Talk Python To Me

By Michael Kennedy (@mkennedy)

Technology

What's Talk Python To Me about?

Talk Python to Me is a weekly podcast hosted by developer and entrepreneur Michael Kennedy. We dive deep into the popular packages and software developers, data scientists, and incredible hobbyists doing amazing things with Python. If you're new to Python, you'll quickly learn the ins and outs of the community by hearing from the leaders. And if you've been Pythoning for years, you'll learn about your favorite packages and the hot new ones coming out of open source.

4.9

459 ratings

Download our free app to listen on your phone

LAST EPISODE

#430: Delightful Machine Le...

09.19.2023

So, you've got this amazing machine learning model you created. And you want to share it and let your colleagues and users experiment with it on the web. How do you get started? Learning Flask or Django? Great frameworks, but ...

Talk Python To Me episodes:

09.19.2023 #430: Delightful Machine Learning Apps with Gradio So, you've got this amazing machine learning model you created. And you want to share it and let your colleagues and users experiment with it on the web. How do you get started? Learning Flask or Django? Great frameworks, but ...
09.11.2023 #429: Taming Flaky Tests We write tests to show us when there are problems with our code. But what if there are intermittent problems with the tests themselves? That can be big hassle. In this episode, we have Gregory Kapfhammer and Owain Parry on ...
08.29.2023 #428: Django Trends in 2023 Have you heard of Django? It's this little web framework that, well, kicked off much of Python's significance in the web space back in 2005. And that makes Django officially an adult. That's right, Django is now 18. And Django ...
08.19.2023 #427: 10 Tips and Ideas for the Beginner to Expert Python Journey Getting started in Python is pretty easy. There's even a t-shirt that jokes about it: I learned Python, it was a good weekend. But to go from know how to create variables and writing loops, to building amazing things like ...
08.09.2023 #426: What's New in PyScript [August 2023] One of the most exciting initiatives in the Python space these days is pyscript which enables Python running natively in your browser. With consistent support from the folks at Anaconda, this project has been making solid strides since its initial ...
08.04.2023 #425: Memray: The endgame Python memory profiler Understanding how your Python application is using memory can be tough. First, Python has it's own layer of reused memory (arenas, pools, and blocks) to help it be more efficient. And many important Python packages are built in natively compiled ...
07.27.2023 #424: Shiny for Python If you want to share your data science results as interactive web apps, you could learn Flask or Django and a bunch of other web technologies. Or, you could pick up one of the powerful frameworks for deploying data science ...
07.24.2023 #423: Solving 10 different simulation problems with Python Python is used for a wide variety of software projects. One area it's really gained a huge amount of momentum is in the computational space (including data science). On this episode we welcome back Allen Downey to dive into a ...
07.07.2023 #422: How data scientists use Python Regardless of which side of Python, software developer or data scientist, you sit on, you surely know that data scientists and software devs seem to have different styles and priorities. But why? And what are the benefits as well as ...
07.02.2023 #421: Python at Netflix When you think of Netflix (as a technology company), you probably imagine them as cloud innovators. They were one of the first companies to go all-in on a massive scale for cloud computing as well as throwing that pesky chaos ...
06.26.2023 #420: Database Consistency & Isolation for Python Devs When you use a SQL database like Postgres, you have to understand the subtleties of isolation levels from "read committed" to "serializable." And distributed databases like MongoDB offer a range of consistency levels, from "eventually consistent" to "linearizable" and many ...
06.14.2023 #419: Debugging Python in Production with PyStack Here's the situation. You have a Python app that is locked or even has completely crashed and all you're left with is a core dump on the server. Now what? It's time for PyStack! You can capture a view of ...
06.02.2023 #418: How To Keep A Secret in Python Apps Think about the different APIs and databases your application works with. Every one of them requires either an API key or a database connection string that itself contains a password. How do you let your application access this sensitive information ...
05.30.2023 #417: Test-Driven Prompt Engineering for LLMs with Promptimize Large language models and chat-based AIs are kind of mind blowing at the moment. Many of us are playing with them for working on code or just as a fun alternative to search. But others of us are building applications ...
05.22.2023 #416: Open Source Sports Analytics with PySport If you're looking for fun data sets for learning, for teaching, maybe a conference talk, or even if you're just really into them, sports offers up a continuous stream of rich data that many people can relate to. Yet, accessing ...
05.15.2023 #415: Future of Pydantic and FastAPI The release of Pydantic 2.0, its partial rewrite in Rust, and its refactoring into Pydantic core and top-level Pydantic in Python is big news. In fact, the alpha of Pydantic 2 was just released. Of course, these changes will have ...
05.07.2023 #414: A Stroll Down Startup Lane At PyCon 2023, there was a section of the expo floor dedicated to new Python- based companies called Startup Row. I wanted to bring their stories and the experience of talking with these new startups to you. So in this ...
04.26.2023 #413: Live from PyCon 2023 Did you make this year's PyCon event in the US? There was a lot of excitement this time around in Salt Lake City. In this episode I'll bring you a bunch of experiences we had this year. It starts where ...
04.19.2023 #412: PEP 711 - Distributing Python Binaries What if we distributed CPython, the runtime, in the same way we distributed Python packages - as prebuilt binary wheels that only need to be downloaded and unzipped to run? For starters, that would mean we could ship and deploy ...
04.14.2023 #411: Things I Wish Someone Had Explained To Me Sooner About Python What advice would you give someone just getting into Python? What did you learn over time through hard work and a few tears that would have really helped you? It's a fun game to play and we have Jason McDonald ...
04.06.2023 #410: The Intersection of Tabular Data and Generative AI AI has taken the world by storm. It's gone from near zero to amazing in just a few years. We have ChatGPT, we have Stable Diffusion. But what about Jupyter Notebooks and pandas? In this episode, we meet Justin Waugh, ...
04.01.2023 #409: Privacy as Code with Fides We all know that privacy regulations are getting more strict. And that many of our users no longer believe that "privacy is dead". But for even medium-sized organizations, actually tracking how we are using personal info in our myriad of ...
03.24.2023 #408: Hatch: A Modern Python Workflow In recent years, there has been a lot of experimenting how we work with dependencies and external libraries for our Python code. There is pip, pip- tools, Poetry, pdm, pyenv, pipenv, Hatch and others workflows. We dove into this deeply ...
03.18.2023 #407: pytest tips and tricks for better testing If you're like most people, the simplicity and easy of getting started is a big part of pytest's appeal. But beneath that simplicity, there is a lot of power and depth. We have Brian Okken on this episode to dive ...
03.12.2023 #406: Reimagining Python's Packaging Workflows The great power of Python is its over 400,000 packages on PyPI to serve as building blocks for your app. How do you get those needed packages on to your dev machine and managed within your project? What about production ...
03.03.2023 #405: Testing in Radio Astronomy with Python and pytest So you know about dependencies and testing, right? If you're talking to a DB in your app, you have to decide how to approach that with your tests. There are lots of solid options you might pick and they vary ...
02.20.2023 #404: Clean Code in Python Clean code is one of those aspects of your programming career that's easy to put on the back burner (sometimes by management more than yourself). But it's important in the short term for writing more debuggable and readable code. And ...
02.13.2023 #403: Fusion Ignition Breakthrough and Python Imagine a world with free and unlimited clean energy. That's the musings of a great science fiction story. But nuclear fusion (the kind that powers the sun) has always been close at hand, we see the sun every day, and ...
02.08.2023 #402: Polars: A Lightning-fast DataFrame for Python [updated audio] When you think about processing tabular data in Python, what library comes to mind? Pandas, I'd guess. But there are other libraries out there and Polars is one of the more exciting new ones. It's built in Rust, embraces parallelism, ...
02.08.2023 #402: Polars: A Lightning-fast DataFrame for Python When you think about processing tabular data in Python, what library comes to mind? Pandas, I'd guess. But there are other libraries out there and Polars is one of the more exciting new ones. It's built in Rust, embraces parallelism, ...
02.02.2023 #401: Migrating 3.8 Million Lines of Python At some point, you've probably migrated an app from one framework or major runtime version to another. For example, Django to Flask, Python 2 to Python 3, or even Angular to Vue.js. This can be a big challenge. If you ...
01.25.2023 #400: Ruff - The Fast, Rust-based Python Linter Our code quality tools (linters, test frameworks, and others) play an important role in keeping our code error free and conforming to the rules our teams have chosen. But when these tools become sluggish and slow down development, we often ...
01.18.2023 #399: Monorepos in Python Monorepos are contrary to how many of us have been taught to use source control. To start a project or app, the first thing we do is create a git repo for it. This leads to many focused and small ...
01.14.2023 #398: Imaging Black Holes with Python The iconic and first ever image of a black hole was recently released. It took over a decade of work and is a major achievement for astronomy and broadens our understanding of the universe for all of us. Would it ...
01.05.2023 #397: Evaluating New Open Source Tech Panel The beauty of open source software and libraries is that you're not stuck with a single option some vendor is offering. This is especially true when that support is poor and antiquated. Almost any capability you think of has multiple ...
12.30.2022 #396: AI Goes on Trial For Writing Code (crossover) For links and very detailed show notes, please view [the original episode page](https://pythonbytes.fm/episodes/show/312/ai-goes-on-trial-for-writing- code) over on Python Bytes. Thanks for listening!
12.22.2022 #395: Tools for README.md Creation and Maintenance If you maintain projects on places like GitHub, you know that having a classy readme is important and that maintaining a change log can be helpful for you and consumers of the project. It can also be a pain. That's ...
12.15.2022 #394: Awesome Jupyter Libraries and Extensions in 2022 Jupyter is an amazing environment for exploring data and generating executable reports with Python. But there are many external tools, extensions, and libraries to make it so much better and make you more productive. On this episode, we are going ...
12.08.2022 #393: Space Science with Python Space science is one of the few sciences that can spark wonder and imagining in almost anyone. It also happens to be the domain of Python with many missions, telescopes, and analysis happening with Python playing a major role.
12.02.2022 #392: Data Science from the Command Line When you think data science, Jupyter notebooks and associated tools probably come to mind. But I want to broaden your toolset a bit and encourage you to look around at other tools that are literally at your fingertips. The terminal ...
11.29.2022 #391: Pyscript powered by MicroPython No Python announcement of 2022 was met with more fanfare than pyscript. This project, announced at PyCon 2022, allows you to write Python files and run them in your browser in place of JavaScript or even with interactions between Python ...
11.15.2022 #390: Mastodon for Python Devs Wondering what Mastodon is all about? More importantly, what does it offer Python developers and other open source folks compared to Twitter? There is a huge amount of interest in the tech community about what's happening at Twitter and whether ...
11.09.2022 #389: 18 awesome asyncio packages in Python If you're a fan of Python's async and await keywords and the powers they unlock, then this episode is for you. We have Timo Furrer here to share a whole bunch of asyncio related Python packages. Timo runs the awesome-asyncio ...
11.02.2022 #388: Python 3.11 is here and it's fast Python 3.11 is here! Keeping with the annual release cycle, the Python core devs have released the latest version of Python. And this one is a big one. It has more friendly error messages and is massively faster than 3.10 ...
10.27.2022 #387: Build All the Things with Pants Build System Do you have a large or growing Python code base? If you struggle to run builds, tests, linting, and other quality checks regularly or quickly, you'll want to hear what Benjy Weinberger has to say. He's here to introduce Pants ...
10.19.2022 #386: Realtime Web Apps and Dashboards with H2O Wave Python's data science and data visualization capabilities are certainly one of the reasons for Python's meteoric rise over the past 10 years. But often thens visuals have been corralled into notebooks used by data scientists themselves or into static web ...
10.15.2022 #385: Higher level Python asyncio with AnyIO Do you love Python's async and await but feel that you could use more flexibility and higher-order constructs like running a group of tasks and child tasks as a single operation, or streaming data between tasks, combining async tasks with ...
10.04.2022 #384: Python Data Visualization - Where To Start? Do you struggle to know where to start in the wide range of Python's visualization frameworks? Not sure when to use Plotly vs. Matplotlib vs. Altair? Then this episode is for you. We have Chris Moffitt, a Talk Python course ...
09.28.2022 #383: Textinator and Building macOS Apps with Python For all the amazing powers of Python, deploying packaged apps that leverage native OS-level capabilities isn't one of them. But it can be done and we have a great guest, Rhet Turnbull, here to tell us how he built his ...
09.22.2022 #382: Apache Superset: Modern Data Exploration Platform When you think data exploration using Python, Jupyter notebooks likely come to mind. They are excellent for those of us who gravitate towards Python. But what about your everyday power user? Think of that person who is really good at ...

Older episodes

Talk Python To Me

What's Talk Python To Me about?

Download our free app to listen on your phone

Talk Python To Me episodes:

#430: Delightful Machine Learning Apps with Gradio

#429: Taming Flaky Tests

#428: Django Trends in 2023

#427: 10 Tips and Ideas for the Beginner to Expert Python Journey

#426: What's New in PyScript [August 2023]

#425: Memray: The endgame Python memory profiler

#424: Shiny for Python

#423: Solving 10 different simulation problems with Python

#422: How data scientists use Python

#421: Python at Netflix

#420: Database Consistency & Isolation for Python Devs

#419: Debugging Python in Production with PyStack

#418: How To Keep A Secret in Python Apps

#417: Test-Driven Prompt Engineering for LLMs with Promptimize

#416: Open Source Sports Analytics with PySport

#415: Future of Pydantic and FastAPI

#414: A Stroll Down Startup Lane

#413: Live from PyCon 2023

#412: PEP 711 - Distributing Python Binaries

#411: Things I Wish Someone Had Explained To Me Sooner About Python

#410: The Intersection of Tabular Data and Generative AI

#409: Privacy as Code with Fides

#408: Hatch: A Modern Python Workflow

#407: pytest tips and tricks for better testing

#406: Reimagining Python's Packaging Workflows

#405: Testing in Radio Astronomy with Python and pytest

#404: Clean Code in Python

#403: Fusion Ignition Breakthrough and Python

#402: Polars: A Lightning-fast DataFrame for Python [updated audio]

#402: Polars: A Lightning-fast DataFrame for Python

#401: Migrating 3.8 Million Lines of Python

#400: Ruff - The Fast, Rust-based Python Linter

#399: Monorepos in Python

#398: Imaging Black Holes with Python

#397: Evaluating New Open Source Tech Panel

#396: AI Goes on Trial For Writing Code (crossover)

#395: Tools for README.md Creation and Maintenance

#394: Awesome Jupyter Libraries and Extensions in 2022

#393: Space Science with Python

#392: Data Science from the Command Line

#391: Pyscript powered by MicroPython

#390: Mastodon for Python Devs

#389: 18 awesome asyncio packages in Python

#388: Python 3.11 is here and it's fast

#387: Build All the Things with Pants Build System

#386: Realtime Web Apps and Dashboards with H2O Wave

#385: Higher level Python asyncio with AnyIO

#384: Python Data Visualization - Where To Start?

#383: Textinator and Building macOS Apps with Python

#382: Apache Superset: Modern Data Exploration Platform

Other shows like Talk Python To Me: