The Python Podcast.init

By Tobias MaceyTechnology Education

The Python Podcast.init episodes

February 18, 2018Software Architecture For Developers with Neal Ford
Summary
Whether it is intentional or accidental, every piece of software has an existing architecture. In this episode Neal Ford discusses the role of a software architect, methods for improving the design of your projects, pitfalls to avoid, and provides some resources for continuing to learn about how to design and build successful systems.
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 podastinit.com/linode and get a $20 credit to try out their fast and reliable Linux virtual servers for running your awesome app. And now you can deliver your work to your users even faster with the newly upgraded 200 GBit network in all of their datacenters.
If you’re tired of cobbling together your deployment pipeline then it’s time to try out GoCD, the open source continuous delivery platform built by the people at ThoughtWorks who wrote the book about it. With GoCD you get complete visibility into the life-cycle of your software from one location. To download it now go to podcatinit.com/gocd. Professional support and enterprise plugins are available for added piece of mind.
Visit the site to subscribe to the show, sign up for the newsletter, and read the show notes. And if you have any questions, comments, or suggestions I would love to hear them. You can reach me on Twitter at @Podcast__init__ or email [email protected])
To help other people find the show please leave a review on iTunes, or Google Play Music, tell your friends and co-workers, and share it on social media.
A few announcements before we start the show:
There is still time to register for the O’Reilly Software Architecture Conference in New York. Use the link podcastinit.com/sacon-new-york to register and save 20%
If you work with data or want to learn more about how the projects you have heard about on the show get used in the real world then join me at the Open Data Science Conference in Boston from May 1st through the 4th. It has become one of the largest events for data scientists, data engineers, and data driven businesses to get together and learn how to be more effective. To save 60% off your tickets go to podcastinit.com/odsc-east-2018 and register.

With many thanks to O’Reilly Media, I have two items to give away. To sign up you just need to subscribe to the mailing list at podcastinit.com and you will have the chance to win either a copy of Neal’s book, Building Evolutionary Architectures, or a Bronze ticket to the O’Reilly Software Architecture Conference in New York. I will be picking the winners on February 21st.

Your host as usual is Tobias Macey and today I’m interviewing Neal Ford about principles of software architecture for developers

Interview
Introductions
How did you get introduced to Python?
A majority of your work has been focused on software architectures and how that can be used to facilitate delivery of working systems. Can you start by giving a high level description of what software architecture is and how it fits into the overall development process?
One of the difficulties that arise in long-lived projects is that technical debt accrues to the point that forward progress stagnates due to fear that any changes will cause the system to stop functioning. What are some methods that developers can use to either guard against that eventuality, or address it when it happens?
What are some of the broad categories of architectural patterns that developers should be aware of?
Are there aspects of the language that a system or application is being implemented in which influence the style of architecture that is commonly used?
What are some architectural anti-patterns that you have found to be the most commonly occurring?
Software is useless if there is no way to deliver it to the end user. What are some of the challenges that are most often overlooked by engineering teams and how do you solve for them?
Beyond the purely technological aspects, what other elements of software production and delivery are necessary for a successful architecture?
What resources can you recommend for someone who is interested in learning more about software architecture, whether as an individual contributor or in a full time architect role?
Keep In Touch
Website
@neal4d on Twitter
Picks
Tobias
Jumanji: Welcome to the Jungle
Lost City of Z

Neal
DeveloperToArchitect.com
EvolutionaryArchitecture.com
Broken Earth Series

Links
Thoughtworks
Neal’s Blog
Lisp
Thoughtworks Technology Radar
Martin Fowler: Who Needs an Architect?
O’Reilly Software Architecture Conference
Soft Skills
Microservices
Building Evolutionary Architectures
Github: Move Fast and Fix Things
Continuous Delivery
Github Scientist
Laboratory (Scientist in Python)
Agile Development
The Accidental Architect
System Quality Attributes
Pipes and Filters
MapReduce
Hadoop
Service Oriented Architecture
Linux
DevOps
Configuration Management
React
Alibaba Open Source
Baidu Open Source
Pragmatic Programmer
Trunk Based Development
PlantUML
Visio
Mermaid Diagrams
Graphviz
Evernote
Software Architecture Fundamentals
Enterprise Integration Patterns
Architectural Katas
The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA
51 min
February 11, 2018 ZimboPy
Learning to code is one of the most effective ways to be successful in the modern economy. To that end, Marlene Mhangami and Ronald Maravanyika created the ZimboPy organization to teach women and girls in Zimbabwe how to program in Python. In this episode they are joined by Mike Place to discuss how ZimboPy got started, the projects that their students have worked on, and how the community can get involved.
30 min
February 11, 2018ZimboPy
Summary
Learning to code is one of the most effective ways to be successful in the modern economy. To that end, Marlene Mhangami and Ronald Maravanyika created the ZimboPy organization to teach women and girls in Zimbabwe how to program in Python. In this episode they are joined by Mike Place to discuss how ZimboPy got started, the projects that their students have worked on, and how the community can get involved.
Preface
mu- 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 podastinit.com/linode and get a $20 credit to try out their fast and reliable Linux virtual servers for running your awesome app. And now you can deliver your work to your users even faster with the newly upgraded 200 GBit network in all of their datacenters.
– If you’re tired of cobbling together your deployment pipeline then it’s time to try out GoCD, the open source continuous delivery platform built by the people at ThoughtWorks who wrote the book about it. With GoCD you get complete visibility into the life-cycle of your software from one location. To download it now go to podcatinit.com/gocd. Professional support and enterprise plugins are available for added piece of mind.
– Visit the site to subscribe to the show, sign up for the newsletter, and read the show notes. And if you have any questions, comments, or suggestions I would love to hear them. You can reach me on Twitter at @Podcast__init__ or email [email protected])
– To help other people find the show please leave a review on iTunes, or Google Play Music, tell your friends and co-workers, and share it on social media.
– Your host as usual is Tobias Macey and today I’m interviewing Marlene Mhangami, Mike Place, and Ronald Maravanyika about ZimboPy, an organization that teaches women and girls in Zimbabwe how to program using Python
Interview
Introductions
How did you get introduced to Python?
Can you start by explaining what the mission of ZimboPy is and how it got started?
Which languages did you consider using for your lessons and what was your reason for choosing Python?
What subject matter do you cover in addition to pure programming concepts?
What are some of the types of projects that the students have completed as part of their work with ZimboPy?
What have been the most challenging aspects of running ZimboPy?
How is ZimboPy supported and what are your plans to ensure future sustainability?
Can you share some success stories for the women and girls that you have worked with?
For anyone who is interested in replicating your work for other communities what advice do you have?
Keep In Touch
Mike
cachedout on GitHub
@cachedout on Twitter
cachedout on Keybase

Ronald
Rmaravanyika on GitHub
@Rmaravanyika on Twitter

Marlene
@marlene_zw on Twitter
LinkedIn

Picks
Tobias
Click

Ronald
Odoo formerly OpenERP

Links
ZimboPy
Unilever
Django Girls
Thomas Hatch
SaltStack
Zimbabwe
Mechatronics
Raspberry Pi
OpenCV
ZimboPy Curriculum
ZimboPy Storefront
Oxfam
Open Collective
ZimboPy Mentorship Registration
The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA
30 min
February 05, 2018 PyRay: Pure Python 3D Rendering with Rohit Pandey
Using a rendering library can be a difficult task due to dependency issues and complicated APIs. Rohit Pandey wrote PyRay to address these issues in a pure Python library. In this episode he explains how he uses it to gain a more thorough understanding of mathematical models, how it compares to other options, and how you can use it for creating your own videos and GIFs.
43 min
February 05, 2018PyRay: Pure Python 3D Rendering with Rohit Pandey
Summary
Using a rendering library can be a difficult task due to dependency issues and complicated APIs. Rohit Pandey wrote PyRay to address these issues in a pure Python library. In this episode he explains how he uses it to gain a more thorough understanding of mathematical models, how it compares to other options, and how you can use it for creating your own videos and GIFs.
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 podastinit.com/linode and get a $20 credit to try out their fast and reliable Linux virtual servers for running your awesome app. And now you can deliver your work to your users even faster with the newly upgraded 200 GBit network in all of their datacenters.
If you’re tired of cobbling together your deployment pipeline then it’s time to try out GoCD, the open source continuous delivery platform built by the people at ThoughtWorks who wrote the book about it. With GoCD you get complete visibility into the life-cycle of your software from one location. To download it now go to podcatinit.com/gocd. Professional support and enterprise plugins are available for added piece of mind.
Visit the site to subscribe to the show, sign up for the newsletter, and read the show notes. And if you have any questions, comments, or suggestions I would love to hear them. You can reach me on Twitter at @Podcast__init__ or email [email protected])
To help other people find the show please leave a review on iTunes, or Google Play Music, tell your friends and co-workers, and share it on social media.
A few announcements before we start the show:
There’s still time to get your tickets for PyCon Colombia, happening February 9th and 10th. Go to pycon.co to learn more and register.
There is also still time to register for the O’Reilly Software Architecture Conference in New York. Use the link podcastinit.com/sacon-new-york to register and save 20%
If you work with data or want to learn more about how the projects you have heard about on the show get used in the real world then join me at the Open Data Science Conference in Boston from May 1st through the 4th. It has become one of the largest events for data scientists, data engineers, and data driven businesses to get together and learn how to be more effective. To save 60% off your tickets go to podcastinit.com/odsc-east-2018 and register.

Your host as usual is Tobias Macey and today I’m interviewing Rohit Pandey about PyRay, a 3d rendering library written completely in python

Interview
Introductions
How did you get introduced to Python?
Can you start by explaining what PyRay is and what motivated you to create it?
[rohit] PyRay is an open source library written completely in Python that let’s you render three and higher dimensional objects and scenes. Development on it has been ongoing and new features have so far come about from videos for my Youtube channel.
What does the internal architecture of PyRay look like and how has that design evolved since you first started working on it?
What capabilities are unlocked by having a pure Python rendering library which would otherwise be impractical or impossible for Python developers to do with existing options?
[rohit] Having a pure Python library makes it accessible with minimal fixed cost to Python users. The tradeoff is you lose on speed, but for many applications that isn’t an issue. I haven’t seen a library coded completely in Python that let’s you manipulate 3d and higher dimensional objects. The core usecase right now is Mathematical artwork. Google geometric gifs and you’ll see some fascinating, mesmerizing results. But those are created for the most part using tools that are not Python. Which is a pity since Python has a very extensive library of Mathematical functions.
What have been some of the most challenging aspects of building and maintaining PyRay?
[rohit] 3d objects – getting mesh plots. I have to develop routines from scratch for almost everything – shading objects, etc. Animated routines for characters.
What are some of the most interesting or unexpected uses of PyRay that you are aware of?
[rohit] Physical simulations. Ex: Testing if a solid is a fair die, getting lower bounds for space packing efficiencies of solids. Creating interactive demos where a user can draw to provide input.
For someone who wanted to contribute to PyRay are there any particular skills or experience that would be most helpful?
Basic linear algebra and python
What are some of the features or improvements that you have planned for the future of PyRay?
Keep In Touch
pyray repo – https://github.com/ryu577/pyray?utm_source=rss&utm_medium=rss
– Email
– GitHub
– LinkedIn
Picks
Tobias
Berserker Series by Fred Saberhagen

Rohit
Samurai Math Youtube Channel
3 Blue 1 Brown Youtube Channel
Isaac Arthur Youtube Channel

Links
PyRay
PyRay Youtube Videos
Microsoft Azure
Data Science
Columbia University
R
Nielsen
3Blue1Brown – Music and Measure Theory
Manim
Python Subreddit
Maya
Blender
Panda3D
POVRay
Pillow
NumPy
SciPy
Support Vector Machine
Logistic Regression
Geometric GIFs
Vapory
RGB vs HSL Color Scales
FFMPEG
Quaternions
The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA
43 min
January 28, 2018 MonkeyType with Carl Meyer and Matt Page
One of the draws of Python is how dynamic and flexible the language can be. Sometimes, that flexibility can be problematic if the format of variables at various parts of your program is unclear or the descriptions are inaccurate. The growing middle ground is to use type annotations as a way of providing some verification of the format of data as it flows through your application and enforcing gradual typing. To make it simpler to get started with type hinting, Carl Meyer and Matt Page, along with other engineers at Instagram, created MonkeyType to analyze your code as it runs and generate the type annotations. In this episode they explain how that process works, how it has helped them reduce bugs in their code, and how you can start using it today.
49 min
January 28, 2018MonkeyType with Carl Meyer and Matt Page
Summary
One of the draws of Python is how dynamic and flexible the language can be. Sometimes, that flexibility can be problematic if the format of variables at various parts of your program is unclear or the descriptions are inaccurate. The growing middle ground is to use type annotations as a way of providing some verification of the format of data as it flows through your application and enforcing gradual typing. To make it simpler to get started with type hinting, Carl Meyer and Matt Page, along with other engineers at Instagram, created MonkeyType to analyze your code as it runs and generate the type annotations. In this episode they explain how that process works, how it has helped them reduce bugs in their code, 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 podastinit.com/linode and get a $20 credit to try out their fast and reliable Linux virtual servers for running your awesome app. And now you can deliver your work to your users even faster with the newly upgraded 200 GBit network in all of their datacenters.
If you’re tired of cobbling together your deployment pipeline then it’s time to try out GoCD, the open source continuous delivery platform built by the people at ThoughtWorks who wrote the book about it. With GoCD you get complete visibility into the life-cycle of your software from one location. To download it now go to podcatinit.com/gocd. Professional support and enterprise plugins are available for added piece of mind.
Visit the site to subscribe to the show, sign up for the newsletter, and read the show notes. And if you have any questions, comments, or suggestions I would love to hear them. You can reach me on Twitter at @Podcast__init__ or email [email protected])
To help other people find the show please leave a review on iTunes, or Google Play Music, tell your friends and co-workers, and share it on social media.
A few announcements before we start the show:
There’s still time to get your tickets for PyCon Colombia, happening February 9th and 10th. Go to pycon.co to learn more and register.
There is also still time to register for the O’Reilly Software Architecture Conference in New York Feb 25-28. Use the link podcastinit.com/sacon-new-york to register and save 20%
If you work with data or want to learn more about how the projects you have heard about on the show get used in the real world then join me at the Open Data Science Conference in Boston from May 1st through the 4th. It has become one of the largest events for data scientists, data engineers, and data driven businesses to get together and learn how to be more effective. To save 60% off your tickets go to podcastinit.com/odsc-east-2018 and register.

Your host as usual is Tobias Macey and today I’m interviewing Carl Meyer and Matt Page about MonkeyType, a system to collect type information at runtime for your Python 3 code

Interview
Introductions
How did you get introduced to Python?
What is MonkeyType and how did the project get started?
How much overhead does the MonkeyType tracing add to the running system, and what techniques have you used to minimize the impact on production systems?
Given that the type information is collected from call traces at runtime, and some functions may accept multiple different types for the same arguments (e.g. add), do you have any logic that will allow for combining that information into a higher-order type that gets set as the annotation?
How does MonkeyType function internally and how has the implementation evolved over the time that you have been working on it?
Once the type annotations are present in your code base, what other tooling are you using to take advantage of that information?
It seems as though using MonkeyType to trace your running production systems could be a way to inadvertantly identify dead sections of code that aren’t being executed. Have you investigated ways to use the collected type information perform that analysis?
What have been some of the most challenging aspects of building, using, and maintaining MonkeyType?
What have been some of the most interesting or noteworthy things that you have learned in the process of working on and with MonkeyType?
What have you found to be the most useful and most problematic aspects of the typing capabilities provided in recent versions of Python?
For someone who wants to start using MonkeyType today, what is involved in getting it set up and using it in a new or existing codebase?
What features or improvements do you have planned for future releases of MonkeyType?
Keep In Touch
Carl
Email
@carljm on Twitter

Matt
Email
@void_star on Twitter

Picks
Tobias
LyxPro HAS-30 Headphones

Carl
Broadchurch
Happy Valley

Matt
Anova Sous Vide

Links
MonkeyType
Instagram
Dive Into Python
Python 3 Typing Module
MyPy
Project Page
Podcast.init Interview

Mike Krieger

PyAnnotate

Type Annotations

Type Stubs

PEP 523 frame evaluation api

Scuba

Haskell

Rust

PEP 563 Postponed Evaluation of Annotations

Gary Bernhardt – Ideology

coverage.py

The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA
49 min
January 21, 2018 Learn Leap Fly: Using Python To Promote Global Literacy with Kjell Wooding
Learning how to read is one of the most important steps in empowering someone to build a successful future. In developing nations, access to teachers and classrooms is not universally available so the Global Learning XPRIZE serves to incentivize the creation of technology that provides children with the tools necessary to teach themselves literacy. Kjell Wooding helped create Learn Leap Fly in order to participate in the competition and used Python and Kivy to build a platform for children to develop their reading skills in a fun and engaging environment. In this episode he discusses his experience participating in the XPRIZE competition, how he and his team built what is now Kasuku Stories, and how Python and its ecosystem helped make it possible.
44 min
January 21, 2018Learn Leap Fly: Using Python To Promote Global Literacy with Kjell Wooding
Summary
Learning how to read is one of the most important steps in empowering someone to build a successful future. In developing nations, access to teachers and classrooms is not universally available so the Global Learning XPRIZE serves to incentivize the creation of technology that provides children with the tools necessary to teach themselves literacy. Kjell Wooding helped create Learn Leap Fly in order to participate in the competition and used Python and Kivy to build a platform for children to develop their reading skills in a fun and engaging environment. In this episode he discusses his experience participating in the XPRIZE competition, how he and his team built what is now Kasuku Stories, and how Python and its ecosystem helped make it possible.
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 podastinit.com/linode and get a $20 credit to try out their fast and reliable Linux virtual servers for running your awesome app. And now you can deliver your work to your users even faster with the newly upgraded 200 GBit network in all of their datacenters.
If you’re tired of cobbling together your deployment pipeline then it’s time to try out GoCD, the open source continuous delivery platform built by the people at ThoughtWorks who wrote the book about it. With GoCD you get complete visibility into the life-cycle of your software from one location. To download it now go to podcatinit.com/gocd. Professional support and enterprise plugins are available for added piece of mind.
Visit the site to subscribe to the show, sign up for the newsletter, and read the show notes. And if you have any questions, comments, or suggestions I would love to hear them. You can reach me on Twitter at @Podcast__init__ or email [email protected])
To help other people find the show please leave a review on iTunes, or Google Play Music, tell your friends and co-workers, and share it on social media.
Your host as usual is Tobias Macey and today I’m interviewing Kjell Wooding about Learn Leap Fly, a startup using Python on mobile devices to facilitate global learning
Interview
Introductions
How did you get introduced to Python?
Can you start by describing what Learn Leap Fly does and how the company got started?
What was your motivation for using Kivy as the primary technology for your mobile applications as opposed to the platform native toolkits or other multi-platform frameworks?
What are some of the pedagogical techniques that you have incorporated into the technological aspects of your mobile application and are there any that you were unable to translate to a purely technical implementation.
How do you measure the effectiveness of the work that you are doing?
How has the framework of the XPRIZE influenced the way in which you have approached the design and development of your work?
What have been some of the biggest challenges that you faced in the process of developing and deploying your submission for the XPRIZE?
What are some of the features that you have planned for future releases of your platform?
Keep In Touch
Learn Leap Fly
Website
@learnleapfly on Twitter

Kjell
llfkj on GitHub
@pdokj on Twitter

Picks
Tobias
Yamaha YHT-4930UBL Home Theater System

Kjell
Instant Pot
Anova Sous Vide
Modernist Cooking at Home

Links
Programming Python (O’Reilly)
Learn Leap Fly
Tim Ferriss
Peter Diamandis
Global Learning XPRIZE
Kasuku Beta Program
XPRIZE Foundation
Kivy
Kivy Flappy Bird
Podcast.init Kivy Interview
Deliberate Practice
Google Pixel C
Bayesian Learning
SciPy
NumPy
Keras
The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA
44 min
January 14, 2018 Healthchecks.io: Open Source Alerting For Your Cron Jobs with Pēteris Caune
Your backups are running every day, right? Are you sure? What about that daily report job? We all have scripts that need to be run on a periodic basis and it is easy to forget about them, assuming that they are working properly. Sometimes they fail and in order to know when that happens you need a tool that will let you know so that you can find and fix the problem. Pēteris Caune wrote Healthchecks to be that tool and made it available both as an open source project and a hosted version. In this episode he discusses his motivation for starting the project, the lessons he has learned while managing the hosting for it, and how you can start using it today.
28 min