x

75% of people globally want unbiased news (Pew Research) but are concerned they're not getting that.

Get balanced coverage with Symby. See how stories are covered across diverse outlets and spot when one side covers a story the other skips.

PODCAST

Talk Python To Me

Michael Kennedy

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

technology

All Episodes

01:08:21

#457: Software Supply Chain Security with Phylum

Talk Python To Me ·

2024/04/19

We've spoken previously about security and software supply chains and we are back at it this episode. We're diving in again with Charles Coggins. Charles works at a software supply chain company and is on to give us the insiders and defender's perspective on how to keep our Python apps and infrastructure safe.Episode sponsors Sentry Error Monitoring, Code TALKPYTHON Mailtrap Talk Python Courses Links from the show Pick a Python Lockfile and Improve Security: blog.phylum.io Bad Beat Poetry:

en-us

01:05:20

#456: Building GPT Actions with FastAPI and Pydantic

Talk Python To Me ·

2024/04/16

Do you know what custom GPTs are? They're configurable and shareable chat experiences with a name, logo, custom instructions, conversation starters, access to OpenAI tools, and custom API actions. And, you can build them with Python! Ian Maurer has been doing just that and is here to share his experience building them. Episode sponsors Sentry Error Monitoring, Code TALKPYTHON Neo4j Talk Python Courses Links from the show Ian on Twitter: @imaurer Mobile Navigation: openai.com What is a Custom

en-us

00:59:33

#455: Land Your First Data Job

Talk Python To Me ·

2024/04/04

Interested in data science but you're not quite working in it yet? In software, getting that very first job can truly be the hardest one to land. On this episode, we have Avery Smith from Data Career Jumpstart here to share his advice for getting your first data job.Episode sponsors Sentry Error Monitoring, Code TALKPYTHON Posit Talk Python Courses Links from the show Avery Smith: www.linkedin.com Data Career Jumpstart: www.datacareerjumpstart.com Data Nerd Site: datanerd.tech Write C# LINQ

en-us

00:58:25

#454: Data Pipelines with Dagster

Talk Python To Me ·

2024/03/21

Do you have data that you pull from external sources or is generated and appears at your digital doorstep? I bet that data needs processed, filtered, transformed, distributed, and much more. One of the biggest tools to create these data pipelines with Python is Dagster. And we are fortunate to have Pedram Navid on the show this episode. Pedram is the Head of Data Engineering and DevRel at Dagster Labs. And we're talking data pipelines this week at Talk Python.Episode sponsors Talk Python

en-us

01:14:21

#453: uv - The Next Evolution in Python Packages?

Talk Python To Me ·

2024/03/13

Have you ever been wait around for pip to do its thing while installing packages or syncing a virtual environment or through some higher level tool such as pip-tools? Then you'll be very excited to hear about the tool just announced from Astral called uv. It's like pip, but 100x faster. Charlie Marsh from Ruff fame and founder of Astral is here to dive in. Let's go. Episode sponsors Neo4j Talk Python Courses Links from the show Charlie Marsh on Twitter: @charliermarsh Charlie Marsh on Mastodon:

en-us

00:55:42

#452: Top Quart (async Flask) Extensions

Talk Python To Me ·

2024/03/10

Have you heard of Quart? It's the fully-async version of Flask created by Philip Jones who is working closely with the Flask team on these parallel projects. The TL;DR; version is that if you want to take advantage of async and await and you're using Flask, you want to give Quart a solid look. We've spoken to Philip previously about Quart. This time around here's here to share his top Quart extensions and libraries you can adopt today. Episode sponsors Posit Talk Python Courses Links from the

en-us

00:58:33

#451: Djangonauts, Ready for Blast-Off

Talk Python To Me ·

2024/03/01

Are you interested in contributing to Django? Then there is an amazing mentorship program that helps Python and Django enthusiasts, because contributes and potentially core developers of Django. It's called Djangonauts and their slogan is "where contributors launch." On this episode, we have Sarah Boyce from the Django team and former Djangonaut and now Djangonaut mentor, Tushar Gupta. Not only is this excellent for the Django community, many of other open source communities would do well to keep an

en-us

01:02:37

#450: Versioning Web APIs in Python

Talk Python To Me ·

2024/02/22

You've built an awesome set of APIs and you have a wide array of devices and clients using them. Then you need to upgrade an end point or change them in a meaningful way. Now what? That's the conversation I dive into over the next hour with Stanislav Zmiev. We're talking about Versioning APIs.Episode sponsors Neo4j Sentry Error Monitoring, Code TALKPYTHON Talk Python Courses Links from the show Stanislav Zmiev: github.com Monite: monite.com Cadwyn: github.com Stripe API Versioning:

en-us

01:06:16

#449: Building UIs in Python with FastUI

Talk Python To Me ·

2024/02/13

Building web UIs in Python has always been in interesting proposition. On one end, we have a the full web design story with artisanal HTML and CSS. On another end there are several Python platforms that aim to the bring RAD, rapid app development, style of building with Python. Those can be great, and I've covered a couple of them, but they usually reach a limit on what they can do or how they integrate with the larger web ecosystem. On this episode, we have Samuel Colvin to share his latest

en-us

00:58:46

#448: Full-Time Open Source Devs Panel

Talk Python To Me ·

2024/02/08

So you've created a Python-based open source project and it's started to take off. You're getting contributors, lots of buzz in the podcast space, and more. But you have that day job working on Java. How do you make the transition from popular hobby project to full time job? After all, you are giving away your open source project for free, right? Well, on this episode, I have put together an amazing panel of guests who all have done exactly this: Turned their project into full time work and even

en-us

01:11:09

#447: Parallel Python Apps with Sub Interpreters

Talk Python To Me ·

2024/02/03

It's an exciting time for the capabilities of Python. We have the Faster CPython initiative going strong, the recent async work, the adoption of typing and on this episode we discuss a new isolation and parallelization capability coming to Python through sub-interpreters. We have Eric Snow who spearheaded the work to get them added to Python 3.12 and is working on the Python API for 3.13 along with Anthony Shaw who has been pushing the boundaries of what you can already do with

en-us

00:48:09

#446: Python in Excel

Talk Python To Me ·

2024/01/26

Why is Python so popular? There is plenty of room for debate on this but one solid reason is it's easy to adopt, easy to use, and caters to people who are not quite developers/data scientists but need to do some computing. Do you know where there largest untapped set of that group hang out? Excel. That's why it's super exciting that Python is now going to be built directly into Excel. Just go into a cell and type =PY and you're off writing full Python 3 code that is backed by a lite Anaconda

en-us

00:42:25

#445: Inside Azure Data Centers with Mark Russinovich

Talk Python To Me ·

2024/01/19

When you run your code in the cloud, how much do you know about where it runs? I mean, the hardware it runs on and the data center it runs in? There are just a couple of hyper-scale cloud providers in the world. This episode is a very unique chance to get a deep look inside one of them: Microsoft Azure. Azure is comprised of over 200 physical data centers, each with 100,000s of servers. A look into how code runs on them is fascinating. Our guide for this journey will be Mark Russinovich. Mark is the

en-us

00:54:59

#444: The Young Coder's Blueprint to Success

Talk Python To Me ·

2024/01/02

Are you early in your software dev or data science career? Maybe it hasn't even really started yet and you're still in school. On this episode we have Sydney Runkle who has had a ton of success in the Python space and she hasn't even graduated yet. We sit down to talk about what she's done and might do differently again to achieve that success. It's "The Young Coder's Blueprint to Success" on episode 444 of Talk Python To Me. Episode sponsors Talk Python Courses Links from the show Sydney

en-us

00:35:15

#443: Python Bytes Crossover 2023

Talk Python To Me ·

2023/12/29

Special crossover episode of Python Bytes to wrap up 2023. Topics include: Michael #1: Hatch v1.8 Brian #2: svcs : A Flexible Service Locator for Python Michael #3: Steering Council 2024 Term Election Results Brian #4: Python protocols. When to use them in your projects to abstract and decoupling ExtrasJoke: Joke: The dream is dead? Episode sponsors Posit Talk Python Courses

en-us

01:00:01

#442: Ultra High Speed Message Parsing with msgspec

Talk Python To Me ·

2023/12/14

If you're a fan of Pydantic or dataclasses, you'll definitely be interested in this episode. We are talking about a super fast data modeling and validation framework called msgspec. Some of the types in here might even be better for general purpose use than Python's native classes. Join me and Jim Crist-Harif to talk about his data exchange framework, mspspec. Episode sponsors Posit Talk Python Courses Links from the show Jim Crist-Harif: jcristharif.com Jim @ GitHub: github.com Jim @ Mastdon:

en-us

01:07:14

#441: Python = Syntactic Sugar?

Talk Python To Me ·

2023/12/06

You've probably heard the term "syntactic sugar", that is, syntax within a programming language that is designed to make things easier to read or to express. It makes the language "sweeter" for human use. It turns out Brett Cannon has spent 2 years diving into and writing about Python's sweet language features and how they really work down inside CPython. He joins me on the show today to dive into a few of the more relevant posts he's written about it. Episode sponsors Talk Python Courses Links

en-us

00:58:52

#440: Talking to Notebooks with Jupyter AI

Talk Python To Me ·

2023/11/30

We all know that LLMs and generative AI has been working its way into many products. It's Jupyter's turn to get a really awesome integration. We have David Qiu here to tell us about Jupyter AI. Jupyter AI provides a user-friendly and powerful way to apply generative AI to your notebooks. It lets you choose from many different LLM providers and models to get just the help you're looking for. And it does way more than just a chat pane in the UI. Listen to find out. Episode sponsors Posit Talk Python

en-us

00:59:04

#439: Pixi, A Fast Package Manager

Talk Python To Me ·

2023/11/22

On this episode we have Wolf Vollprecht and Ruben Arts from the pixi project here to talk about pixi, a high performance package manager for Python and other languages that actually manages Python itself too. They have a lot of interesting ideas on where Python packaging should go and are putting their time and effort behind them. Will pixi become your next package manager? Listen in to find out. Episode sponsors Posit Python Tutor Talk Python Courses Links from the show Guests Wolf Vollprecht:

en-us

01:04:55

#438: Celebrating JupyterLab 4 and Jupyter 7 Releases

Talk Python To Me ·

2023/11/16

Jupyter Notebooks and Jupyter Lab have to be one of the most important parts of Python when it comes to bring new users to the Python ecosystem and certainly for the day to day work of data scientists and general scientists who have made some of the biggest discoveries of recent times. And that platform has recently gotten a major upgrade with JupyterLab 4 released and Jupyter Notebook being significantly reworked to be based on the changes from JupyterLab as well. We have an excellent panel of

en-us

556 results

Similar Podcasts

Two Blokes Talking Tech

Trevor Long and Stephen Fenech

TechCrunch Industry News

TechCrunch

The Good Tech Companies

HackerNoon

Reflections

Livewire Labs

Ciao, Internet! con Matteo Flora

Matteo Flora