April 30, 2021

Podcast Rewind With Guest Highlights for 2020-2021

44 minutes

This week’s show is a bit different. We are taking a well-deserved short break, but we still wanted to share an episode with you. This rewind episode highlights clips from the many interviews over the past year or so of the show.

We also hear from many new listeners who have just discovered the show. Welcome aboard! We wanted to provide a sample of guests, topics, and questions we feature on the show.

For long-time listeners, this will be a brisk walk through past episodes and guests. We’ve talked with many guests, and it was hard to narrow it down to the sample provided here. We hope you enjoy this podcast rewind, and look forward to sharing a fantastic slate of upcoming guests.

Course Spotlight: Plot With Pandas: Python Data Visualization Basics

In this course, you’ll get to know the basic plotting possibilities that Python provides in the popular data analysis library pandas. You’ll learn about the different kinds of plots that pandas offers, how to use them for data exploration, and which types of plots are best for certain use cases.

Topics:

00:00:00 – Introduction

00:01:28 – E03 Brett Slatkin: Is Python a good tool for infrastructure?

00:03:30 – E07 Łukasz Langa: Origins of Black

00:10:55 – E08 Tania Allard: Reproducibility of project results

00:13:06 – Sponsor: Digital Ocean

00:13:47 – E11 Anthony Shaw: DRY (Don’t Repeat Yourself)

00:16:38 – E16 Hannah Stepanek: Creating NumPy types

00:20:02 – E18 Armin Ronacher: What would you change if you started the Flask project from scratch?

00:23:20 – E22 Russell Keith-Magee: Funding open-source projects

00:26:27 – E26 Michael Kennedy: How is the GIL part of the problem?

00:29:18 – Video Course Spotlight

00:30:27 – E30 Christopher Trudeau - The PEG parser

00:33:00 – E39 Reuven Lerner: What makes generator functions different?

00:37:35 – E47 Brett Cannon: Unravelling Python’s syntatic sugar series

00:43:43 – Thanks and goodbye

Show Links:

Episode 3: Effective Python and Python at Google Scale - With Brett Slatkin

Episode 7: AsyncIO + Music, Origins of Black, and Managing Python Releases - With Łukasz Langa

Episode 8: Docker + Python for Data Science and Machine Learning - With Tania Allard

Episode 11: Advice on Getting Started With Testing in Python - With Anthony Shaw

Episode 16: Thinking in Pandas: Python Data Analysis the Right Way - With Hannah Stepanek

Episode 18: Ten Years of Flask: Conversation With Creator Armin Ronacher

Episode 22: Create Cross-Platform Python GUI Apps With BeeWare - With Russell Keith-Magee

Episode 26: 5 Years Podcasting Python with Michael Kennedy: Growth, GIL, Async, and More

Episode 30: Exploring the New Features of Python 3.9 - With Geir Arne Hjelle and Christopher Trudeau

Episode 39: Generators, Coroutines, and Learning Python Through Exercises - With Reuven Lerner

Episode 47: Unraveling Python’s Syntax to Its Core With Brett Cannon

Level up your Python skills with our expert-led courses:

Python Generators 101

Plot With pandas: Python Data Visualization Basics

Cool New Features in Python 3.9

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