A weekly Python podcast hosted by Christopher Bailey with interviews, coding tips, and conversation with guests from the Python community. The show covers a wide range of topics including Python programming best practices, career tips, and related software development topics. Join us every Friday morning to hear what's new in the world of Python programming and become a more effective Pythonista.
Making Each Line of Code Efficient & Python In Excel
Are you writing efficient Python with as few lines of code as possible? Are you familiar with the many built-in language features that will simplify your code and make it more Pythonic? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.
Finding the Right Coding Font for Programming in Python
What should you consider when picking a font for coding in Python? What characters and their respective glyphs should you check before making your decision? This week on the show, we talk with Real Python author and core team member Philipp Acsany about his recent article, Choosing the Best Coding Font for Programming.
Improving Classification Models With XGBoost
How can you improve a classification model while avoiding overfitting? Once you have a model, what tools can you use to explain it to others? This week on the show, we talk with author and Python trainer Matt Harrison about his new book Effective XGBoost: Tuning, Understanding, and Deploying Classification Models.
Common Python Stumbling Blocks & Quirky Behaviors
Have you ever encountered strange behavior when trying something new in Python? What are common quirks hiding within the language? This week on the show, Christopher Trudeau is here, bringing another batch of PyCoder's Weekly articles and projects.
Exploring pandas 2.0 & Targets for Apache Arrow
What are the new ways to describe your data in pandas 2.0? Will the addition of Apache Arrow to the data back end foster the growth of data interoperability? This week on the show, we talk with pandas core developer Marc Garcia about the release of pandas 2.0.
Differentiating the Versions of Python & Unlocking IPython's Magic
What are all the different versions of Python? You may have heard of Cython, Brython, PyPy, or others and wondered where they fit into the Python landscape. This week on the show, Christopher Trudeau is here, bringing another batch of PyCoder's Weekly articles and projects.
Leveraging the Features of Your Database With Postgres and Python
Are you getting the most out of your Postgres database? What features could you leverage to improve your Python project? This week on the show, Craig Kerstiens from Crunchy Data is here to discuss getting the most out of Postgres.
Constructing Python Library APIs & Tackling Jinja Templating
What principles should you consider when designing a Python library? How do you construct a library API that's understandable and easy to use? This week on the show, Christopher Trudeau is here, bringing another batch of PyCoder's Weekly articles and projects.
Python Crash Course & Learning Enough to Start Creating
How much Python do you need to learn to start creating projects? What's a good balance of information and hands-on practice? This week on the show, Eric Matthes is here to discuss his book Python Crash Course.
Exploring the Zen of Python & pandas Features for Finance
What advice can you extract from the Zen of Python? How can these nineteen guiding principles help you write more idiomatic Python? This week on the show, Christopher Trudeau is here, bringing another batch of PyCoder's Weekly articles and projects.
Resources and Advice for Building CircuitPython Projects
Are you looking to advance your CircuitPython projects? Would you like a collection of resources and tools to help you along your path? This week on the show, Tod Kurt is here to discuss building projects with CircuitPython.
Inheriting a Large Python Code Base & Building a GUI With Kivy
What are the unique challenges of a large Python code base? What techniques can you implement to simplify the management of a big project? This week on the show, Christopher Trudeau is here, bringing another batch of PyCoder's Weekly articles and projects.
Volunteering, Organizing, and Finding a Python Community
Have you thought about getting more involved in the Python community? Are you interested in volunteering for an event or becoming an organizer? This week on the show, we speak with organizers from this year's PyCascades conference about making connections, learning new skills, and rationing your time.
Building Python CI With Docker & Applying for a Hacker Initiative Grant
Do you need a refresher on using Docker with Python? Would you like to learn how to configure a continuous integration pipeline with modern tools and Docker? This week on the show, Christopher Trudeau is here, bringing another batch of PyCoder's Weekly articles and projects.
Discussing Mojo & Improving Python Object-Oriented Programming
Would you like to speed up your Python machine-learning code dramatically? What if you only had to change a few keywords and add a couple of type hints on portions of your code? This week on the show, Christopher Trudeau is here, bringing another batch of PyCoder's Weekly articles and projects.