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    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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    Scott Sanderson on Algorithmic Trading Jan 03, 2016
    Show notes

    Visit our site to listen to past episodes, support the show, and sign up for our mailing list.

    Summary

    Because of its easy learning curve and broad extensibility Python has found its way into the realm of algorithmic trading at Quantopian. In this episode we spoke with Scott Sanderson about what algorithmic trading is, how it differs from high frequency trading, and how they leverage Python for empowering everyone to try their hand at it.

    Brief Introduction

    • Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great.
    • Subscribe on iTunes, Stitcher, TuneIn or RSS
    • Follow us on Twitter or Google+
    • Give us feedback! Leave a review on iTunes, Tweet to us, send us an email or leave us a message on Google+
    • 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
    • We are recording today on December 16th, 2015 and your hosts as usual are Tobias Macey and Chris Patti
    • Today we are interviewing Scott Sanderson on Algorithmic Trading

    Interview with Scott Sanderson

    • Introductions
    • How did you get introduced to Python? – Chris
    • Can you explain what algorithmic trading is and how it differs from high frequency trading? – Tobias
    • What kinds of algorithms and libraries are commonly leveraged for algorithmic trading? – Tobias
    • Quantopian aims to make algorithmic trading accessible to everyone. What do people need to know in order to get started? Is it necessary to have a background in mathematics or data analysis? – Tobias
    • Does the Quantopian platform build in any safe guards to prevent user’s algorithms from spiraling out of control and creating or contributing to a market crash? – Chris
    • How is Python used within Quantopian and when do you leverage other languages? – Tobias
    • What Pypi packages does Quantopian leverage in its platform? – Chris
    • How do the financial returns compare between algorithmic vs human trading on the stock market? – Tobias
    • Can you speak about any trends you see in the trading algorithms people are creating for the Quantopian platform? – Chris

    Picks

    • Tobias
      • Kinetic Sand
      • Trivium
      • Thrift Books

    • Chris
      • Threes
      • Jessica Jones)
      • Serial

    • Scott
      • Dota 2
      • Philosophical Investigations
      • Logicomix
      • Infinite Jest

    Keep In Touch

    • Twitter
    • Email
    • GitHub

    Links

    • QGrid
    • SlickGrid
    • Jupyter Hub
    • Light Table
    • CodeMirror
    • Cython
    • PyData NYC Talk by Scott
    • Blaze
    • Dask
    • Theano
    • TensorFlow
    • Zipline
    • Pyfolio
    • PGContents
    • SQLAlchemy
    • Gevent
    • quantopian.com/lectures

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

    The PEP Talk Dec 27, 2015
    Show notes

    Visit our site to listen to past episodes, support the show, and sign up for our mailing list.

    Summary

    The Python language is built by and for its community. In order to add a new feature, change the specification, or create a new policy the first step is to submit a proposal for consideration. Those proposals are called PEPs, or Python Enhancement Proposals. In this episode we had the great pleasure of speaking with three of the people who act as stewards for this process to learn more about how it got started, how it works, and what impacts it has had.

    Brief Introduction

    • Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great.
    • Subscribe on iTunes, Stitcher, TuneIn or RSS
    • Follow us on Twitter or Google+
    • Give us feedback! Leave a review on iTunes, Tweet to us, send us an email or leave us a message on Google+
    • 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
    • This episode is sponsored by Zato – Microservices, ESB, SOA, REST, API, and Cloud Integrations in Python. Visitzato.io to learn more about how to integrate smarter in the modern world.
    • I would also like to thank Hired, a job marketplace for developers, for sponsoring this episode of Podcast.__init__. Use the link hired.com/podcastinit to double your signing bonus.
    • Searching for Pythonistas with Disabilities
    • We are recording today on December 7th, 2015 and your hosts as usual are Tobias Macey and Chris Patti
    • Today we are interviewing some of the PEP editors

    Interview with PEP editors

    • Introductions
    • How did you get introduced to Python? – Chris
    • For anyone who isn’t familiar with them, can you explain what a PEP is and how they influence the Python language? – Tobias
    • What are the requirements for a PEP to be considered for approval and what does the overall process look like to get it finalized? – Tobias
    • How has the PEP process evolved to meet challenges posed by changes in the Python community? – Chris
    • How many reviewers are there and how did each of you end up in that role? Is there a set number of editors that must be maintained and if so how did you arrive at that number? – Tobias
    • What mistakes have other communities made when creating similar processes, and how has PEP learned from those mistakes? – Chris
    • There are different categories for PEPs. Can you describe what those are and how you arrived at that ontology? – Tobias
    • Is there any significance to the numbering system used for identifying different PEPs? – Tobias
    • How does the PEP process maintain its sense of humor (e.g. PEP 20) while being sure to be taken seriously where it really counts? – Chris
    • Along the lines of humorous PEPs, can you share the story of PEP 401? – Tobias
    • How does the PEP process strive to prevent an undesirable level of control by any one company or other special interest group? – Chris
    • How much control does Guido have over the PEP process? Has a PEP ever directly countered Guido’s wishes? How did it turn out? – Chris
    • What is your favorite PEP and why? – Tobias
      • Barry: PEP 20
      • Chris: PEP 479
      • David: PEP 20

    • What, in your opinion, has been the most important or far-reaching PEP, whether it was approved or not? – Tobias
      • David: PEP 20
      • Chris: PEP 466
      • Barry: PEP 8

    • What was the strangest / most extreme PEP proposal you’ve ever seen? – Chris
      • Chris: PEP 501
      • Barry: PEP 507
      • David: PEP 666

    Picks

    • Tobias
      • Wagtail CMS
      • Inside Out
      • Spark Podcast
      • Hymn for Atheists

    • Chris
      • Trumbo
      • Kivy Crash Course
      • Jihadology Podcast

    • Barry
      • Tox
      • Nose2
      • Jessica Jones
      • The Joy of Science

    • Chris
      • The Git Manpage Generator
      • Daily MTG

    • David
      • Tim’s Vermeer
      • Ready Player One
      • The Aristocrats
      • Scientific Songs of Praise
      • Hollywood Babble On

    Keep In Touch

    • Barry
      • Blog

    • Chris
      • Blog
      • GitHub

    • David
      • Website
      • Blog

    Links

    • Monty Python – All the Words
    • Monty Python – On YouTube
    • PEP 404
    • PEP 666
    • Raymond Hettinger PyCon 2015 PEP8 talk
    • Python Dev Mailing List
    • Python Ideas Mailing List
    • Python Bug Mailing List

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

    Eric Holscher on Documentation and Read The Docs Dec 20, 2015
    Show notes

    Visit our site to listen to past episodes, support the show, and sign up for our mailing list.

    Summary

    The first place we all go for learning about new libraries is the documentation. Lack of effective documentation can limit the adoption of an otherwise excellent project. In this episode we spoke with Eric Holscher, co-creator of Read The Docs, about why documentation is important and how we can all work to make it better.

    Brief Introduction

    • Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great.
    • Subscribe on iTunes, Stitcher, TuneIn or RSS
    • Follow us on Twitter or Google+
    • Give us feedback! Leave a review on iTunes, Tweet to us, send us an email or leave us a message on Google+
    • 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
    • I would also like to thank Hired, a job marketplace for developers, for sponsoring this episode of Podcast.__init__. Use the link hired.com/podcastinit to double your signing bonus.
    • Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $10 credit to try out their fast and reliable Linux virtual servers for your next project
    • We are recording today on November 30th, 2015 and your hosts as usual are Tobias Macey and Chris Patti
    • Today we are interviewing Eric Holscher about Documentation
    Linode Sponsor BannerUse the promo code podcastinit10 to get a $10 credit when you sign up! Hired LogoOn Hired software engineers & designers can get 5+ interview requests in a week and each offer has salary and equity upfront. With full time and contract opportunities available, users can view the offers and accept or reject them before talking to any company. Work with over 2,500 companies from startups to large public companies hailing from 12 major tech hubs in North America and Europe. Hired is totally free for users and If you get a job you’ll get a $2,000 “thank you” bonus. If you use our special link to signup, then that bonus will double to $4,000 when you accept a job. If you’re not looking for a job but know someone who is, you can refer them to Hired and get a $1,337 bonus when they accept a job.

    Interview with Eric Holscher

    • Introductions
    • How did you get introduced to Python? – Chris
    • You are one of the people behind the Read The Docs project. What was your inspiration for creating that platform and why is documentation so important in software? – Tobias
    • What makes Read The Docs different from other static sources for documentation? – Chris
    • The Python community seems to have a stronger focus on well-documented projects than some other languages. Do you have any theories as to why that is the case? – Tobias
    • Can you outline the landscape of projects that leverage the documentation capabilities that are built in to the Python language? – Tobias
    • Can you estimate the overall user base for Read The Docs? – Chris
    • Do you have any advice around methods or approaches that can help developers create and maintain effective documentation? – Tobias
    • Can you list some projects that you have found to provide the best documentation and what was remarkable about them? – Tobias
    • Newcomers to open source are often encouraged to submit improvements to a projects documentation as a way to get started and become involved with the community. Do you have any general advice on how to find and understand undocumented features? – Tobias
    • Do you have any statistics on the languages represented among the projects that host their documentation with you? – Tobias
    • What are some of the challenges you’ve faced and overcome in maintaining such a large repository of documentation from so many projects? – Chris
    • How can our listeners contribute to the project? – Chris

    Picks

    • Tobias
      • The Man from Uncle
      • Minute Physics

    • Chris
      • SigAvdi
      • Black Flags: The Rise of ISIS
      • Veritassium

    • Eric
      • Khao Soi
      • Climate Change
      • Gardening & healthy eating – Classic

    Keep In Touch

    • Twitter
      • @ericholscher
      • @readthedocs
      • @writethedocs

    Links

    • Stripe docs
    • Django Girls Tutorial
    • Write The Docs
    • Write The Docs Meetup Talk
    • Write The Docs Slack Channel

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

    Sylvain Thénault on ASTroid Dec 12, 2015
    Show notes

    Visit our site to listen to past episodes, support the show, and sign up for our mailing list.

    Summary

    The Python AST (Abstract Syntax Tree) is a powerful abstraction that allows for a number of innovative projects. ASTroid is a library that provides additional convenience methods to simplify working with the AST. In this episode we spoke with Sylvain Thénault from Logilab about his work on ASTroid and how it is used to power the popular PyLint static analysis tool.

    Brief Introduction

    • Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great.
    • Subscribe on iTunes, Stitcher, TuneIn or RSS
    • Follow us on Twitter or Google+
    • Give us feedback! Leave a review on iTunes, Tweet to us, send us an email or leave us a message on Google+
    • 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
    • I would also like to thank Hired, a job marketplace for developers, for sponsoring this episode of Podcast.__init__. Use the link hired.com/podcastinit to double your signing bonus.
    • Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $10 credit to try out their fast and reliable Linux virtual servers for your next project
    • We are recording today on November 23rd, 2015 and your hosts as usual are Tobias Macey and Chris Patti
    • Today we are interviewing Sylvain Thénault about ASTroid
    Hired LogoOn Hired software engineers & designers can get 5+ interview requests in a week and each offer has salary and equity upfront. With full time and contract opportunities available, users can view the offers and accept or reject them before talking to any company. Work with over 2,500 companies from startups to large public companies hailing from 12 major tech hubs in North America and Europe. Hired is totally free for users and If you get a job you’ll get a $2,000 “thank you” bonus. If you use our special link to signup, then that bonus will double to $4,000 when you accept a job. If you’re not looking for a job but know someone who is, you can refer them to Hired and get a $1,337 bonus when they accept a job. Linode Sponsor BannerUse the promo code podcastinit10 to get a $10 credit when you sign up!

    Interview with Sylvain Thénault

    • Introductions
    • How did you get introduced to Python? – Chris
    • Can you explain what an Abstract Syntax Tree is and why it is a useful language feature? – Tobias
    • What was your inspiration for creating ASTroid? – Chris
    • What features does ASTroid offer over Python’s standard AST package, and what makes those features important? – Chris
    • I know that the ASTroid package is used in Pylint which is also maintained by Logilab. How does the AST facilitate static analysis of Python projects and are there cases where you have to fall back to text parsing? – Tobias
    • Beyond static analysis, what are some of the other possible uses for the Python AST? – Tobias
    • The documentation for the AST package in Python mentions that the specific syntax objects in the tree are subject to change between releases. Does the ASTroid package provide any abstractions to maintain a consistent API between versions or does it just provide a pass-through? – Tobias
    • Have you encountered any challenges in testing ASTroid given that it operates at such a low level in the language? – Chris
    • Do you have trouble attracting contributors given the great understanding of Python’s inner working required? – Chris
    • Does the implementation or representation of the AST differ between different distributions of Python such as CPython, PyPy and Jython? – Tobias
    • What are some of the most interesting applications ASTroid has been used in? – Chris

    Picks

    • Tobias
      • Pre-Commit
      • Existential Comics
      • htmlPy

    • Chris
      • Pretty Things – Fluffy White Rabbits
      • Fallout 4

    • Sylvain
      • PyReverse
      • CubicWeb

    Keep In Touch

    • Code Quality Mailing List
    • PyLint Dev Mailing List
    • Twitter
      • @sythenault
      • @logilab

    • Logilab

    Links

    • Visitor pattern
    • Pylint

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

    Stuart Mumford on SunPy Dec 04, 2015
    Show notes

    Visit our site to listen to past episodes, support the show, and sign up for our mailing list.

    Summary

    What is Solar Physics? How does it differ from AstroPhysics? What does this all have to do with Python? In this episode we answer all of those questions when we interview Stuart Mumford about his work on SunPy. So put on your sunglasses and learn about how to use Python to decipher the secrets of our closest star.

    Brief Introduction

    • Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great.
    • Subscribe on iTunes, Stitcher, TuneIn or RSS
    • Follow us on Twitter or Google+
    • Give us feedback! Leave a review on iTunes, Tweet to us, send us an email or leave us a message on Google+
    • 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
    • I would also like to thank Hired, a job marketplace for developers, for sponsoring this episode of Podcast.__init__. Use the link hired.com/podcastinit to double your signing bonus.
    • Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $10 credit to try out their fast and reliable Linux virtual servers for your next project
    • We are recording today on November 17th, 2015 and your hosts as usual are Tobias Macey and Chris Patti
    • Today we are interviewing Stuart Mumford about SunPy
    Linode Sponsor BannerUse the promo code podcastinit10 to get a $10 credit when you sign up! Hired LogoOn Hired software engineers & designers can get 5+ interview requests in a week and each offer has salary and equity upfront. With full time and contract opportunities available, users can view the offers and accept or reject them before talking to any company. Work with over 2,500 companies from startups to large public companies hailing from 12 major tech hubs in North America and Europe. Hired is totally free for users and If you get a job you’ll get a $2,000 “thank you” bonus. If you use our special link to signup, then that bonus will double to $4,000 when you accept a job. If you’re not looking for a job but know someone who is, you can refer them to Hired and get a $1,337 bonus when they accept a job.

    Interview with Stuart Mumford

    • Introductions
    • How did you get introduced to Python? – Chris
    • Can you explain what the research and applications of solar physics are and how SunPy facilitates those activities? – Tobias
    • What was your inspiration for the SunPy project and what are you using it for in your research? – Tobias
    • Can you tell us what SunPy’s map and light curve classes are and how they might be used? – Chris
    • Are there any considerations that you need to be aware of when writing software libraries for practitioners of the hard sciences that would be different if the target audience were software engineers? – Tobias
    • Can SunPy consume data directly from telescopes and other observational apparatus? – Chris
    • I noticed on the project site that SunPy leverages AstroPy internally. Can you describe the relationship between the two projects and why someone might want to use SunPy in place of or in addition to AstroPy? – Tobias
    • Looking at the documentation I got the impression that there is a fair amount of visual representation of data for analysis. Can you describe some of the challenges that has posed? Is there integrated support for project Jupyter and are there other graphical environments that SunPy supports? – Tobias
    • What are some of the most interesting applications that SunPy has been used for? – Chris

    Picks

    • Tobias
      • Elm
      • Avro
      • Common Sense Media

    • Chris
      • Massdrop
      • 21st Amendment Fireside Chat
      • Extra Creditz

    • Stuart
      • Live ISS Stream with space-to-ground radio
      • Live ISS HD video stream 24/7
      • yt
      • Calf Studio – Live Audio Processing

    Keep In Touch

    • Twitter(@sunpyproject)
    • SunPy.org
    • GitHub
    • IRC

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

    Maneesha Sane on Software and Data Carpentry Nov 25, 2015
    Show notes

    Visit our site to listen to past episodes, support the show, and sign up for our mailing list.

    Summary

    The Software and Data Carpentry organizations have a mission of making it easier for scientists and data analysts in academia to replicate and review each others work. In order to achieve this goal they conduct training and workshops that teach modern best practices in software and data engineering, including version control and proper data management. In this episode we had the opportunity to speak with Maneesha Sane, the program coordinator for both organizations, so that we could learn more about how these projects are related and how they approach their mission.

    Brief Introduction

    • Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great.
    • Subscribe on iTunes, Stitcher, TuneIn or RSS
    • Follow us on Twitter or Google+
    • Give us feedback! Leave a review on iTunes, Tweet to us, send us an email or leave us a message on Google+
    • 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
    • This episode is sponsored by Zato – Microservices, ESB, SOA, REST, API, and Cloud Integrations in Python. Visit zato.io to learn more about how to integrate smarter in the modern world.
    • I would also like to thank Hired, a job marketplace for developers, for sponsoring this episode of Podcast.__init__. Use the link hired.com/podcastinit to double your signing bonus.
    • Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $10 credit to try out their fast and reliable Linux virtual servers for your next project
    • We are recording today on November 10th, 2015 and your hosts as usual are Tobias Macey and Chris Patti
    • Today we are interviewing Maneesha Sane about Software Carpentry and Data Carpentry

    Interview with Maneesha Sane

    • Introductions
    • How did you get introduced to Python?
    • Can you explain what the Software and Data Carpentry organizations are and what their respective goals are?
    • What is the history of these organizations and how are they related?
    • What does a typical Software Carpentry or Data Carpentry workshop look like?
    • What is the background of your instructors?
    • Can you explain why Python was chosen as the language for your workshops and why it is such a good language to use for teaching proper software engineering practices to scientists?
    • In what ways do the lessons taught by both groups differ and what parts are common between the two organizations?
    • What are some of the most important tools and lessons that you teach to scientists in academia?
    • Do you tend to focus mostly on procedural development or do you also teach object oriented programming in Software Carpentry?
    • What is the target audience for Data Carpentry and what are some of the most important lessons and tools taught to them?
    • Do you teach any particular method of pre-coding design like flowcharting, pseudocode, or top down decomposition in software carpentry?
    • What scientific domains are most commonly represented among your workshop participants for Software Carpentry?
    • What are some specific things the Python community and the Python core team could do to make it easier to adopt for your students?
    • What are the most common concepts students have trouble with in software & data carpentry?
    • How can our audience help support the goals of these organizations?

    Picks

    • Tobias
      • Vivaldi Browser
      • vyte.in
      • Pocket Casts

    • Chris
      • Chiptunes = Win
      • ESM – Electronic Study Music
      • Supergalactic Expansive

    • Maneesha
      • QPython
      • New Boston
      • Lunar Baboon

    Keep In Touch

    • Twitter
      • @swcarpentry
      • @datacarpentry
      • @maneeshasane

    • Blog

    • Software Carpentry

    • Data Carpentry

    Links

    • NumFocus
    • Software Carpentry GitHub – Training Courses
    • Instructor Training
    • Discussion Mailing List

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

    Erik Tollerud on AstroPy Nov 20, 2015
    Show notes

    Visit our site to listen to past episodes, support the show, and subscribe to our mailing list.

    Summary

    Erik Tollerud is an astronomer with a background in software engineering. He leverages these backgrounds to help build and maintain the AstroPy framework and its associated modules. AstroPy is a set of Python libraries that provide useful mechanisms for astronomers and astrophysicists to perform analyses on the data that they receive from observational equipment such as the mountain observatory that Erik was preparing to visit when we talked to him about his work. If you like Python and space then you should definitely give this episode a listen!

    Brief Introduction

    • Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great.
    • Subscribe on iTunes, Stitcher, TuneIn or RSS
    • Follow us on Twitter or Google+
    • Give us feedback! Leave a review on iTunes, Tweet to us, send us an email or leave us a message on Google+
    • 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
    • I would also like to thank Hired, a job marketplace for developers, for sponsoring this episode of Podcast.__init__. Use the link hired.com/podcastinit to double your signing bonus.
    • Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $10 credit to try out their fast and reliable Linux virtual servers for your next project
    • We are recording today on November 2nd, 2015 and your hosts as usual are Tobias Macey and Chris Patti
    • Today we are interviewing Erik Tollerud about AstroPy
    hired-logo-dark-padding.pngOn Hired software engineers & designers can get 5+ interview requests in a week and each offer has salary and equity upfront. With full time and contract opportunities available, users can view the offers and accept or reject them before talking to any company. Work with over 2,500 companies from startups to large public companies hailing from 12 major tech hubs in North America and Europe. Hired is totally free for users and If you get a job you’ll get a $2,000 “thank you” bonus. If you use our special link to signup, then that bonus will double to $4,000 when you accept a job. If you’re not looking for a job but know someone who is, you can refer them to Hired and get a $1,337 bonus when they accept a job. linode-banner-sponsor-large.pngUse the promo code podcastinit10 to get a $10 credit when you sign up!

    Interview with Erik Tollerud

    • Introductions
    • How did you get introduced to Python?
    • What was the inspiration to create AstroPy and what kinds of astronomical research can it be used for?
    • Can you tell us what AstroPy’s modeling functions are and give us examples of where they might be used?
    • Are there any considerations that you need to be aware of when writing software libraries for practitioners of the hard sciences that would be different if the target audience were software engineers?
    • What are some of the most interesting applications that AstroPy has been used for?
    • Are there open data sets that are available for people outside of academia to do analysis of astronomical data using AstroPy?
      • Have there been any useful discoveries made in this way?

    • Could you please tell us about AstroPy’s Virtual Observatory capabilities?

    • What are some interesting use cases for AstroPy’s Cosmological calculations?

    • Are there other libraries available that provide similar capabilities, perhaps in other languages? What makes AstroPy unique among them?

    • Can AstroPy consume data directly from telescopes and other observational apparatus?

    • The amount of data generated from observing astronomical phenomena must be immense. What are some of the tools used to manage that data and how does AstroPy interface with them?

    • How might AstroPy be used to prove or disprove the cold dark matter hypothesis?

    • What are some of the architectural choices that have been made to allow for the AstroPy library to serve as the core for a number of other add-ons?
      • Does AstroPy provide a common data format to allow for easy interoperability between the various addons?

    • I noticed that AstroPy adheres to the PSF code of conduct, as well as having adopted an enhancement proposal process modelled after PEPs. Can you explain why that is important and what kind of an impact it has had on the community around AstroPy?

    Picks

    • Tobias
      • Citizen Ex
      • piprot
      • Open Culture

    • Chris
      • The Allusionist
      • Criminal
      • Hardcore History

    • Erik
      • HubbleSite
      • Great Courses – History of the Ancient World

    Keep In Touch

    • astropy.org
    • AstroPy User Mailing List
    • AstroPy Dev Mailing List

    Links

    • tutorials.astropy.org
    • AstroQuery
    • Cython

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

    Dariusz Suchojad on Zato Nov 13, 2015
    Show notes

    Visit our site to listen to past episodes, support the show, and sign up for our mailing list.

    Summary

    Service integration platforms have traditionally been the realm of Java projects. Zato is a project that shows Python is a great choice for systems integration due to its flexibility and wealth of useful libraries. In this episode we had the opportunity to speak with Dariusz Suchojad, the creator of Zato about why he decided to make it and what makes it interesting. Listen to the episode and then take it for a spin.

    Brief Introduction

    • Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great.
    • Subscribe on iTunes, Stitcher, TuneIn or RSS
    • Follow us on Twitter or Google+
    • Give us feedback! Leave a review on iTunes, Tweet to us, send us an email, leave us a message on Google+, or leave a comment on our show notes
    • 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
    • I would also like to thank Hired, a job marketplace for developers, for sponsoring this episode of Podcast.__init__. Use the link hired.com/podcastinit to double your signing bonus.
    • Linode is also sponsoring us this week. Check them out at linode.com/podcastinit and get a $10 credit to try out their fast and reliable Linux virtual servers for your next project.
    • We are recording today on October 27th, 2015 and your hosts as usual are Tobias Macey and Chris Patti
    • Today we are interviewing Dariusz Suchojad about Zato

    Interview with Dariusz Suchojad

    • Introductions
    • How did you get introduced to Python?
    • Can you explain what Zato is and what motivated you to create it?
    • What makes Zato stand out from other service bus implementations?
    • What are some signs that someone should consider incorporating Zato into their software architecture?
    • Does zato perform well in restricted resource environments like ec2? What performance bottlenecks are common when using zato?
    • It seems that most other ESB projects are written in Java. What advantages does Python have over Java for this kind of project and in what ways is it inferior?
    • The architectural nature of ESBs are such that they form the central backbone of a software system. How have you been able to ensure an appropriate level of reliability and stability in Zato while still delivering new features and improvements?
    • What are the scalability and high availability characteristics of Zato?
    • Does zato run well using pypy?
    • For anyone wanting to use Zato, what are the infrastructure requirements for deployment?
    • What are some of the security ramifications you took into account in zato’s design?
    • What are some of the most novel uses for Zato that you have seen or heard about?

    Picks

    • Tobias
      • SPY
      • Eric Royer’s One Man Band
      • pip-tools

    • Chris
      • Rational Security
      • New Rustacean Podcast
      • Johan Goes to Mexico

    • Dariusz
      • Sublime Text Editor

    Keep In Touch

    • zato.io
    • Twiter
    • Github

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

    Tom Rothamel on Ren’Py Nov 06, 2015
    Show notes

    Visit our site to listen to past episodes, support the show, and sign up for our mailing list.

    Summary

    Tom Rothamel is an embedded systems engineer who spends his free time working on Ren’Py, a visual novel engine written in Python. Ren’Py allows you to write interactive fiction experiences and deploy them across desktop and mobile platforms. By creating a purpose-built DSL for describing the interactions, users of Ren’Py can focus on crafting polished experiences without fighting through the vagaries of programming languages, while still providing access to the internals when necessary. Listen to our interview with Tom to learn more about this long-running project and what makes it so interesting.

    Brief Introduction

    • Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great.
    • Subscribe on iTunes, Stitcher, TuneIn or RSS
    • Follow us on Twitter or Google+
    • Give us feedback! Leave a review on iTunes, Tweet to us, send us an email or leave us a message on Google+
    • 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
    • I would also like to thank Hired, a job marketplace for developers, for sponsoring this episode of Podcast.__init__. Use the link hired.com/podcastinit to double your signing bonus.
    • Linode is also sponsoring us this week. Check them out at linode.com/podcastinit and get a $10 credit to try out their fast and reliable Linux virtual servers for your next project.
    • We are recording today on October 19th, 2015 and your hosts as usual are Tobias Macey and Chris Patti
    • Today we are interviewing Tom Rothamel about RenPy
    Hired LogoOn Hired software engineers & designers can get 5+ interview requests in a week and each offer has salary and equity upfront. With full time and contract opportunities available, users can view the offers and accept or reject them before talking to any company. Work with over 2,500 companies from startups to large public companies hailing from 12 major tech hubs in North America and Europe. Hired is totally free for users and If you get a job you’ll get a $2,000 “thank you” bonus. If you use our special link to signup, then that bonus will double to $4,000 when you accept a job. If you’re not looking for a job but know someone who is, you can refer them to Hired and get a $1,337 bonus when they accept a job.

    Interview with Tom Rothamel

    • Introductions
    • How did you get introduced to Python?
    • What is Ren’Py and what was your inspiration for starting it?
    • I noticed that Ren’Py supports a number of different styles of gameplay. Can you explain the differences between interactive fiction, kinetic fiction and RPGs?
    • I notice that RenPy has clearly been around a while (Some of the games for OSX are PowerPC binaries!) – what problems have you encountered maintaining such a long lived project and keeping it current?
    • What libraries does Ren’Py leverage and how did you go about selecting them to allow for cross-platform development and deployment?
    • What underlying Python graphics toolkit does RenPy use for display, and how did that choice affect RenPy’s design?
    • While reading through the quickstart in the documentation I noticed that there is a special syntax that you have created for defining the dialog and narratives. Can you explain how you created the DSL for building the storylines?
    • It feels to me like RenPy was heavily inspired by the JRPG genre and as such there are games where sex plays a prominent role(I noticed a mention of Hentai in the docs), which is less readily accepted in the west. Have you ever encountered any pushback on this issue?
    • I noticed that some of the games that were created with Ren’Py are available on the Steam platform. What elements of the Ren’Py project lend themselves to producing games with enough polish to be published on such a mainstream platform?
    • If you were just starting out today implementing RenPy, would you still use Python? Why?

    Picks

    • Tobias
      • DJ Logic
      • git-extras
      • Radon

    • Chris
      • Narcos
      • The Rust Programming Language
      • Kent Falls Brewing Shower Beer

    • Tom
      • Cython
      • NPR One
      • The Seinfeld Method

    Keep In Touch

    • renpy.org
    • Twitter

    Links

    • Long Live The Queen
    • Moonlight Walks

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

    Anthony Scopatz on Xonsh Oct 31, 2015
    Show notes

    Visit our site to listen to past episodes, support the show, and sign up for our mailing list.

    Summary

    Anthony Scopatz is the creator of the Python shell Xonsh in addition to his work as a professor of nuclear physics. In this episode we talked to him about why he created Xonsh, how it works, and what his goals are for the project. It is definitely worth trying out Xonsh as it greatly simplifies the day-to-day use of your terminal environment by adding easily accessible python interoperability.

    Brief Introduction

    • Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great.
    • Subscribe on iTunes, Stitcher, TuneIn or RSS
    • Follow us on Twitter or Google+
    • Give us feedback! Leave a review on iTunes, Tweet to us, send us an email or leave us a message on Google+
    • 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
    • I would also like to thank Hired, a job marketplace for developers, for sponsoring this episode of Podcast.__init__. Use the link hired.com/podcastinit to double your signing bonus.
    • Linode is also sponsoring us this week. Check them out at linode.com/podcastinit and get a $10 credit to try out their fast and reliable Linux virtual servers for your next project
    • We are recording today on October 12th, 2015 and your hosts as usual are Tobias Macey and Chris Patti
    • Today we are interviewing Anthony Scopatz about Xonsh
    Hired LogoOn Hired software engineers & designers can get 5+ interview requests in a week and each offer has salary and equity upfront. With full time and contract opportunities available, users can view the offers and accept or reject them before talking to any company. Work with over 2,500 companies from startups to large public companies hailing from 12 major tech hubs in North America and Europe. Hired is totally free for users and If you get a job you’ll get a $2,000 “thank you” bonus. If you use our special link to signup, then that bonus will double to $4,000 when you accept a job. If you’re not looking for a job but know someone who is, you can refer them to Hired and get a $1,337 bonus when they accept a job. Linode Sponsor BannerUse the promo code podcastinit10 to get a $10 credit when you sign up!

    Interview with Anthony Scopatz

    • Introductions
    • How did you get introduced to Python?
    • Can you explain what Xonsh is and your motivation for creating it?
    • For people transitioning to Xonsh from a shell like Bash or Zsh, what are some of the biggest differences that they will see?
    • What are some really powerful one-liners that showcase Xonsh’s capabilities?
    • What is it about Python that lends itself to this kind of a project and what are your thoughts on building something like Xonsh in another language such as Ruby or Node.js?
    • If you had to single out one killer feature that Xonsh brings to the table, what would that be?
    • Is it possible to specify which shell, such as bash or zsh, gets used in subprocess mode?
    • I started using the Xonsh shell as my daily terminal recently and have been enjoying it so far. One of the things that I have been wondering is how to hook into the completion system to provide eldoc style completion from parsing the output of help flags. Do you have any advice on where to start? Perhaps using the docopt library to handle parsing of help output and generate completions from that?
    • What are your thoughts on adding a section to the project documentation for people to list various extension modules that people can take advantage of? Or perhaps creating something along the lines of Oh my Xonsh?
    • How do bash function definitions interoperate with the Xonsh environment and functions defined in Python?
    • It seems as though there could be some potential path or compatibility issues when moving between virtual environments and having access to extension modules loaded into Xonsh. Can you shed some light on that?
    • Do you have any suggestions for people who may not have the privileges to set their own login shell but who want to try Xonsh?
    • What are some of the most interesting uses of Xonsh that you have seen?
    • What does the future hold for the Xonsh project and how can our audience help?

    Picks

    • Tobias
      • Mortdecai
      • Alembic
      • SQLAlchemy
      • population.io

    • Chris
      • Consider Phlebas
      • The Martian – Movie
      • Fantastic Planet

    • Anthony
      • The Worst Journey In The World

    Keep In Touch

    • Mailing List
    • xonsh.org
    • #xonsh on OFTC
    • GitHub
    • Twitter: @scopatz

    Links

    • Effective Computation in Physics
    • Python Prompt Toolkit

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

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