Talk Python To Me - Python Conversations For Passionate Developers



Talk Python to Me is a weekly podcast hosted by Michael Kennedy. The show covers a wide array of Python topics as well as many related topics (e.g. MongoDB, AngularJS, DevOps).The format is a casual 45 minute conversation with industry experts.


  • #314 Ask us about modern Python projects and tools

    #314 Ask us about modern Python projects and tools

    30/04/2021 Duration: 01h04min

    Here's an episode that I did not see coming! Sebastian Witowski and I put together a live stream ask me anything (AMA) as a follow up to some of the ideas around his recent course, Modern Python Projects. We dove deep in comparisons of Poetry vs. pip vs pyenv and answered questions like do you need to use Docker? When should you? and so on. After the AMA was over, I realized it would also make a great podcast too. So here go you! This is our AMA with Sebastian around all the ideas of modern Python workflows. I hope you enjoy it! Links from the show Sebastian on Twitter: @SebaWitowski Modern Python Projects Course: YouTube Live Stream edition: Sponsors 45Drives Talk Python Training

  • #313 Automate your data exchange with PyDantic

    #313 Automate your data exchange with PyDantic

    22/04/2021 Duration: 01h58s

    Data validation and conversion is one of the truly tricky part of getting external data into your app. This might come from a REST API, a file on disk, or somewhere else. This includes checking for required fields, correct data types, converting from compatible types (for example, strings to numbers), and much more. Pydantic is one of the best ways to do this in modern Python using dataclass-like constructs and type annotations to make it all seamless and automatic. We welcome Samuel Colvin, creator of Pydantic, to the show. We'll dive into the history of Pydantic and it's many uses and benefits. Links from the show Samuel on Twitter: @samuel_colvin pydantic: Contributing / help wanted @ pydantic: python-devtools package: IMPORTANT: PEP 563, PEP 649 and the future of pydantic #2678 GitHub issue on Typing: YouTube live stream video: Sponsors 45Drives Talk Python Training

  • #312 Python Apps that Scale to Billions of Users

    #312 Python Apps that Scale to Billions of Users

    18/04/2021 Duration: 01h17min

    How do you build Python applications that can handling literally billions of requests. I has certainly been done to great success with places like YouTube (handling 1M requests / sec) and Instagram as well as internal pricing APIs at places like PayPal and other banks. While Python can be fast at some operations and slow at others, it's generally not so much about language raw performance as it is about building an architecture for this scale. That's why it's great to have Julian Danjou on the show today. We'll dive into his book "The Hacker's Guide to Scaling Python" as well as some of his performance work he's doing over at Datadog. Links from the show Julian on Twitter: @juldanjou Scaling Python Book: DD Trace production profiling code: Futurist package: Tenacity package: Cotyledon package: Load Testing: Datadog: daiquiri package: YouTube Live Stream Vide

  • #311 Get inside the .git folder

    #311 Get inside the .git folder

    08/04/2021 Duration: 01h12min

    These days Git is synonymous with source control itself. Rare are the current debates of whether to use git vs SVN vs some fossil like SourceSafe vs you name it. But do you know how Git works? What about it's internals? I'm sure you've seen a .git folder in your project's root. But to most folks, it's a black box. In this episode, you'll meet Rob Richardson. He's going pop the lid on that black box as we dive into git internals and the .git folder, among other things source control. Links from the show Rob's Site: Rob on Twitter: @rob_rich YouTube Live Stream Recording: Talk at PWC: Git Explorer App: Pre-commit framework: .gitignore project: git-hooks project: Git Source Control: SVN: Oh My Posh Shell: Oh My ZSH Shell: Oh !*#! Git Site: oh*!#! Work-safe version: Sponsors Talk Python Training

  • #310 AMA (Ask Me Anything) with Michael

    #310 AMA (Ask Me Anything) with Michael

    02/04/2021 Duration: 01h02min

    The tables have turned and this time I'm the guest and you all are the hosts. I get a ton of questions over email and twitter asking me about my thoughts on various trends, tools, and behind the scenes questions around Talk Python. So I've enlisted two listeners who are up for hosting a conversation and taking questions from you all. Thank you to Patrik Hlobil and Kim van Wyk who guest host this episode where I answer a bunch of audience questions in this ask my anything. Links from the show Patrik on Twitter: @hlobilpatrik pandas-bokeh (Patrik's project): Kim on Twitter: @kim_vanwyk Kim's website: YouTube Live Stream Recording: Future Talk Python Live Streams: Highlighted packages Click: PyVISA: pySerial: Sponsors OutSystems Platform Talk Python Training

  • #309 What ML Can Teach Us About Life: 7 Lessons

    #309 What ML Can Teach Us About Life: 7 Lessons

    26/03/2021 Duration: 55min

    Machine learning and data science are full of best practices and important workflows. Can we extrapolate these to our broader lives? Eugene Yan and I give it a shot on this slightly more philosophical episode of Talk Python To Me. The seven lessons: 1. Data cleaning: Assess what you consume 2. Low vs. high signal data: Seek to disconfirm and update 3. Explore-Exploit: Balance for greater long-term reward 4. Transfer Learning: Books and papers are cheat codes 5. Iterations: Find reps you can tolerate, and iterate fast 6. Overfitting: Focus on intuition and keep learning 7. Ensembling: Diversity is strength Links from the show Eugene Yan: @eugeneyan What Machine Learning Can Teach Us About Life - 7 Lessons article: Maker's schedule vs. manager's schedule: Naval Podcast: How to Write Better with The Why, What, How Framework Resources mentioned towards the end of the podcast: N

  • #308 Docker for Python Developers (2021 Edition)

    #308 Docker for Python Developers (2021 Edition)

    20/03/2021 Duration: 01h08min

    Docker is one of the core elements of developing Python applications in consistent ways as well as running them across different hardware universally. On this episode, you'll meet Peter McKee from Docker. He's here to catch us up on what's happening in the Docker universe for Python developers. Links from the show YouTube Live Stream: Peter on Twitter: @pmckee Docker: Docker Roadmap: It works on my machine certification: Test Containers Package: Sponsors Datadog Talk Python Training

  • #307 Python from 1994 to 2021, my how youve grown!

    #307 Python from 1994 to 2021, my how you've grown!

    11/03/2021 Duration: 01h11min

    Python has changed a lot since its inception 30 years ago. On this episode, you'll meet Paul Everitt and Barry Warsaw. They have both been involved with Python since the very first Python conference (called SPAM1 even). We discuss how it's changed but also how so many of the pressures and ideas from the very early days are still playing out in 2021. I'm sure you'll enjoy all the stories and reminiscing. Links from the show Paul on Twitter: @paulweveritt Barry on Twitter: @pumpichank Episode live stream: A Python Developer Explores Apple's M1 video: Let's Build a Fast, Modern Python API with FastAPI webcast: 1997: Python is eating the world: How one developer's side project became the hottest programming language on the planet: Some of Barry's music: Barry’s early history of Python slides from BayPiggies: Backstory and liner notes for the Zen of Python song: Zen of Python song:

  • #306 Scaling Python and Jupyter with ZeroMQ

    #306 Scaling Python and Jupyter with ZeroMQ

    05/03/2021 Duration: 01h05min

    When we talk about scaling software threading and async get all the buzz. And while they are powerful, using asynchronous queues can often be much more effective. You might think this means creating a Celery server, maybe running RabbitMQ or Redis as well. What if you wanted this async ability and many more message exchange patterns like pub/sub. But you wanted to do zero of that server work? Then you should check out ZeroMQ. ZeroMQ is to queuing what Flask is to web apps. A powerful and simple framework for you to build just what you need. You're almost certain to learn some new networking patterns and capabilities in this episode with our guest Min Ragan-Kelley to discuss using ZeroMQ from Python as well as how ZeroMQ is central to the internals of Jupyter Notebooks. Links from the show Min on Twitter: @minrk Simula Lab: Talk Python Binder episode: The ZeroMQ Guide: Binder: IPython for parallel computing: Messag

  • #305 Python community at Python Discord

    #305 Python community at Python Discord

    01/03/2021 Duration: 01h01min

    People often ask me how they can find a Python community to be part of. Maybe discussion forum or slack channel. This week, we look at one of the most active communities in Python Discord. It's Python, on a discord server. But it's more than that too. You'll meet Leon Sandøy who, along with a team of folks, runs Python Discord. Links from the show Leon on Twitter: @lemonsaurus_rex Leon on the web: Leon on GitHub: Python Discord: Python Discord's YouTube: Python Discord on Twitter: @pythondiscord Python Discord on GitHub: PEP 8 Song: YouTube Live Stream version of this show: Sponsors Linode Talk Python Training

  • #304 asyncio all the things with Omnilib

    #304 asyncio all the things with Omnilib

    21/02/2021 Duration: 01h50s

    The relatively recent introduction of async and await as keywords in Python have spawned a whole area of high performance, highly scalable frameworks and supporting libraries. One such library that has great async building blocks is Omnilib. On this episode, you'll meet John Reese. John is the creator of Omnilib, which includes packages such as aioitertools, aiomultiprocess, and aiosqlite. Join us as we async all the things. Links from the show Omnilib libraries and project: awesome-asyncio: unsync: Live Youtube Stream: Charities Power On: The Trevor Project: Sponsors Linode Talk Python Training

  • #303 Python for Astronomy with Dr. Becky

    #303 Python for Astronomy with Dr. Becky

    12/02/2021 Duration: 01h03min

    If you are involved in science or use computational tools in your work, you should be using code to solve your problem. On this episode, we have Dr. Becky Smethurst who's an astrophysicist at Oxford University. She uses Python to explore galaxies and black holes. Learn how she's using Python to make new discoveries at the cutting edge of research and dive into a couple of her YouTube videos aimed at spreading scientific truth in an entertaining wrapper. Links from the show Dr. Becky on Twitter: @drbecky_ Dr. Becky's YouTube channel: 5 ways I use code as an astrophysicist video: Astrophysicist reacts to funny space MEMES video: A day in the life of an Oxford University Astrophysicist: Book: Space: 10 things you should know: SpaceMemes Apple maps: image Otter space: image Eclipses: image Steals a cow: image Black holes: image YouTube live stream: Sponsors Linode CloudEnv Talk Python Training

  • #302 The Data Engineering Landscape in 2021

    #302 The Data Engineering Landscape in 2021

    04/02/2021 Duration: 01h04min

    I'm sure you're familiar with data science. But what about data engineering? Are these the same or how are they related? Data engineering is dedicated to overcoming data-processing bottlenecks, data cleanup, data flow and data-handling problems for applications that utilize lots of data. On this episode, we welcome back Tobias Macey to give us the 30,000 ft view of the data engineering landscape in 2021. Links from the show Live Stream Recordings: YouTube: Tobias Macey: Podcast.__init__: Data Engineering podcast: Designing Data-Intensive Applications Book: wally: lakeFS: A Beginner’s Guide to Data Engineering: Apache Airflow: Dagster: Prefect: #68 Crossing the streams with Podcast.__init__: dbt: Great Expectations: Dask: Meltano: Languages trends on StackOverflow: insights.stack

  • #301 Deploying and running Django web apps in 2021

    #301 Deploying and running Django web apps in 2021

    28/01/2021 Duration: 01h08min

    Have you been learning Django and now want to get your site online? Not sure the best way to host it or the trade offs between the various options? Maybe you want to make sure your Django site is secure. On this episode, I'm joined by two Django experts Will Vincent and Carlton Gibson to talk about deploying and running Django in production along with recent updates in Django 3.2 and beyond. Links from the show Guests Will Vincent: Carlton Gibson: @carltongibson Watch the live stream: Give me back my monolith: Carlton’s Button hosting platform: Django Software Foundation: Django News newsletter: Deployment Checklist: Environs 3rd party package for environment variables: Django Static Files & Templates: Learn Django: Configuring uWSGI for Production Deployment @ Bloomberg: Sponsors Square Linode Talk Python Training

  • #300 Building a data science startup (panel)

    #300 Building a data science startup (panel)

    22/01/2021 Duration: 01h06min

    You've heard that software developers and startups go hand-in-hand. But what about data scientists? Of course they! But how do you turn your data science skill set into a data science business skill set? What are some of the areas ripe for launching such a business into? On this episode, I welcome back 4 prior guests who have all walked their own version of this path and are currently running successful Python-based Data Science startups: * Ines Montani from Explosion AI * Matthew Rocklin from Coiled * Jonathon Morgan from Yonder AI * William Stein from Cocalc Links from the show Ines Montani Twitter: @_inesmontani Explosion AI: Matthew Rocklin Twitter: @mrocklin Coiled: Jobs @ Coiled: Jonathon Morgan Twitter: @jonathonmorgan Yonder AI: William Stein Twitter: @wstein389 CoCalc: Talk Python Live Streams: Sentry Promo Code: TALKPYTHON2021 Sponsors Sentry Error Monitoring, Code TALKPYTHON Linode Talk Pyth

  • #299 Personal search engine with datasette and dogsheep

    #299 Personal search engine with datasette and dogsheep

    17/01/2021 Duration: 01h01min

    In this episode, we'll be discussing two powerful tools for data reporting and exploration: Datasette and Dogsheep. Datasette helps people take data of any shape or size, analyze and explore it, and publish it as an interactive website and accompanying API. Dogsheep is a collection of tools for personal analytics using SQLite and Datasette. Imagine a unified search engine for everything personal in your life such as twitter, photos, google docs, todoist, goodreads, and more, all in once place and outside of cloud companies. On this episode we talk with Simon Willison who created both of these projects. He's also one of the co-creators of Django and we'll discuss some early Django history! Links from the show Datasette: Dogsheep: Datasheet newsletter: Video: Build your own data warehouse for personal analytics with SQLite and Datasette: Examples List: Personal data warehouses: Global power plants:

  • #298 Building ML teams and finding ML jobs

    #298 Building ML teams and finding ML jobs

    11/01/2021 Duration: 56min

    Are you building or running an internal machine learning team? How about looking for a new ML position? On this episode, I talk with Chip Huyen from Snorkel AI about building ML teams, finding ML positions, and teach ML at Stanford. Links from the show Chip on Twitter: @chipro Snorkel AI: Chip's Book Preview: handcalcs project: IBM Buzzword Bingo: Sponsors Datadog Linode Talk Python Training

  • #297 Python year in review (2020 edition)

    #297 Python year in review (2020 edition)

    28/12/2020 Duration: 01h10min

    2020 will be one for the history books, won't it? I've put together a great group to look back on 2020 - from the Python perspective. Join me along with Cecil Phillip, Ines Montani, Jay Miller, Paul Everitt, Reuven Lerner, Matt Harrison, and Brian Okken for a light-hearted and fun look back on the major Python events of 2020. Links from the show Video version of this episode: Guests Cecil Phillip: @cecilphillip Ines Montani: @_inesmontani Jay Miller: @kjaymiller Paul Everitt: @paulweveritt Reuven Lerner: @reuvenmlerner Matt Harrison: @__mharrison__ Brian Okken: @brianokken Sponsors Talk Python Training

  • #296 Python in F1 racing

    #296 Python in F1 racing

    23/12/2020 Duration: 01h05min

    Quick: Name the 3 most advanced engineering organizations you can think of? Maybe an aerospace company such as SpaceX or Boeing come to mind. Maybe you thought of CERN and the LHC. But in terms of bespoke engineering capabilities, you should certainly put the F1 racing teams on your list. These organizations appear as 20-30 people on a race day shown on TV. But in fact, the number of people back at the home base doing the engineering work can be over 500 employees. Almost every tiny part you see on these cars as well as the tools to maintain them are custom-built. The engineering problems solved are immense. Would it surprise you to know that Python is playing a major role here? On this episode, you'll meet Joe Borg who help pioneer Python's adoption at several F1 teams. Links from the show Joe's website: Joe on Twitter: @joedborg Racing Point F1 team: Scuderia Alpha Tauri F1 team: MicroK8s: Charmed Kubernetes: S

  • #295 GIS + Python

    #295 GIS + Python

    18/12/2020 Duration: 57min

    Geography is the study of places and the relationships between people and their environments. Often we think of maps, but maps are static. GIS gets interesting when you realize that we're studying and visualizing data flowing through these locations and communities. In this episode, you'll meet Silas Toms. He's an author of several Python GIS books and the host of The Mappist Hour podcast. Are you ready to dive into GIS with Python? Links from the show Silas on twitter Twitter: @loki_president Silas' Books: Mastering Geospatial Analysis with Python: Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter: ArcPy and ArcGIS – Geospatial Analysis with Python: ArcPy and ArcGIS - Second Edition: Automating ArcGIS for Desktop and ArcGIS Online with Python: The Mappyist Hour podcast: Packages GeoAlchemy ORM: Leaflet.js: Mapbox GL: Deck GL: Sponsors Talk Python

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