap it in Python for ease and convenience. The result? Swifter Python programs that can take advantage of Zig's speed and efficiency. This integration has the potential to revolutionize the way we write Python code.

But that's not all. HTMX, a library that gives HTML the interactivity it's always needed, is now being combined with Python and Django to create dynamic web apps that are fast, flexible, and powerful. This is a major development for web developers, who can now create complex, interactive web applications with ease.

In other Python news, proposed Linux kernel patches would allow access to libperf from Python, giving developers a native interface to a low-level Linux subsystem. This could have significant implications for the development of high-performance applications.

Fastplotlib, a new interactive plotting library powered by the GPU, is also making waves in the Python community. While still in its alpha stages, this library has the potential to create snappy, live-updating graphs and plots that can run in a variety of contexts.

Finally, for those interested in the history of Python, an oral history of Bank Python is now available. This fascinating account reveals how Python has been used, in proprietary forks, by various investment firms, and is a must-read for anyone interested in the evolution of the language.

As you can see, it's an exciting time for Python developers. With these new developments, you can take your coding skills to the next level, create faster and more efficient code, and push the boundaries of what's possible with Python.