python-mastery README

The project's README from github.com/dabeaz-course/python-mastery. As one markdown file: README.md.

Advanced Python Mastery

A course by David Beazley (https://www.dabeaz.com)
Copyright (C) 2007-2024

Synopsis

An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the Python Cookbook, 3rd Edition (O'Reilly) and Python Distilled (Addison-Wesley). Released under a Creative Commons license. Free of ads, tracking, pop-ups, newsletters, and AI.

Everything in this course should work with the latest version of Python, but be aware that the course primarily targets the feature set of Python 3.6. As such, certain modern features don't get coverage. Honestly, this shouldn't affect you much unless you're trying to write code that's freakishly clever.

Target Audience

This course is for Python programmers who want to move beyond short scripts to writing more sophisticated programs. To do that, it helps to better understand the programming techniques used in popular libraries and frameworks. Thus, this course is mainly for programmers who want to build a more complete mental model of the Python language itself and how it works. Ultimately, the goal is to be able to apply this knowledge to your own projects.

Prerequisites

You already know some Python. This is not a course for beginners. For more introductory material, you might consider the Practical Python Programming course.

How to Take the Course

To take the course, you should first fork/clone the GitHub repo to your own machine.

It is assumed that you are working locally in a proper Python development environment. That means a proper installation of Python, an editor/IDE, and whatever other tools that you would normally install to work on Python. Due to the use of multiple files and module imports, the use of Notebooks is not recommended.

The PythonMastery.pdf file contains detailed presentation slides. Course exercises and suggested timings are clearly indicated. You'll want to keep this by your side (I recommend downloading and viewing it with a local PDF viewer). Start here!

The Exercises/ directory has all of the course exercises.

The Solutions/ directory has fully worked out solution code.

The Data/ directory has some datafiles used during the course.

The course was originally taught over 4-5 days in an in-person classroom setting with a mix of lecture and hands-on exercises. Successful completion of the course will likely require 30-50 hours of work. Exercises tend to build upon each other. Solutions are always provided in case you get stuck.

Supplemental Material

The Advanced Python Mastery course often suggested more in-depth tutorials on selected topics. These were presented at the PyCon conference and might be of interest:

Questions and Answers

Q: Are any videos available?

A: No. You will be able to more quickly read the presentation slides which contain technical information. However, the Python Programming Language: LiveLessons video available on O'Reilly's Safari site is closely related to the material in this course.

Q: Can I use these materials in my own course?

A: Yes. I just kindly ask that you give proper attribution.

Q: Do you accept bug reports or pull requests?

A: If you've found a bug, please report it! However, I'm not looking to expand or reorganize the course content with new topics or exercises.

Q: Are the presentation slides available in any format other than PDF?

A: No.

Q: Is there any forum/chat where the course can be discussed?

A: You can use GitHub discussions to discuss the course.

Q: Why wasn't topic/tool/library X covered?

A: The course was designed to be completed in an intense 4-day in-person format. It simply isn't possible to cover absolutely everything. As such, the course is focused primarily on the core Python language, not third party libraries or tooling.

Q: Why aren't features like typing, async, or pattern matching covered?

A: Mainly, it's an issue of calendar timing and scope. Course material was primarily developed pre-pandemic and represents Python as it was at that time. Some topics (e.g., typing or async) are sufficiently complex that they would be better covered on their own in a separate course.

Q: Do you have plans to modernize the course?

A: It is my intention that everything in the course apply to the latest version of Python. Unless Python makes backwards-incompatible changes to the core language, that should hold. Although the course doesn't cover every new features, I won't rule out future changes. A lot depends on my available time and interest however. So, I make no promises.

Q: Why did you release the course?

A: This course was extensively taught pre-pandemic. Post-pandemic, my teaching has shifted towards projects and CS fundamentals. However, why let a good course just languish on my computer?

Q: How can I help?

A: If you like the course, the best way to support it is to tell other people about it.

>>> Advanced Python Mastery
... A course by dabeaz
... Copyright 2007-2023

. This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License

python-mastery (dabeaz-course/python-mastery)

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Python-mastery
Что это такое?Бесплатный продвинутый курс по программированию на Python от David Beazley. Он выпущен в виде слайдов, файлов с упражнениями и готовых решений, а не как обучающая платформа с хостингом.
Это онлайн-занятие в реальном времени или материал, который я изучаю самостоятельно?Это материал для самостоятельного изучения: PDF-презентация, каталог Exercises/ и каталог Solutions/. Изначально курс создавался для очного занятия в классе на 4–5 дней, но теперь его может пройти любой самостоятельно.
Как мне проходить курс?Сделайте форк или клонируйте репозиторий, откройте PythonMastery.pdf с презентацией и рекомендациями по темпу, затем выполняйте упражнения из Exercises/ и загляните в Solutions/, если застряли.
Нужно ли что-то кроме установленного Python?Нужна полноценная локальная установка Python и редактор кода или IDE. Блокноты Jupyter прямо не рекомендуются, так как упражнения состоят из нескольких файлов и используют импорт модулей.
Сколько времени мне стоит на это заложить?Рассчитывайте примерно на 30–50 часов работы. Материал изначально был рассчитан на 4–5 дней очного обучения.
Этот курс подходит для начинающих в Python?Нет, он предполагает, что вы уже знаете основы Python. Автор советует новичкам свой отдельный курс Practical Python Programming.
Курс охватывает новые возможности Python, например typing или асинхронность?Нет, в основном он ориентирован на возможности Python 3.6 и не затрагивает typing, асинхронность и сопоставление с образцом, так как автор считает, что эти темы заслуживают отдельного курса.
Есть ли видеолекции?Нет, видео нет. Быстрее всего получить технический материал из PDF-слайдов, хотя серия видео от O'Reilly охватывает похожие темы.
Могу ли я использовать эти материалы для проведения своего курса?Да, автор прямо разрешает использовать материалы в вашем курсе при условии обязательного указания авторства.
Курс всё ещё обновляется новыми темами?Автор не расширяет курс новыми темами, но намерен поддерживать его для последней версии Python, пока язык остаётся обратно совместимым.
What are similar projects?practical-python, RustTraining, GolangTraining, the-craft-of-selfteaching, Complete-Python-3-Bootcamp, learn-python, CppTemplateTutorial, USTC-Course
Which topics is it in?advanced, exercises, coding, study-guide, python3, curriculum, course, computer-science, pdf, reference, guide, learning-resources
Creator
dabeaz-course
Size
6.4 MB
Stars
13.4K
Updated
CommitDec 22Releasev2Jul 17
Age
3y
Commits · 90 Days