The Python Podcast.init

By Tobias MaceyTechnology Education

The Python Podcast.init episodes

April 08, 2017Oscar Ecommerce with David Winterbottom and Michael van Tellingen
Summary
If you have a product to sell, whether it is a physical good or a subscription service, then you need a way to manage your transactions. The Oscar ecommerce framework for Django is a flexible, extensible, and well built way for you to add that functionality to your website. This week David Winterbottom and Michael van Tellingen talk about how the project got started, how it works under the covers, and how you can start using it today.
Preface
Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great.
I would like to thank everyone who supports us on Patreon. Your contributions help to make the show sustainable.
When you’re ready to launch your next project you’ll need somewhere to deploy it. Check out Linode at www.podastinit.com/linode?utm_source=rss&utm_medium=rss and get a $20 credit to try out their fast and reliable Linux virtual servers for running your awesome app.
Visit the site to subscribe to the show, sign up for the 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
Before we start the show I have a couple of announcements
I started a new Slack channel for guests and listeners of the show. Go to www.pythonpodcast.com/slack?utm_source=rss&utm_medium=rss to join in the conversation!
If you are interested in how open source powers innovations in data then you should check out the Open Source Data Science conference. It is coming to Boston, Massachusetts on March 3rd through the 5th so don’t miss out on your chance to level up and meet some new friends!

Your host as usual is Tobias Macey and today I’m interviewing David Winterbottom and Michael van Tellingen about the Oscar framework for building ecommerce applications in Django.

Interview
Introductions
How did you get introduced to Python?
What is Oscar and what problem were you trying to solve when you created it?
At face value ecommerce seems like a fairly straightforward problem domain but there is a lot of incidental complexity involved. What are some of the most challenging aspects of building and managing a web store?
The documentation states in a number of places that Oscar takes a ‘domain driven’ approach to building ecommerce applications. Can you explain what you mean by that and how it manifests in the project?
What does the internal design of Oscar look like and how would someone get started with building a site with it?
There can be a benefit to having an opinionated approach when building a framework because it simplifies the implemenation for the user. What is the reasoning for choosing to expose and allow for complexity in Oscar?
What are some of the most interesting and unexpected projects that you have seen built with Oscar?
How has ecommerce changed in the time since Oscar was first created, and how has that impacted its evolution?
What is in store for the future of Oscar?
Contact
David
Website
@codeinthehole on Twitter
GitHub

Michael
Website

Picks
David
Destroy All Software by Gary Bernhardt

Michael
PyCharm
Zeep (SOAP Library)

Links
Shopify
Tangent
Domain Driven Design by Eric Evans (book)
Entity, Attribute, Value Pattern
Home Assistant Interview
Spree Commerce
Magento
Saleor
Wagtail
Wagtail Interview
Django CMS
Kivy Garden
Awesome Wagtail
SaltStack Formulas
Pelican Plugins
DjangoPackages.org
Django Treebeard
TDD (Test Driven Development)
The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA
54 min
April 01, 2017 Duplicity with Kenneth Loafman
Everyone who uses a computer on a regular basis knows the importance of backups. Duplicity is one of the most widely used backup technologies, and it's written in Python! This week Kenneth Loafman shares how Duplicity got started, how it works, and why you should be using it every day.
36 min
April 01, 2017Duplicity with Kenneth Loafman
Summary
Everyone who uses a computer on a regular basis knows the importance of backups. Duplicity is one of the most widely used backup technologies, and it’s written in Python! This week Kenneth Loafman shares how Duplicity got started, how it works, and why you should be using it every day.
Preface
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.
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
Your host as usual is Tobias Macey and today I’m interviewing Kenneth Loafman about Duplicity, the Python based backup tool
Interview
Introduction
How did you get introduced to Python?
Can you share some of the history of Duplicity?
What is duplicity and how does it differ from other available backup tools?
Many backup solutions are written in Java or lower level languages such as C, what is the motivation for using Python as the language for implementing Duplicity?
At face value backing up files seems like a straightforward task but there is a lot of incidental complexity. Can you describe the architecture and internals of Duplicity that allow for it to handle a wide variety of use cases?
It has been shown in a number of contexts that people will generally use the default settings, so by forcing people to opt out of encrypting their backups you are promoting security best practices in Duplicity. Why is it so important to have the archive encrypted, even if the storage medium is fully under the control of the person doing the backup?
Given that backups need to be highly reliable what are the steps that you take during the development process to ensure that there are no regressions?
What mechanisms are built into duplicity to prevent data corruption?
What are some of the most difficult or complex aspects of the problem space that Duplicity is dealing with?
I noticed that you have a proposal for a new archive format to replace Tar. Can you describe the motivation for that and the design choices that have been made?
Contact
Kenneth Loafman
Email
@FirstPrime on Twitter

Picks
Tobias
Passengers

Kenneth
NCIS
Plan 9 From Outer Space

Links
rsync
librsync
deja-dup
duply
ECC
duplicity
The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA
36 min
March 25, 2017 Digital Identity, Privacy, and Security with Brian Warner
As the internet and digital technologies continue to infiltrate our way of life, we are forced to consider how our concepts of identity and security are reflected in these spaces. Brian Warner joins me this week to discuss his work on privacy focused projects that he has worked on, including the Tahoe LAFS, Firefox Sync, and Magic Wormhole. He also has some intriguing ideas about how we can replace passwords and what it means to have an online identity.
47 min
March 25, 2017Digital Identity, Privacy, and Security with Brian Warner
Summary
As the internet and digital technologies continue to infiltrate our way of life, we are forced to consider how our concepts of identity and security are reflected in these spaces. Brian Warner joins me this week to discuss his work on privacy focused projects that he has worked on, including the Tahoe LAFS, Firefox Sync, and Magic Wormhole. He also has some intriguing ideas about how we can replace passwords and what it means to have an online identity.
Preface
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.
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
Your host as usual is Tobias Macey and today I’m interviewing Brian Warner about digital identity, privacy, and security
Interview
Please introduce yourself
How did you get introduced to Python?
How did you get involved in the area of cryptography and digital privacy?
You have created or made significant contributions to a number of projects that are focused on making secure communications and storage more accessible, including Tahoe LAFS (Least Authority File System), Magic Wormhole, and Petmail. Can you provide a brief overview of these projects and any others that you would like to mention?
What problem were you trying to solve when you created or began contributing to each of them and how satisfied are you with their current state?
What have you found to be the biggest barriers to adoption for these projects?
How do Tahoe and Magic Wormhole benefit an average user and what are your plans for their future development?
One of the most ubiquitous issues with our modern security infrastructure leading to compromise is the humble password. What are some technologies that you foresee replacing the need for passwords?
As technologists we are fairly well aware of the weaknesses in the systems that we use day-to-day. How can we make digital privacy and security more accessible?
Contact Info
warner on GitHub
@lotharrr on Twitter
Picks
Brian
Ra on Things of Interest
The Golden Age by John C. Wright

Links
Tor
Petmail (v1, ca 2003)
Petmail (new)
Mojo Nation
Tahoe-LAFS
Magic-Wormhole
Erasure Coding
Firefox Sync
JPAKE
SPAKE2
PyCon 2016 Presentation on Magic Wormhole (video)
(slides)
Versioneer
Keybase File System
Least Authority Enterprises
Foolscap
SpiderOak
Object Capability Pattern
Shamir’s Secret Sharing
AutoCrypt
Signal
WhatsApp
Simply Secure
47 min
March 18, 2017 Crossbar.io with Tobias Oberstein and Alexander Gödde
As our system architectures and the Internet of Things continue to push us towards distributed logic we need a way to route the traffic between those various components. Crossbar.io is the original implementation of the Web Application Messaging Protocol (WAMP) which combines Remote Procedure Calls (RPC) with Publish/Subscribe (PubSub) communication patterns into a single communication layer. In this episode Tobias Oberstein describes the use cases and design patterns that become possible when you have event-based RPC in a high-throughput and low-latency system.
53 min
March 18, 2017Crossbar.io with Tobias Oberstein and Alexander Gödde
Summary
As our system architectures and the Internet of Things continue to push us towards distributed logic we need a way to route the traffic between those various components. Crossbar.io is the original implementation of the Web Application Messaging Protocol (WAMP) which combines Remote Procedure Calls (RPC) with Publish/Subscribe (PubSub) communication patterns into a single communication layer. In this episode Tobias Oberstein describes the use cases and design patterns that become possible when you have event-based RPC in a high-throughput and low-latency system.
Preface
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.
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
Your host as usual is Tobias Macey and today I’m interviewing Tobias Oberstein and Alexander Gödde about Crossbar.io, a high throughput asynchronous router for the WAMP protocol
Interview
Introductions
How did you get introduced to Python?
What is Crossbar and what is the problem that you were trying to solve when you created it?
What is the status of the IETF WAMP protocol proposal?
Why have an open protocol – and how do you see the ecosystem?
Python isn’t typically considered to be a high-performance language so what led you to use it for building Crossbar?
How is Crossbar architected for proxying requests from a highly distributed set of clients with low latency and high throughput?
How do you handle authorization between the various clients of the router so that potentially sensitive messages don’t get published to the wrong component?
Does Crossbar encapsulate any business logic or is that all pushed to the edges of the system?
What are some of the typical kinds of applications that Crossbar is designed for?
What are some common design paradigms that would be better suited for a WAMP implementation?
What are some of the most interesting or surprising uses of Crossbar that you have seen?
What do you have planned for the future of Crossbar?
Keep In Touch
Mailing Lists
https://groups.google.com/forum/#!forum/autobahnws?utm_source=rss&utm_medium=rss
https://groups.google.com/forum/#!forum/wampws?utm_source=rss&utm_medium=rss
https://groups.google.com/forum/#!forum/crossbario?utm_source=rss&utm_medium=rss

#autobahn on IRC

Picks
Tobias
Logan

Alex
Pivotal Tracker

Tobias
PyPy
Brian Warner
Click
prompt-toolkit

Links
Autobahn
WAMP
PyPy
API Gateway
The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA
53 min
March 11, 2017 MetPy: Taming The Weather With Python
What's the weather tomorrow? That's the question that meteorologists are always trying to get better at answering. This week the developers of MetPy discuss how their project is used in that quest and the challenges that are inherent in atmospheric and weather research. It is a fascinating look at dealing with uncertainty and using messy, multidimensional data to model a massively complex system.
53 min
March 11, 2017MetPy: Taming The Weather With Python
Summary
What’s the weather tomorrow? That’s the question that meteorologists are always trying to get better at answering. This week the developers of MetPy discuss how their project is used in that quest and the challenges that are inherent in atmospheric and weather research. It is a fascinating look at dealing with uncertainty and using messy, multidimensional data to model a massively complex system.
Preface
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.
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
Your host as usual is Tobias Macey and today I’m interviewing Ryan May, Sean Arms, and John Leeman about MetPy, a collection of tools and notebooks for analyzing meteorological data in Python.
Interview
Introductions
How did you get introduced to Python?
What is MetPy and what is the problem that prompted you to create it?
Can you explain the problem domain for Meteorology and how it compares to other domains such as the physical sciences?
How do you deal with the inherent uncertainty of atmospheric and weather data?
What are some of the data sources and data formats that a meteorologist works with?
To what degree is machine learning or artificial intelligence employed when modelling climate and local weather patterns?
The MetPy documentation has a number of examples of how to use the library and a number of them produce some fairly complex plots and graphs. How prevalent is the need to interact with meteorological data visually to properly understand what it is trying to tell you?
I read through your developer guide and watched your SciPy talk about development automation in MetPy. My understanding is that individuals with a pure science background tend to eschew formal code styles and software engineering practices so I’m curious what your experience has been when interacting with your user community.
What are some of the interesting innovations in weather science that you are looking forward to?
Keep In Touch
MetPy
@MetPy on Twitter
Documentation
GitHub

Ryan
@dopplershift on Twitter
dopplershift on GitHub

Picks
Tobias
Drill To Detail Podcast
Data Capital Episode

Ryan
pytest-mpl

Sean
Trolls

John
Embedded.fm

Links
Unidata
University of Oklahoma – College of Atmospheric and Geographic Sciences
University Corporation for Atmospheric Research
NetCDF
GEMPACK
XArray
The Climate Corporation
GOES-16
LDM
Goes16 on Twitter
Don’t Panic Geocast
The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA
53 min
March 04, 2017 The Update Framework: Securing Your Software Updates with Justin Cappos
If you write software then there's a good probability that you have had to deal with installing dependencies, but did you stop to ask whether you're installing what you think you are? My guest this week is Professor Justin Cappos from the Secure Systems Lab at New York University and he joined me to discuss his work on The Update Framework which was built to guarantee that you never install a compromised package in your systems.
38 min