5 Years Podcasting Python With Michael Kennedy: Growth, GIL, Async, and More
The Real Python Podcast
Python Excel Course and Ancient Manuscript Analysis with Python and OpenCV
Exploring the efficiency of automating Excel tasks with Python, followed by a captivating tale of a monk-PhD researcher using Python and computer vision to study ancient calligraphy manuscripts.
Why is Python pulling in so many new programmers? Maybe some of that growth is from Python being a full-spectrum language. This week on the show we have Michael Kennedy, the host of the podcast “Talk Python to Me”. Michael reflects on five years of podcasting about Python, and many of the changes he has seen in the Python landscape.
We discuss several stories about the different ways Python is being used, and how that is drawing in many new programmers. Michael covers some potential Python stumbling blocks of Async, the Python Global Interpreter Lock (GIL), building desktop apps, and type checking. We also talk about how podcasts can act as a form of language immersion.
Course Spotlight: Editing Excel Spreadsheets in Python With openpyxl
In this course, you’ll learn how to handle spreadsheets in Python using the openpyxl package. You’ll learn how to manipulate Excel spreadsheets, extract information from spreadsheets, create simple or more complex spreadsheets, including adding styles, charts, and so on.
Topics:
- 00:00:00 – Introduction
- 00:01:34 – Changes in the Python landscape over the last 5 years
- 00:08:09 – Changing the perspective from scripts to applications
- 00:10:48 – Python as a full-spectrum language
- 00:17:13 – What are the areas of growth for Python
- 00:22:09 – Stories highlights from Talk Python
- 00:27:48 – Stack Overflow Developer Surveys
- 00:33:22 – Enterprise use and contributions to Python
- 00:38:04 – Video Course Spotlight
- 00:39:20 – A monk learns Python and OpenCV
- 00:48:18 – Things that have been hard to do in Python
- 00:52:07 – How is the GIL part of the problem?
- 00:56:37 – Leave a review, it will help the show, Thanks!
- 00:57:04 – More on Async in Python
- 01:03:38 – Recent courses developed
- 01:10:05 – Who listens to a Python podcast?
- 01:13:06 – What are you excited about in the world of Python?
- 01:17:46 – What do you want to learn next?
- 01:23:17 – What is something you thought you knew about Python, but were wrong about it?
- 01:26:58 – Thanks and goodbye
Show Links:
- Talk Python To Me
- Brit uni’s AI algorithm clocks 50 exoplanets hidden in Kepler space ‘scope archives
- Fifty new planets confirmed in machine learning first
- Apple MainStage: Nine Inch Nails – YouTube
- Stack Overflow Trends: See how technologies have trended over time
- Stack Overflow: Most Loved, Dreaded, and Wanted Languages
- Enterprise Software with Python: Mahmoud Hashemi - Talk Python Ep54
- Python in digital humanities research: Cornelis van Lit - Talk Python Ep230
- PEP 554 – Multiple Interpreters in the Stdlib
- Machine Learning at the Large Hadron Collider: Talk Python Ep144
- Python at the Large Hadron Collider and CERN: Talk Python Ep29
- 12 of the Biggest Spreadsheet Fails in History: Oracle Blog
- FastAPI: Modern, fast (high-performance), web framework for building APIs with Python
- Starlette: Lightweight ASGI framework/toolkit
- Unsync: Unsynchronize asyncio by using an ambient event loop in a separate thread
- Python Type Checking: Real Python Video Course
- pydanctic: Data validation and settings management using Python type annotations
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