The Python Podcast.__init__

The Python Podcast.__init__

By Tobias MaceyTechnologyEducation
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The Python Podcast.__init__ episodes

  • Python at Zalando
    Summary

    Open source has proven its value in many ways over the years. In many companies that value is purely in terms of consuming available projects and platforms. In this episode Zalando describes their recent move to creating and releasing a number of their internal projects as open source and how that has benefited their business. We also discussed how they are leveraging Python and a couple of the libraries that they have published.

    Brief Introduction
    • Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great.
    • I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com
    • Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project
    • Rollbar is also sponsoring us this week. Rollbar is a service for tracking and aggregating your application errors so that you can find and fix the bugs in your application before your users notice they exist. Use the link rollbar.com/podcastinit to get 90 days and 300,000 errors for free on their bootstrap plan.
    • Hired has also returned as a sponsor this week. If you’re looking for a job as a developer or designer then Hired will bring the opportunities to you. Sign up at hired.com/podcastinit to double your signing bonus.
    • Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch.
    • To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers
    • Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas.
    • Your hosts as usual are Tobias Macey and Chris Patti
    • Today we’re interviewing Jie Bao and João Santos about their use of Python at Zalando
    • Interview with Zalando
      • Introductions
      • How did you get introduced to Python? – Tobias
      • Can you start by telling us a bit about what Zalando does and some of the technologies that you use? – Tobias
      • What role does Python play in your environment? – Tobias
      • Is the use of Python for a particular project governed by any particular operational guidelines or is it largely a matter of developer choice? – Tobias
      • Given that you have such a variety of platforms to support, how do you architect your systems to keep them easy to maintain and reason about? – Tobias
      • One of the projects that you have open sourced is Connexion. Can you explain a bit about what that is and what it is used for at Zalando? – Tobias
      • What made you choose to standardize on Swagger/OpenAPI vs RAML or some of the other API standards? – Tobias
      • Did Connexion start its life as open source or was it extracted from another project? – Tobias
      • ExpAn is another one of your projects that is written in Python. What do you use that for? – Tobias
      • Can you describe the internal implementation of ExpAn and what it takes to get it set up? – Tobias
      • Given the potential complexity of and the need for statistical significance in the data for proper A/B testing, how did you design ExpAn to satisfy those requirements? – Tobias
      • Given the laws in Germany around digital privacy, were there any special considerations that needed to be made in the collection strategy for the data that gets used in ExpAn? – Tobias
      • Keep In Touch
        • João
          • Twitter

          • Jie

            • Twitter

            • Laurie

              • Twitter

              • Picks
                • Tobias
                  • Hacker’s Keyboard

                  • Jie

                    • Shah of Shahs by Ryszard Kapuściński

                    • João

                      • Serendipity

                      • Laurie

                        • Flow)

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

                          41 min
                        • Alex Martelli
                          Summary

                          Alex Martelli has dedicated a large part of his career to teaching others how to work with software. He has the highest number of Python questions answered on Stack Overflow, he has written and co-written a number of books on Python, and presented innumerable times at conferences in multiple countries. We spoke to him about how he got started in software, his work with Google, and the trends in development and design patterns that are shaping modern software engineering.

                          Brief Introduction
                          • Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great.
                          • I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com
                          • Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project
                          • We also have a returning sponsor this week. Rollbar is a service for tracking and aggregating your application errors so that you can find and fix the bugs in your application before your users notice they exist. Use the link rollbar.com/podcastinit to get 90 days and 300,000 errors for free on their bootstrap plan.
                          • Hired is sponsoring us this week. If you’re looking for a job as a developer or designer then Hired will bring the opportunities to you. Sign up at hired.com/podcastinit to double your signing bonus.
                          • Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch.
                          • To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers.
                          • Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas.
                          • Your hosts as usual are Tobias Macey and Chris Patti
                          • Today we’re interviewing Alex Martelli
                          • Interview with Alex Martelli
                            • Introductions
                            • How did you get introduced to Python? – Chris
                            • You have achieved a number of honors and recognitions throughout your career for significant technical achievements. What kind of learning strategies do you use to enable you to achieve mastery of technical topics? – Tobias
                            • How do you keep the Python In A Nutshell book current as aspects of the core language and its libraries change? – Chris
                            • You are known for your prolific contributions to Stack Overflow, particularly on topics pertaining to Python. Was that a specific goal that you had set for yourself or did it happen organically? – Tobias
                            • When answering Stack Overflow questions, do you usually already know the answers or do you treat it as a learning opportunity? – Tobias
                            • What are some of the most difficult Python questions that you have been faced with? – Tobias
                            • You have presented quite a number of times at various Python conferences. What are some of your favorite talks? – Tobias
                            • Design patterns and idiomatic code are common themes in a number of your presentations. Why is it important for developers to understand these concepts and what are some of your favorite resources on the topic? – Tobias
                            • What do you see as the most influential trends in software development and design, both currently and heading into the future? – Tobias
                            • As a long-time computer engineer, are there any features or ideas from other languages that you would like to see incorporated into Python?
                            • Picks
                              • Tobias
                                • The Great Gatsby Movie

                                • Chris

                                  • Stone Ruination Double IPA
                                  • Ghost Soldiers

                                  • Alex

                                    • Alexander Hamilton by Ron Chernow
                                    • Hamilton Musical

                                    • Links
                                      • Permission or Forgiveness
                                      • Good enough is good enough
                                      • Modern Python Patterns and Idioms
                                      • Handling Errors and Exceptions in Modern Python
                                      • Microservices
                                      • Google SRE Book
                                      • Python In A Nutshell use code AUTHD for a discount
                                      • The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

                                        1 hr 5 min
                                      • Dave Beazley
                                        Summary

                                        Dave Beazley has been using and teaching Python since the early days of the language. He has also been instrumental in spreading the gospel of asynchronous programming and the many ways that it can improve the performance of your programs. This week I had the pleasure of speaking with him about his history with the language and some of his favorite presentations and projects.

                                        Brief Introduction
                                        • Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great.
                                        • I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com
                                        • Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project
                                        • We are also sponsored by Sentry this week. Stop hoping your users will report bugs. Sentry’s real-time tracking gives you insight into production deployments and information to reproduce and fix crashes. Check them out at getsentry.com and use the code podcastinit at signup to get a $50 credit!
                                        • Hired has also returned as a sponsor this week. If you’re looking for a job as a developer or designer then Hired will bring the opportunities to you. Sign up at hired.com/podcastinit to double your signing bonus.
                                        • Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch.
                                        • To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers
                                        • Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas.
                                        • Your hosts as usual are Tobias Macey and Chris Patti
                                        • Today we’re interviewing Dave Beazley about his career with Python
                                        • Interview with Dave Beazley
                                          • Introductions
                                          • How did you get introduced to Python? – Tobias
                                          • How has Python and its community helped to shape your career? – Tobias
                                          • What are some of the major themes that you have focused on in your work? – Tobias
                                          • One of the things that you are known for is doing live-coding presentations, many of which are fairly advanced. What is it about that format that appeals to you? – Tobias
                                            • What are some of your favorite stories about a presentation that didn’t quite go as planned? – Tobias

                                            • You have given a large number of talks at various conferences. What are some of your favorites? – Tobias

                                            • What impact do you think that asynchronous programming will have on the future of the Python language and ecosystem? – Tobias

                                            • Are there any features that you see in other languages that you would like to have incorporated in Python? – Tobias

                                            • On the about page for your website you talk about some of the low-level code and hardware knowledge that you picked up by working with computers as a kid. Do you think that people who are getting started with programming now are missing out by not getting exposed to the kinds of hardware and software that was present before computing became mainstream?

                                            • You have had the opportunity to work on a large variety of projects, both on a hobby and professional level. What are some of your favorites? – Tobias

                                            • What is it about Python that has managed to hold your interest for so many years? – Tobias

                                            • Keep In Touch
                                              • Twitter
                                              • Picks
                                                • Tobias
                                                  • Criminal

                                                  • Dave

                                                    • Samuel Beckett Plays

                                                    • Links
                                                      • Python Concurrency From The Ground Up
                                                      • XKCD compiling
                                                      • Clifford Stoll
                                                      • Superboard talk
                                                      • Curio
                                                      • PyOhio async talk
                                                      • The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

                                                        46 min
                                                      • GenSim with Radim Řehůřek
                                                        Being able to understand the context of a piece of text is generally thought to be the domain of human intelligence. However, topic modeling and semantic analysis can be used to allow a computer to determine whether different messages and articles are about the same thing. This week we spoke with Radim Řehůřek about his work on GenSim, which is a Python library for performing unsupervised analysis of unstructured text and applying machine learning models to the problem of natural language understanding.
                                                        54 min
                                                      • GenSim with Radim Řehůřek
                                                        Summary

                                                        Being able to understand the context of a piece of text is generally thought to be the domain of human intelligence. However, topic modeling and semantic analysis can be used to allow a computer to determine whether different messages and articles are about the same thing. This week we spoke with Radim Řehůřek about his work on GenSim, which is a Python library for performing unsupervised analysis of unstructured text and applying machine learning models to the problem of natural language understanding.

                                                        Brief Introduction
                                                        • Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great.
                                                        • I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com
                                                        • Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project
                                                        • We are also sponsored by Sentry this week. Stop hoping your users will report bugs. Sentry’s real-time tracking gives you insight into production deployments and information to reproduce and fix crashes. Check them out at getsentry.com and use the code podcastinit at signup to get a $50 credit on your account.
                                                        • Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch.
                                                        • To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers
                                                        • Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas.
                                                        • Your hosts as usual are Tobias Macey and Chris Patti
                                                        • Today we’re interviewing Radim Řehůřek about Gensim, a library for topic modeling and semantic analysis of natural language.
                                                        • Interview with Radim Řehůřek
                                                          • Introductions
                                                          • How did you get introduced to Python? – Chris
                                                          • Can you start by giving us an explanation of topic modeling and semantic analysis? – Tobias
                                                          • What is Gensim and what inspired you to create it? – Tobias
                                                          • What facilities does Gensim provide to simplify the work of this kind of language analysis? – Tobias
                                                          • Can you describe the features that set it apart from other projects such as the NLTK or Spacy? – Tobias
                                                          • What are some of the practical applications that Gensim can be used for? – Tobias
                                                          • One of the features that stuck out to me is the fact that Gensim can process corpora on disk that would be too large to fit into memory. Can you explain some of the algorithmic work that was necessary to allow for this streaming process to be possible? – Tobias
                                                            • Given that it can handle streams of data, could it also be used in the context of something like Spark? – Tobias

                                                            • Gensim also supports unsupervised model building. What kinds of limitations does this have and when would you need a human in the loop? – Tobias

                                                              • Once a model has been trained, how does it get saved and reloaded for subsequent use? – Tobias

                                                              • What are some of the more unorthodox or interesting uses people have put Gensim to that you’ve heard about? – Chris

                                                              • In addition to your work on Gensim, and partly due to its popularity, you have started a consultancy for customers who are interested in improving their data analysis capabilities. How does that feed back into Gensim? – Tobias

                                                              • Are there any improvements in Gensim or other libraries that you have made available as a result of issues that have come up during client engagements? – Tobias

                                                              • Is it difficult to find contributors to Gensim because of its advanced nature? – Tobias

                                                              • Are there any resources you’d like to recommend our listeners explore to get a more in depth understanding of topic modeling and related techniques? – Chris

                                                              • Keep In Touch
                                                                • RaRe Technologies
                                                                • Twitter
                                                                • Email
                                                                • Github
                                                                • Mailing List
                                                                • Picks
                                                                  • Tobias
                                                                    • Dark Matter and the Dinosaurs by Lisa Randall

                                                                    • Chris

                                                                      • m-cli

                                                                      • Radim

                                                                        • 1177 BC: The Year Civilization Collapsed

                                                                        • Links
                                                                          • Nadia Eghbal
                                                                          • Gensim
                                                                          • SQL Addict
                                                                          • NLTK
                                                                          • Spacy
                                                                          • Latent Dirichlet Allocation (LDA)
                                                                          • LSI
                                                                          • Keynote in Italy on distributed processing
                                                                          • Google Scholar references for Gensim
                                                                          • Stylometric analysis
                                                                          • On Writing Well
                                                                          • Student Incubator
                                                                          • Wikipedia on topic modeling
                                                                          • The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

                                                                            54 min
                                                                          • Python on Windows with Steve Dower
                                                                            Summary

                                                                            In order for Python to continue to attract new users, we need to have an easy way for people to get started with it, and Windows is still the most widely used operating system among computers. Steve Dower is the build maintainer for the Windows installers of Python and this week we spoke with him about his work in that role. He told us about the changes that he has made to the installer to make it easier for new users to get started and how modern updates to the packaging ecosystem for libraries has simplified dependency management. He also told us about how the Visual Studio team is building a set of tools to make development of Python code more enjoyable and how Microsoft’s adoption of open source is making Windows a more attractive platform for developers.

                                                                            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.
                                                                            • Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $20 credit to try out their fast and reliable Linux virtual servers for your next project
                                                                            • We are also sponsored by Sentry this week. Stop hoping your users will report bugs. Sentry’s real-time tracking gives you insight into production deployments and information to reproduce and fix crashes. Check them out at getsentry.com and use the code podcastinit at signup to get a $50 credit on your account!
                                                                            • Visit our site to subscribe to our show, sign up for our newsletter, read the show notes, and get in touch.
                                                                            • To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers
                                                                            • Join our community! Visit discourse.pythonpodcast.com for your opportunity to find out about upcoming guests, suggest questions, and propose show ideas.
                                                                            • Your hosts as usual are Tobias Macey and Chris Patti
                                                                            • Today we’re interviewing Steve Dower about Python on Windows
                                                                            • Interview with Steve Dower
                                                                              • Introductions
                                                                              • How did you get introduced to Python? – Chris
                                                                              • You are currently the release manager for Python on Windows. How did you end up with that responsibility? – Tobias
                                                                              • While Python has supported Windows for a long time, the overall experience has historically been rather poor. Can you give a bit of the background of why that was and tell us about some of the work that you and others have been doing to make it better? – Tobias
                                                                              • Given that a large percentage of users are still on Windows, having a good story for getting started with Python on that platform is important for adoption of the language. What are some of the areas where the current situation needs to be improved? – Tobias
                                                                              • What is the most difficult part of building a distribution of Python for a Windows environment? Has it gotten easier in recent years? – Tobias
                                                                              • When we were speaking at PyCon you mentioned that the most frequently downloaded version of Python from the python.org site is the 32 bit version for Windows. Do you think that is an accurate and useful metric? What other statistics do you wish you could capture or improve? – Tobias
                                                                              • How does Python Tools for Visual Studio compare with other Python IDEs like Pycharm? – Chris
                                                                              • What are some unique features that Python Tools for Visual Studio offers that other tools don’t? – Chris
                                                                              • Are there any compelling aspects of developing Python on Windows that could convince users on other platforms to make the switch? – Tobias
                                                                              • Could you give our listeners a whirlwind tour of the underlying implementation of PTVS? How does Visual Studio provide such in depth introspection for your Python code? – Chris
                                                                              • Keep In Touch
                                                                                • Twitter
                                                                                • Github
                                                                                  • Microsoft
                                                                                  • Azure

                                                                                  • steve.dower

                                                                                  • Picks
                                                                                    • Tobias
                                                                                      • Kdiff3
                                                                                      • SpyderCo Triangle Sharpmaker

                                                                                      • Chris

                                                                                        • Audible

                                                                                        • Steve

                                                                                          • Sandisk Extreme Portable SSD
                                                                                          • SMBC
                                                                                          • Random Encounters

                                                                                          • Links
                                                                                            • Windows compilers
                                                                                              • Visual C++ Build Tools (for Python 3.5 and later)
                                                                                              • Visual C++ Compiler for Python 2.7

                                                                                              • PEP 514

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

                                                                                                55 min
                                                                                              • PyCon Canada with Francis Deslauriers and Peter McCormick
                                                                                                Aside from the national Python conferences such as PyCon US and EuroPyCon there are a number of regional conferences that operate at a smaller scale to service their local communities. This week we interviewed Peter McCormick and Francis Deslauriers about their work organizing PyCon Canada to provide a venue for Canadians to talk about how they are using the language. If you happen to be near Toronto in November then you should get a ticket and help contribute to their success!
                                                                                                46 min

                                                                                              About The Python Podcast.__init__

                                                                                              From the publisher's feed

                                                                                              The podcast about Python and the people who make it great

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