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    News

    The Python Podcast.__init__

    The podcast about Python and the people who make it great

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    Copyright: © 2023 Boundless Notions, LLC.

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    Latest Episodes:
    Weblate with Michal Čihař Dec 17, 2016
    Show notes

    Summary

    Adding translations to our projects makes them usable in more places by more people which, ultimately, makes them more valuable. Managing the localization process can be difficult if you don’t have the right tools, so this week Michal čihař tells us about the Weblate project and how it simplifies the process of integrating your translations with your source code.

    Brief Introduction

    • Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great.
    • I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable.
    • When you’re ready to launch your next project you’ll need somewhere to deploy it. Check out Linode at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for running your awesome app.
    • You’ll want to make sure that your users don’t have to put up with bugs, so you should use Rollbar for tracking and aggregating your application errors to find and fix the bugs in your application before your users notice they exist. Use the link rollbar.com/podcastinit to get 90 days and 300,000 errors for free on their bootstrap plan.
    • Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch.
    • To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers
    • Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas.
    • Your host as usual is Tobias Macey and today I’m interviewing Michal Čihař about Weblate

    Interview with Michal Čihař

    • Introductions
    • How did you get introduced to Python?
    • Can you explain what Weblate is and the problem that you were trying to solve by creating it?
    • What are the benefits of using Weblate over other tools for localization and internationalization?
    • One of the advertised features of Weblate is integration with git and mercurial. Can you explain how that works and what a typical translation workflow looks like both for a developer and a translator?
    • Given that part of the focus for the tool is to allow for community translation, how do you simplify the experience for first time contributors?
    • I understand that Weblate is written as a django application. Is it possible to use Weblate with other Web frameworks or non-web projects?
      • Can this be used with projects implemented in other programming laguages? Are there any capabilities that are lot in this scenario?

    • Why should developers and product managers be concerned with localizing an application? How does Weblate help to reduce the level of investment necessary for such an undertaking?

    • What are some of the biggest difficulties that you have encountered while building and maintaining Weblate?

    • What are the most common problems that you see people encounter on both the translator and developer side when dealing with internationalization and localization?

    Keep In Touch

    • Weblate.org
    • Facebook
    • Twitter
    • GitHub

    Picks

    • Tobias
      • War Dogs

    • Michal
      • Jordi’s Chocolate

    Links

    • L20N

    The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

    SpaCy with Matthew Honnibal Dec 11, 2016
    Show notes

    Summary

    As the amount of text available on the internet and in businesses continues to increase, the need for fast and accurate language analysis becomes more prominent. This week Matthew Honnibal, the creator of SpaCy, talks about his experiences researching natural language processing and creating a library to make his findings accessible to industry.

    Brief Introduction

    • Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great.
    • I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable.
    • When you’re ready to launch your next project you’ll need somewhere to deploy it. Check out Linode at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for running your awesome app.
    • You’ll want to make sure that your users don’t have to put up with bugs, so you should use Rollbar for tracking and aggregating your application errors to find and fix the bugs in your application before your users notice they exist. Use the link rollbar.com/podcastinit to get 90 days and 300,000 errors for free on their bootstrap plan.
    • Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch.
    • To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers
    • Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas.
    • Your host as usual is Tobias Macey and today I’m interviewing Matthew Honnibal about SpaCy and Explosion.AI

    Interview with Matthew Honnibal

    • Introductions
    • How did you get introduced to Python?
    • Can you start by sharing what SpaCy is and what problem you were trying to solve when you created it?
    • Another project for natural language processing that has been part of the Python ecosystem for a number of years is the Natural Language Tool Kit (NLTK). How does SpaCy differ from the NLTK and are there any cases where that would be the better choice?
    • How much knowledge of NLP and computational linguistics is necessary to be able to use SpaCy?
    • What does the internal design and architecture of SpaCy look like and what are the biggest challenges associated with its development to date and into the future?
    • One of the projects that you have built around SpaCy which I think is really cool and caught my attention when I first found your project is the displaCy visualization tool. Can you explain what that is and why you think it is important?
    • What are some kinds of applications where SpaCy would be useful which might not be obvious candidates for it?
    • Why is speed such an important focus for an NLP library?
    • One of the ways that you have been able to gain a speed boost is through releasing the GIL and allowing for true parallelism via Cython. How have you managed to ensure that this doesn’t lead to data races and program failures?
    • Building on the success of SpaCy you founded a company called Explosion AI. Can you explain what your goals are for this endeavor and the kinds of services that you are offering?
    • What are some of the most interesting uses of SpaCy that you have seen?
    • What do you have planned for the future of SpaCy?

    Keep In Touch

    • Twitter
      • Matthew
      • SpaCy
      • Explosion AI
    • Mailing List
    • Explosion AI Contact Form

    Picks

    • Tobias
      • Zoom H4N Pro
      • Shure SM58

    Links

    • Reddit sense2vec demo
    • DisplaCy
    • DisplaCy Entity Visualizer
    • SpaCy Showcase
    • NLTK
    • Chartbeat
    • Cytora

    The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA


    Kinto with Alexis Metaireau and Mathieu Leplatre Dec 04, 2016
    Show notes

    Summary

    Are you looking for a backend as a service offering where you have full control of your data? Look no further than Kinto! This week Alexis Metaireau and Mathieu Leplatre share the story of how Kinto was created, how it works under the covers, and some of the ways that it is being used at Mozilla and around the web.

    Brief Introduction

    • Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great.
    • I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable.
    • When you’re ready to launch your next project you’ll need somewhere to deploy it. Check out Linode at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for running your awesome app.
    • You’ll want to make sure that your users don’t have to put up with bugs, so you should use Rollbar for tracking and aggregating your application errors to find and fix the bugs in your application before your users notice they exist. Use the link rollbar.com/podcastinit to get 90 days and 300,000 errors for free on their bootstrap plan.
    • Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch.
    • To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers
    • Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas.
    • Your host as usual is Tobias Macey and today I’m interviewing Alexis Metaireau and Mathieu Leplatre about Kinto

    Interview with Alexis and Mathieu

    • Introductions
    • How did you get introduced to Python?
    • What is Kinto and how did it get started?
    • What does the internal architecture of Kinto look like?
    • Given that the primary data format being stored is JSON, why did you choose PostGreSQL as your storage backend instead of a NoSQL document database such as CouchDB?
    • Synchronization of transactions from multiple users, including offline first support, is a difficult problem. How have you approached that in Kinto and what are some of the alternate solutions that were considered?
    • Designing usable APIs is a complicated subject. What features did you prioritize while creating the interfaces to Kinto?
    • What are some of the most innovative uses of Kinto that you have seen?
    • What are some of the biggest challenges that you have faced while building Kinto?
    • What do you have planned for the future of Kinto?

    Keep In Touch

    • Kinto
      • Github
      • Mailing List

    • Alexis
      • Email

    • Mathieu
      • Twitter
      • Email

    Picks

    • Tobias
      • What are you working on this week with Python?

    • Alexis
      • Miles Davis – Bitches Brew

    • Mathieu
      • Sigal
      • Subliminal

    Links

    • Pocket
    • CouchDB
    • OpenAPI
    • WebCrypto
    • Formbuilder
    • Firebase
    • Kinto Comparison Table
    • Mozilla Persona
    • Portier

    The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

    Plone with Eric Steele Nov 26, 2016
    Show notes

    Summary

    Plone is one of the first CMS projects to be built using Python and it is still being actively developed. This week Eric Steele, the release manager for Plone, tells us about how it got started, how it is architected, and how the community is one of its greatest strengths

    Brief Introduction

    • Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great.
    • I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable.
    • When you’re ready to launch your next project you’ll need somewhere to deploy it. Check out Linode at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for running your awesome app.
    • You’ll want to make sure that your users don’t have to put up with bugs, so you should use Rollbar for tracking and aggregating your application errors to find and fix the bugs in your application before your users notice they exist. Use the link rollbar.com/podcastinit to get 90 days and 300,000 errors for free on their bootstrap plan.
    • Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch.
    • To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers
    • Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas.
    • Your host as usual is Tobias Macey and today I’m interviewing Eric Steele about the Plone CMS.

    Interview with Eric Steele

    • Introductions
    • How did you get introduced to Python?
    • Can you start by explaining a bit about what Plone is and how you got involved with it?
    • How did the Plone project get started and how has it evolved over the years?
    • What makes Plone unique among the myriad CMS tools that are available and which of them do you consider to be direct competitors?
    • Plone has managed to keep an impressive track record of security. What are some of the key features that enable that?
    • I know that for much of its history, the default data storage for plone was the ZODB (Zope Object DataBase). How would you describe its benefits and drawbacks for someone who is familiar with a relational database?
    • Plone is one of the most long-lived Python projects that I am aware of. What are some of the most difficult maintenance challenges that you have encountered over the years of its existence?
    • What does the internal architecture of Plone look like?
    • One of the major tenets of the project is the ability to install extensions. What are some of the most interesting plugins that you are aware of?
    • What kinds of projects are Plone best suited for?
    • What does the workflow look like for a user of Plone?
    • What are some of the most interesting uses of Plone that you have seen?
    • What are the biggest challenges facing the Plone project and community as development and deployment paradigms continue to change?

    Keep In Touch

    • Plone
      • Website
      • Forum
      • IRC: #plone on freenode.net

    • Eric
      • Twitter
      • E-mail

    Picks

    • Tobias
      • The Inquiry (podcast)
      • PyCon US

    • Eric
      • Really Bad Chess
      • Home Assistant

    Links

    • Zope
    • ZEO
    • PloneFormGen
    • Rapido
    • CastleCMS
    • Plumi
    • Bika LIMS
    • Quaive (Plone Intranet)
    • Open Advice

    The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

    .

    Retrospective Nov 19, 2016
    Show notes

    Summary

    In this episode Chris and I look back at the past 83 episodes of the show and talk about what we learned, what we’ve enjoyed, and some of the highlights.

    Brief Introduction

    • Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great.
    • I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable.
    • When you’re ready to launch your next project you’ll need somewhere to deploy it. Check out Linode at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for running your awesome app.
    • You’ll want to make sure that your users don’t have to put up with bugs, so you should use Rollbar for tracking and aggregating your application errors to find and fix the bugs in your application before your users notice they exist. Use the link rollbar.com/podcastinit to get 90 days and 300,000 errors for free on their bootstrap plan.
    • Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch.
    • To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers
    • Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas.
    • Your hosts as usual are Tobias Macey and Chris Patti
    • Today we’re interviewing each other about the past year and a half of the show.

    Interview with Tobias and Chris

    • Introductions
    • What have been some of the most unexpected or surprising aspects of the show for you during the past year and a half? – Tobias
    • What are your top three favorite shows so far and why? – Chris
    • If you could have a longer conversation with any of the past guests, who would you pick? – Tobias
    • What has doing the show meant to you? – Chris
    • What have you learned while doing the show that you wish you had known at the start? – Tobias
    • How has the production process evolved since the beginning of the show? – Chris

    Chris Leaving the Show – Chris

    • Tobias and I started new jobs (At MIT Office of Digital Learning and Amazon Web Services, respectively)
    • We’re much, much busier these days, making coordination difficult
    • Tobias is ready to take the show solo and I (Chris) support him in this
    • Chris still plans to support the show as an avid fan 🙂

    Keep In Touch

    • Chris’s Contact Info

    Picks

    • Tobias
      • Locust

    • Chris
      • StaSh – Shell for Pythonista
      • Producing a Podcast
      • The Python Community

    The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

    HouseCanary with Travis Jungroth Nov 12, 2016
    Show notes

    Summary

    Housing is something that we all have experience with, but many don’t understand the complexities of the market. This week Travis Jungroth talks about how HouseCanary uses data to make the business of real estate more transparent.

    Brief Introduction

    • Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great.
    • I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable.
    • When you’re ready to launch your next project you’ll need somewhere to deploy it. Check out Linode at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for running your awesome app.
    • You’ll want to make sure that your users don’t have to put up with bugs, so you should use Rollbar for tracking and aggregating your application errors to find and fix the bugs in your application before your users notice they exist. Use the link rollbar.com/podcastinit to get 90 days and 300,000 errors for free on their bootstrap plan.
    • Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch.
    • To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers
    • Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas.
    • Your host as usual is Tobias Macey and today I’m interviewing Travis Jungrot about HouseCanary, a company that is using Python and machine learning to help you make real estate decisions.

    Interview with Travis Jungroth

    • Introductions
    • How did you get introduced to Python?
    • What is HouseCanary and what problem is it trying to solve?
    • Who are your customers?
    • Is it possible to get data and predictions at the neighborhood level for individual homebuyers to use in their purchasing decisions?
    • What do you use for your data sources and how do you validate their accuracy?
      • What are some of the sources of bias that are present in your data and what strategies are you using to account for them?

    • Can you describe where Python is leveraged in your environment?

    • What are some of the biggest software design and architecture challenges that you are facing while you continue to grow?

    • What are the areas where Python isn’t the right choice and which languages are used in its place?

    • What are the biggest predictors of future value for residential real estate?

    • Can your system be used to identify risks associated with the housing market, similar to those seen in the bubble that triggered the 2008 economic failure?

    • What are some of the most interesting details that you have discovered about real estate and housing markets while working with HouseCanary?

    Keep In Touch

    • HouseCanary
      • Website
      • Twitter

    • Travis
      • Twitter
      • Github

    Picks

    • Tobias
      • Railsea by China Miéville
      • Kraken by China Miéville

    • Travis
      • DDT
      • On Writing Well by William Zinser

    Links

    • Hacking Secret Ciphers with Python

    The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

    Mycroft with Steve Penrod Nov 05, 2016
    Show notes

    Summary

    Speech is the most natural interface for communication, and yet we force ourselves to conform to the limitations of our tools in our daily tasks. As computation becomes cheaper and more ubiquitous and artificial intelligence becomes more capable, voice becomes a more practical means of controlling our environments. This week Steve Penrod shares the work that is being done on the Mycroft project and the company of the same name. He explains how he met the other members of the team, how the project got started, what it can do right now, and where they are headed in the future.

    Brief Introduction

    • Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great.
    • I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable.
    • When you’re ready to launch your next project you’ll need somewhere to deploy it. Check out Linode at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for running your awesome app.
    • You’ll want to make sure that your users don’t have to put up with bugs, so you should use Rollbar for tracking and aggregating your application errors to find and fix the bugs in your application before your users notice they exist. Use the link rollbar.com/podcastinit to get 90 days and 300,000 errors for free on their bootstrap plan.
    • Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch.
    • To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers
    • Join our community! Visit discourse.pythonpodcast.com to talk to previous guests and other listeners of the show.
    • Your host as usual is Tobias Macey and today I’m interviewing Steve Penrod about the company and project Mycroft, a voice controlled, AI powered personal assistant written in Python.

    Interview with Steve Penrod

    • Introductions
    • How did you get introduced to Python?
    • Can you start by describing what Mycroft is and how the project and business got started?
    • How is Mycroft architected and what are the biggest challenges that you have encountered while building this project?
    • What are some of the possible applications of Mycroft?
    • Why would someone choose to use Mycroft in place of other platforms such as Amazon’s Alexa or Google’s personal assistant?
    • What kinds of machine learning approaches are being used in Mycroft and do they require a remote system for execution or can they be run locally?
    • What kind of hardware is needed for someone who wants to build their own Mycroft and what does the install process look like?
    • It can be difficult to run a business based on open source. What benefits and challenges are introduced by making the software that powers Mycroft freely available?
    • What are the mechanisms for extending Mycroft to add new capabilities?
    • What are some of the most surprising and innovative uses of Mycroft that you have seen?
    • What are the long term goals for the Mycroft project and the business that you have formed around it?

    Keep In Touch

    • Website

    Picks

    • Tobias
      • yip
      • Myths and Legends Podcast

    • Steve
      • Ethiopian Cuisine
        • Blue Nile in KC

      • Kansas City Barbecue
        • Joe’s KC



    Links

    • Google Home
    • Tom Waits – Heart Attack & Vine
    • mycroft.ai
    • FLITE
    • Vocalid
    • Vocalid TED Talk
    • PocketSphinx
    • GE FirstBuild
    • Sonar GNU Linux

    The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

    Annapoornima Koppad Oct 29, 2016
    Show notes

    Summary

    Annapoornima Koppad is a director of the PSF, founder of the Bangalore chapter of PyLadies, and is a Python instructor at the Indian Institute of Science. In this week’s episode she talks about how she got started with Python, her experience running the PyLadies meetup, and working with the PSF.

    Brief Introduction

    • Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great.
    • I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable.
    • When you’re ready to launch your next project you’ll need somewhere to deploy it. Check out Linode at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for running your awesome app.
    • You’ll want to make sure that your users don’t have to put up with bugs, so you should use Rollbar for tracking and aggregating your application errors to find and fix the bugs in your application before your users notice they exist. Use the link rollbar.com/podcastinit to get 90 days and 300,000 errors for free on their bootstrap plan.
    • Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch.
    • To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers
    • Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas.
    • Your hosts as usual are Tobias Macey and Chris Patti
    • Today we’re interviewing Annapoornima Koppad about her career with Python and her experiences running the PyLadies chapter in Bangalore, India and being a director for the Python Software Foundation.

    Interview with Annapoornima Koppad

    • Introductions
    • How did you get introduced to Python? – Tobias
    • I noticed that you have been freelancing for several years now. How much of that has been in Python and how has that fed back into your other activities? – Tobias
    • While preparing for this interview I came across the book that you self-published on Amazon. What was your motivation for writing it and who is the target audience? – Tobias
    • Can you tell us about your experience with starting the PyLadies group in Bangalore? What were some of the biggest challenges that you encountered and how have you approached the task of growing awareness and membership of the group? – Tobias
    • You recently started teaching Python at the Indian Institute of Science. What kinds of subject matter do you cover in your lessons? – Tobias
    • What is it about Python and its community that has inspired you to dedicate so much of your time to contributing back to it? – Tobias
    • In what ways would you like to see the Python ecosystem improve? – Tobias
    • You were voted in as a director of the Python Software Foundation in the most recent election. Can you share what responsibilities that entails? – Tobias
    • What would you like to achieve with your time in the PSF? – Tobias

    Keep In Touch

    • PyLadies Bangalore Meetup
    • Blog
    • Email
    • Twitter

    Picks

    • Tobias
      • Fluentd

    • Annapoornina
      • The Lord of The Rings by J.R.R. Tolkien
      • Storks
      • Food Street

    The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

    Python for GIS with Sean Gillies Oct 22, 2016
    Show notes

    Summary

    Location is an increasingly relevant aspect of software systems as we have more internet connected devices with GPS capabilities. GIS (Geographic Information Systems) are used for processing and analyzing this data, and fortunately Python has a suite of libraries to facilitate these endeavors. This week Sean Gillies, an author and contributor of many of these tools, shares the story of his career and contributions, and the work that he is doing at MapBox.

    Brief Introduction

    • Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great.
    • I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable.
    • When you’re ready to launch your next project you’ll need somewhere to deploy it. Check out Linode at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for running your awesome app.
    • You’ll want to make sure that your users don’t have to put up with bugs, so you should use Rollbar for tracking and aggregating your application errors to find and fix the bugs in your application before your users notice they exist. Use the link rollbar.com/podcastinit to get 90 days and 300,000 errors for free on their bootstrap plan.
    • Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch.
    • To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers
    • Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas.
    • Your host as usual is Tobias Macey
    • Today I’m interviewing Sean Gillies about writing Geographic Information Systems in Python.

    Interview with Sean Gillies

    • Introductions
    • How did you get introduced to Python?
    • Can you start by describing what Geographic Information Systems are and what kinds of projects might take advantage of them?
    • How did you first get involved in the area of GIS and location-based computation?
    • What was the state of the Python ecosystem like for writing these kinds of applications?
    • You have created and contributed to a number of the canonical tools for building GIS systems in Python. Can you list at least some of them and describe how they fit together for different applications?
    • What are some of the unique challenges associated with trying to model geographical features in a manner that allows for effective computation?
      • How does the complexity of modeling and computation scale with increasing land area?

    • Mapping and cartography have an incredibly long history with an ever-evolving set of tools. What does our digital age bring to this time-honored discipline that was previously impossible or impractical?

    • To build accurate and effective representations of our physical world there are a number of domains involved, such as geometry and geography. What advice do you have for someone who is interested in getting started in this particular niche?

    • What level of expertise would you advise for someone who simply wants to add some location-aware features to their application?

    • I know that you joined Mapbox a little while ago. Which parts of their stack are written in Python?

    • What are the areas where Python still falls short and which languages or tools do you turn to in those cases?

    Keep In Touch

    • Email
    • Twitter

    Picks

    • Tobias
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    Links

    • GDAL
    • SWIG
    • QGIS
    • Shapefiles
    • Shapely
    • Fiona
    • Raster File
    • GEOS
    • Rasterio
    • PostGIS
    • RTree
    • GeoPandas
    • GeoJSON
    • Orthorectification
    • Mapbox
    • SCONS
    • Mapnik

    The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

    K Lars Lohn Oct 15, 2016
    Show notes

    Summary

    K Lars Lohn has had a long and varied career, spending his most recent years at Mozilla. This week he shares some of his stories about getting involved with Python, his work with Mozilla, and his inspiration for the closing keynote at PyCon US 2016. He also elaborates on the intricate mazes that he draws and his life as an organic farmer in Oregon.

    Brief Introduction

    • Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great.
    • I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com
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    • We also have a new sponsor this week. Rollbar is a service for tracking and aggregating your application errors so that you can find and fix the bugs in your application before your users notice they exist. Use the link rollbar.com/podcastinit to get 90 days and 300,000 errors for free on their bootstrap plan.
    • Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch.
    • To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers
    • Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas.
    • Your host as usual is Tobias Macey
    • Today we’re interviewing K Lars Lohn about his career, his art, and his work with Mozilla

    Interview with K Lars Lohn

    • Introductions
    • How did you get introduced to Python?
    • You have an interesting pair of articles on your website that attempt to detail how you perceive code and why you think that formatting should be configured in a manner analogous to CSS. Can you explain a bit about how your particular perception affects the way that you program?
    • On your website you have some images of incredibly detailed artwork that are actually mazes. Can you describe some of your creation process for those?
    • What is it about mazes that keeps you interested in them and how did you first start using them as a form of visual art?
    • At Mozilla you have helped to create a project called Socorro which utilizes complexity analysis for correlating stacktraces. How did you conceive of that approach to error monitoring?
    • Can you describe how Socorro is architected and how it works under the covers?
    • At this year’s PyCon US you presented the closing keynote and it was one of the most engaging talks that I’ve seen. Where did you get the inspiration for the content and the mixed media approach?
    • For anyone who hasn’t seen it, you managed to weave together a very personal story with a musical performance, and some applications of complexity analysis into a seamless experience. How much did you have to practice before you felt comfortable delivering that in front of an audience?
    • In addition to your technical career you are also very focused on living in a manner that is sustainable and in tune with your environment. What kinds of synergies and conflicts exist between your professional and personal philosophies?

    Keep In Touch

    • Website
    • Twitter

    Picks

    • Tobias
      • Terry Pratchett

    • Lars
      • Bach’s Tocatta & Fugue in D Minor

    Links

    • Functional Geekery Episode 65 – Morten Kromberg talks about APL
    • K Lars Lohn’s Portfolio
    • The Well Tempered API
    • Temple Grandin

    The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

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