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# python-mastery
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Advanced Python Mastery
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# Advanced Python Mastery
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A course by David Beazley (https://www.dabeaz.com)
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Copyright (C) 2007-2023
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## Synopysis
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An exercise-driven course on Advanced Python Programming that was
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battle-tested several hundred times on the corporate-training circuit
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for more than a decade. Written by David Beazley, author of the
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Python Cookbook, 3rd Edition (O'Reilly) and Python Distilled
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(Addison-Wesley). Released under a Creative Commons license. Free of
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ads, tracking, pop-ups, newletters, and AI.
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## Target Audience
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This course is for Python programmers who want to move beyond
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short scripts to writing more sophisticated programs. Topics
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focus on programming techniques that get used in popular libraries and
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frameworks. The primary goal is to better understand the Python language
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itself so that you can understand other people's code and so that you
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can apply your newfound knowledge to your own projects.
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## Prerequisites
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You already know some Python. This is not a course for beginners.
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For more introductory material, you might consider the
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[Practical Python Programming](https://dabeaz-course.github.io/practical-python) course.
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## How to Take the Course
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To take the course, you should first fork/clone the GitHub repo to your own
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machine.
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It is assumed that you are working locally in a proper Python
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development environment. That means a proper installation of Python,
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an editor/IDE, and whatever other tools that you would normally
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install to work on Python. Due to the use of multiple files and
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module imports, the use of Notebooks is not recommended.
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The [`PythonMastery.pdf`](PythonMastery.pdf) file contains detailed
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presentation slides. Course exercises and suggested timings are
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clearly indicated. You'll want to keep this by your side (I recommend
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downloading and viewing it with a local PDF viewer). Start here!
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The [Exercises/](Exercises/index.md) directory has all of the
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course exercises.
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The [Solutions/](Solutions/) directory has fully worked out solution code.
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The [Data/](Data/) directory has some datafiles used during the course.
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The course was originally taught over 4-5 days in an in-person
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classroom setting with a mix of lecture and hands-on exercises.
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Successful completion of the course will likely require 30-50 hours of
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work. Exercises tend to build upon each other. Solutions are always
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provided in case you get stuck.
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## Supplemental Material
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The Advanced Python Mastery course often suggested more in-depth tutorials
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on selected topics. These were presented at the PyCon conference and
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might be of interest:
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* [Generator Tricks for Systems Programmers](https://www.dabeaz.com/generators/)
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* [A Curious Course on Coroutines and Concurrency](http://dabeaz.com/coroutines/index.html)
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* [Python3 Metaprogramming](https://dabeaz.com/py3meta/index.html)
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* [Generators: The Final Frontier](https://dabeaz.com/finalgenerator/index.html)
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* [Modules and Packages: Live and Let Die](https://dabeaz.com/modulepackage/index.html)
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## Questions and Answers
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**Q: Are any videos available?**
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**A:** No. You will be able to more quickly read the presentation slides which contain
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technical information. However, the [Python Programming Language: LiveLessons](https://www.safaribooksonline.com/library/view/python-programming-language/9780134217314/) video
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available on O'Reilly's Safari site is closely related to the material in this course.
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**Q: Can I use these materials in my own course?**
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**A:** Yes. I just kindly ask that you give proper attribution.
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**Q: Do you accept bug reports or pull requests?**
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**A:** If you've found a bug, please report it! However, I'm not
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looking to expand or reorganize the course content with new topics or
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exercises.
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**Q: Are the presentation slides available in any format other than PDF?**
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**A:** No.
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**Q: Is there any forum/chat where the course can be discussed?**
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**A:** You can use [GitHub discussions](https://github.com/dabeaz-course/python-mastery/discussions) to discuss the course.
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**Q: What wasn't topic/tool/library X covered?**
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**A:** The course was designed to be completed in an intense 4-day
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in-person format. It simply isn't possible to cover absolutely
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everything. As such, the course is focused primarily on the core
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Python language, not third party libraries or tooling.
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----
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`>>>` Advanced Python Mastery
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`...` A course by [dabeaz](https://www.dabeaz.com)
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`...` Copyright 2007-2023
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. This work is licensed under a [Creative Commons Attribution-ShareAlike 4.0 International License](http://creativecommons.org/licenses/by-sa/4.0/)
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