The Python Podcast.init

By Tobias MaceyTechnology Education

The Python Podcast.init episodes

December 24, 2016Jackie Kazil
Summary
Jackie Kazil has led a distinguished and varied career with a strong focus on providing information and tools that empower others. This includes her work in data journalism, as a presidential innovation fellow, co-founding 18F, co-authoring a book, and being elected to the board of the Python Software Foundation. In this episode she shares these stories and more with us and how Python has helped her along the way.
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 application.
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 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 join other listeners of the show and share ideas for how to make it better.
Your host as usual is Tobias Macey and today I’m interviewing Jackie Kazil about her work with 18F, writing Data Wrangling with Python, and her career with Python.
Interview with Jackie Kazil
Introductions
How did you get introduced to Python?
Looking at your background it shows that you got your start in Journalism and that you are now working on an additional degree in Computational Social Science. Can you share a bit about that journey and what set you on that path?
What is computational social science and what has your particular focus been within that field?
How has your work in news media prepared you for your current role?
One of your many notable achievements is co-founding 18F. Can you start by explaining what that organization is and how you got involved in the efforts to build it?
What are some of the notable uses of Python at 18F?
In what ways did your experience working with 18F differ from the work you have done at companies outside of government?
You recently co-wrote and published Data Wrangling with Python through O’Reilly Media. What kind of subject matter do you cover in the book and who is the target audience?
There are a number of resources available to learn the various tools for working with data in Python. What is the gap that this book is aiming to fill and how did you get started with it?
What are some of the most interesting things that you learned while working on the book?
Keep In Touch
Twitter
Email
Picks
Tobias
Jason Bourne Movies

Jackie
Czech Dumpling Dough

Links
Byteback
NetworkX
Project Mesa
GeoQ
openFOIA
OpenFEC API
The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA
40 min
December 17, 2016 Weblate with Michal Čihař
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.
33 min
December 17, 2016Weblate with Michal Čihař
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
33 min
December 11, 2016 SpaCy with Matthew Honnibal
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.
37 min
December 11, 2016SpaCy with Matthew Honnibal
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
37 min
December 04, 2016 Kinto with Alexis Metaireau and Mathieu Leplatre
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.
57 min
December 04, 2016Kinto with Alexis Metaireau and Mathieu Leplatre
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
57 min
November 26, 2016 Plone with Eric Steele
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.
51 min
November 26, 2016Plone with Eric Steele
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
.
51 min
November 19, 2016 Retrospective
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.
38 min