awesome-python-talks

[49 min, PyCon US 2013, ] – Learn to take better advantage of Python's best features and improve existing code through a series of code transformations

[20 + 7 min, PyCon US 2012] – Python is a multi-paradigm language, and while classes are great, they are also overused. This shows real world code examples and refactors the unnecessary classes, exceptions, and modules out of them – leading to a simplification of 660 SLOC to a mere 5 SLOC in one case. But be aware of

[47 min, PyCon CA 2012] – Principles of math and typesetting applied to your Python code to make it pleasing to the eye, and thus more readable and maintainable

[52 min, PyCon 2015] – Raymond helps you to spot the Gorilla in your code

[50 min, PyOhio 2014, ] – Applying Clean Architecture (a/k/a Hexagonal Architecture) to your Python code, making it more functional, for easier testing and comprehension

[40 min, PyCon US 2012] – Overview of the py.test tool for rapid and simple test authoring, introducing common testing terms, basic examples and unique pytest features like reporting for humans and dependency injection

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[55 min, PyCon DE 2013] – Introduction to devpi (shortly before the 1.2 release), which is a private PyPI server, a self-updating package cache, and a work-flow for uploading, testing and installing packages backed by tools

[27 min, PyCon AU 2014] – A look back at the confusing history of packaging in Python, how things got better and lead to today's formats and tools for releasing Python code

[16 + 4 min, PyCon 2014] — A look at the current state of PyPI and related tooling (still applicable in 2016), and what's to come (PyPI 2.0 and metadata 2.0)

[41 + 4 min, PyCon 2016] — glyph talks about building Python code into something a user can use

[26 + 5 min, PyCon 2016] — Sort-of continues glyph's talk: what happens when you mix in CPython extensions

[23 min, SciPy 2014] – An introduction to Bokeh (just after the 0.5 release)

[33 min, PyCon 2017, Jake VanderPlas] – Very nicely done overview of all the different visualization libraries and frameworks, and how they group together

– Searchable index of videos related to Python, and also categorized for browsing

Must-watch videos about Python

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Awesome Python

– A curated list of awesome Python frameworks, libraries, and software

Awesome Talks

– A list of online talks that people really enjoyed watching, and that are worthy of your time