The Python Podcast.init

By Tobias MaceyTechnology Education

The Python Podcast.init episodes

January 06, 2020Checking Up On Python's Role in DevOps
Summary
Python has been part of the standard toolkit for systems administrators since it was created. In recent years there has been a shift in how servers are deployed and managed, and how code gets released due to the rise of cloud computing and the accompanying DevOps movement. The increased need for automation and speed of iteration has been a perfect use case for Python, cementing its position as a powerful tool for operations. In this episode Moshe Zadka reflects on his experiences using Python in a DevOps context and the book that he wrote on the subject. He also discusses the difference in what aspects of the language are useful as an introduction for system operators and where they can continue their learning.
Announcements
Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great.
When you’re ready to launch your next app or want to try a project you hear about on the show, you’ll need somewhere to deploy it, so take a look at our friends over at Linode. With 200 Gbit/s private networking, scalable shared block storage, node balancers, and a 40 Gbit/s public network, all controlled by a brand new API you’ve got everything you need to scale up. And for your tasks that need fast computation, such as training machine learning models, they just launched dedicated CPU instances. Go to pythonpodcast.com/linode to get a $20 credit and launch a new server in under a minute. And don’t forget to thank them for their continued support of this show!
You listen to this show to learn and stay up to date with the ways that Python is being used, including the latest in machine learning and data analysis. For even more opportunities to meet, listen, and learn from your peers you don’t want to miss out on this year’s conference season. We have partnered with organizations such as O’Reilly Media, Corinium Global Intelligence, ODSC, and Data Council. Upcoming events include the Software Architecture Conference in NYC, Strata Data in San Jose, and PyCon US in Pittsburgh. Go to pythonpodcast.com/conferences to learn more about these and other events, and take advantage of our partner discounts to save money when you register today.
Your host as usual is Tobias Macey and today I’m interviewing Moshe Zadke about his recent book DevOps In Python
Interview
Introductions
How did you get introduced to Python?
How did you gain experience in managing systems with Python?
What is DevOps?
What makes Python a good fit for managing systems?
What is unique to the devops/sysadmin domain in terms of what software is used and what aspects of the language are useful?
What are the main ways that Python is used for managing servers and infrastructure?
What are some of the most notable changes in the ways that Python is used for server administration over the past several years?
How has Python3 impacted the lives of operators?
What was your motivation for writing a book about Python focused specifically on DevOps and server automation?
What are some of the tools that have been replaced in your own workflow over the years?
Keep In Touch
Website
LinkedIn
@moshezadka on Twitter
Picks
Tobias
SaltStack
Podcast Episode
Moshe
Automat
Podcast Episode
Closing Announcements
Thank you for listening! Don’t forget to check out our other show, the Data Engineering Podcast for the latest on modern data management.
Visit the site to subscribe to the show, sign up for the mailing list, and read the show notes.
If you’ve learned something or tried out a project from the show then tell us about it! Email [email protected]) with your story.
To help other people find the show please leave a review on iTunes and tell your friends and co-workers
Join the community in the new Zulip chat workspace at pythonpodcast.com/chat
Links
DevOps In Python
SurveyMonkey
Twisted Episode
DevOps
B=hive
CI/CD
Amoeba OS
Python OS module
Requests
Canary Deployments
Post Mortem
Bash Shell
Z Shell
Linux
Unix
AWS
Boto3
GitHub
GitLab
Debian
Ubuntu
CentOS
Pip
Poetry
Pipenv
pip-tools
dh-virtualenv
Docker
Hyneck Schlaweck Presentation On Building Docker Images
Ansible
SaltStack
Chef
Puppet
The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA
34 min
December 23, 2019 Python's Built In IDE Isn't Just Sitting IDLE
One of the first challenges that new programmers are faced with is figuring out what editing environment to use. For the past 20 years, Python has had an easy answer to that question in the form of IDLE. In this episode Tal Einat helps us explore its history, the ways it is used, how it was built, and what is in store for its future. Even if you have never used the IDLE editor yourself, it is still an important piece of Python's strength and history, and this conversation helps to highlight why that is.
37 min
December 23, 2019Python's Built In IDE Isn't Just Sitting IDLE
Summary
One of the first challenges that new programmers are faced with is figuring out what editing environment to use. For the past 20 years, Python has had an easy answer to that question in the form of IDLE. In this episode Tal Einat helps us explore its history, the ways it is used, how it was built, and what is in store for its future. Even if you have never used the IDLE editor yourself, it is still an important piece of Python’s strength and history, and this conversation helps to highlight why that is.
Announcements
Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great.
When you’re ready to launch your next app or want to try a project you hear about on the show, you’ll need somewhere to deploy it, so take a look at our friends over at Linode. With 200 Gbit/s private networking, scalable shared block storage, node balancers, and a 40 Gbit/s public network, all controlled by a brand new API you’ve got everything you need to scale up. And for your tasks that need fast computation, such as training machine learning models, they just launched dedicated CPU instances. Go to pythonpodcast.com/linode to get a $20 credit and launch a new server in under a minute. And don’t forget to thank them for their continued support of this show!
You listen to this show to learn and stay up to date with the ways that Python is being used, including the latest in machine learning and data analysis. For even more opportunities to meet, listen, and learn from your peers you don’t want to miss out on this year’s conference season. We have partnered with organizations such as O’Reilly Media, Corinium Global Intelligence, ODSC, and Data Council. Upcoming events include the Software Architecture Conference in NYC, Strata Data in San Jose, and PyCon US in Pittsburgh. Go to pythonpodcast.com/conferences to learn more about these and other events, and take advantage of our partner discounts to save money when you register today.
Your host as usual is Tobias Macey and today I’m interviewing Tal Einat about the IDLE editor for Python, it’s history, and what is in store for its future
Interview
Introductions
How did you get introduced to Python?
For anyone who hasn’t used it, can you start by explaining what IDLE is?
IDLE has been part of the standard library for Python for quite some time now. What was the motivation for adding it to the core of Python?
How has the evolution of our computing environment changed the motivation for maintaining IDLE and the use cases that it is most beneficial for?
What are the benefits of including a basic editor in the default distribution of Python?
What are some of the ways in which it is often used?
What are the limiting factors that lead users to other IDEs or text editors?
What role do you think IDLE has played in the growth of Python?
What was your motivation for getting involved as a Python contributor and working on the implementation of IDLE?
How is IDLE implemented and what are some of the ways that it has evolved since its initial introduction?
How well has the code for IDLE aged as new features and capabilities are added to the language?
What are some of the integration points available for extending IDLE?
What are some of the most interesting or innovative ways that you have seen IDLE used and extended?
What is planned for the future of the IDLE module?
Keep In Touch
LinkedIn
@TalEinat on Twitter
taleinat on GitHub
Picks
Tobias
Mr. Robot
Tal
Captain Fantastic
The Lesson To Unlearn article by Paul Graham
Closing Announcements
Thank you for listening! Don’t forget to check out our other show, the Data Engineering Podcast for the latest on modern data management.
Visit the site to subscribe to the show, sign up for the mailing list, and read the show notes.
If you’ve learned something or tried out a project from the show then tell us about it! Email [email protected]) with your story.
To help other people find the show please leave a review on iTunes and tell your friends and co-workers
Join the community in the new Zulip chat workspace at pythonpodcast.com/chat
Links
IDLE
FullProof
Israel
Mandatory Military Service
Eric Idle
Monty Python
Visual Studio
IDLE-fork
Vi
Emacs
Sublime Text
Visual Studio Code
REPL == Read Eval Print Loop
Tcl/Tk
Tkinter
RPC == Remote Procedure Call
IDLEx
VPython
Podcast Episode
Python Turtle
SVN (Subversion)
The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA
37 min
December 16, 2019 Riding The Rising Tides Of Python
The past two decades have seen massive growth in the language, community, and ecosystem of Python. The career of Pete Fein has occurred during that same period and his use of the language has paralleled some of the major shifts in focus that have occurred. In this episode he shares his experiences moving from a trader writing scripts, through the rise of the web, to the current renaissance in data. He also discusses how his engagement with the community has evolved, why he hasn't needed to use any other languages in his career, and what he is keeping an eye on for the future.
45 min
December 16, 2019Riding The Rising Tides Of Python
Summary
The past two decades have seen massive growth in the language, community, and ecosystem of Python. The career of Pete Fein has occurred during that same period and his use of the language has paralleled some of the major shifts in focus that have occurred. In this episode he shares his experiences moving from a trader writing scripts, through the rise of the web, to the current renaissance in data. He also discusses how his engagement with the community has evolved, why he hasn’t needed to use any other languages in his career, and what he is keeping an eye on for the future.
Announcements
Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great.
When you’re ready to launch your next app or want to try a project you hear about on the show, you’ll need somewhere to deploy it, so take a look at our friends over at Linode. With 200 Gbit/s private networking, scalable shared block storage, node balancers, and a 40 Gbit/s public network, all controlled by a brand new API you’ve got everything you need to scale up. And for your tasks that need fast computation, such as training machine learning models, they just launched dedicated CPU instances. Go to pythonpodcast.com/linode to get a $20 credit and launch a new server in under a minute. And don’t forget to thank them for their continued support of this show!
You listen to this show to learn and stay up to date with the ways that Python is being used, including the latest in machine learning and data analysis. For even more opportunities to meet, listen, and learn from your peers you don’t want to miss out on this year’s conference season. We have partnered with organizations such as O’Reilly Media, Dataversity, Corinium Global Intelligence, Alluxio, and Data Council. Upcoming events include the combined events of the Data Architecture Summit and Graphorum, the Data Orchestration Summit, and Data Council in NYC. Go to pythonpodcast.com/conferences to learn more about these and other events, and take advantage of our partner discounts to save money when you register today.
Your host as usual is Tobias Macey and today I’m interviewing Pete Fein about his voyage on the rising tide of Python
Interview
Introductions
How did you get introduced to Python?
I understand that you have used Python exclusively in your professional life. What other languages have you been exposed to and taken inspiration from?
What are some of the projects that you have been involved with which you are most proud of?
How has the community and your involvement with it changed over the years?
In your experience, how has the growth in the size and breadth of the community impacted its accessibility to newcomers?
You have been using Python and participating in the community for quite some time now, and there have been significant changes in both within that period. What are some of the most significant technological shifts that you have noticed and been a part of?
How have those shifts influenced the direction of your career?
As you have moved through the different phases of your career with different areas of focus, what are some of the aspects of the work which have remained constant?
What have been the biggest differences across the different problem domains?
What are some of the aspects of the language or its ecosystem which you feel are lacking or don’t get enough attention?
What are some of the industry trends which you are keeping a close eye on and how do you anticipate them influencing the direction of the community and your career in the upcoming years?
Keep In Touch
Consulting Website
Personal Website
@wearpants on Twitter
LinkedIn
wearpants on GitHub
Picks
Tobias
Matomo Analytics
Pete
FastAPI
PyDantic
Closing Announcements
Thank you for listening! Don’t forget to check out our other show, the Data Engineering Podcast for the latest on modern data management.
Visit the site to subscribe to the show, sign up for the mailing list, and read the show notes.
If you’ve learned something or tried out a project from the show then tell us about it! Email [email protected]) with your story.
To help other people find the show please leave a review on iTunes and tell your friends and co-workers
Join the community in the new Zulip chat workspace at pythonpodcast.com/chat
Links
Chicago
Scheme
Structure and Interpretation of Computer Programs
David Beazley
Podcast Episode
Twiggy logging library
Jesse Noller
Log4J
Debian
RedHat
StructLog
Elliot
Podcast Episode
Logbook
Armin Ronacher
Podcast Episode
Pittsburgh Python Meetup
Boltons library
Elixir
ChiPy Chicago Python user group
Subversion
Ruby On Rails
Django
Data Engineering
Data Engineering Podcast
Internet of Things
Pittsburgh
Artificial Pancreas Project
Eric Holscher
Read The Docs
Podcast Episode
Circuit Playground Express
CircuitPython
Podcast Episode
Rust Language
PyOhio
PyGotham
The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA
45 min
December 09, 2019 Debugging Python Projects With PySnooper
Debugging is a painful but necessary practice in software development. The tools that are available in Python range from the built-in debugger, to tools integrated with your coding environment, to the trusty print function. In this episode Ram Rachum describes his work on PySnooper and how it can be used to speed up your problem solving in complex or legacy applications.
46 min
December 09, 2019Debugging Python Projects With PySnooper
Summary
Debugging is a painful but necessary practice in software development. The tools that are available in Python range from the built-in debugger, to tools integrated with your coding environment, to the trusty print function. In this episode Ram Rachum describes his work on PySnooper and how it can be used to speed up your problem solving in complex or legacy applications.
Announcements
Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great.
When you’re ready to launch your next app or want to try a project you hear about on the show, you’ll need somewhere to deploy it, so take a look at our friends over at Linode. With 200 Gbit/s private networking, scalable shared block storage, node balancers, and a 40 Gbit/s public network, all controlled by a brand new API you’ve got everything you need to scale up. And for your tasks that need fast computation, such as training machine learning models, or running your build servers, they just launched dedicated CPU instances. Go to pythonpodcast.com/linode to get a $20 credit and launch a new server in under a minute. And don’t forget to thank them for their continued support of this show!
You listen to this show to learn and stay up to date with the ways that Python is being used, including the latest in machine learning and data analysis. For even more opportunities to meet, listen, and learn from your peers you don’t want to miss out on this year’s conference season. We have partnered with organizations such as O’Reilly Media and the Python Software Foundation. Upcoming events include the Software Architecture Conference in NYC and PyCon US in Pittsburgh. Go to pythonpodcast.com/conferences to learn more about these and other events, and take advantage of our partner discounts to save money when you register today.
Your host as usual is Tobias Macey and today I’m interviewing Ram Rachum about PySnooper, an alternative approach to debugging your python projects
Interview
Introductions
How did you get introduced to Python?
How do developers normally debug their code, and what need does PySnooper address that isn’t addressed by the established methods?
What is the workflow for using PySnooper for investigating or debugging a project? (This will probably be answered in the answer to the question above)
What are some of the pieces of information that it surfaces and how do they aid the developer in directing their investigation?
What were some of the projects that you were testing it with and how did they influence the direction that you took PySnooper?
Can you describe how PySnooper is implemented and some of the ways that it has evolved since you first began working on it?
What are some of the initial goals that you had for the project which you have since abandoned as either not useful or too challenging to implement?
What are some of the edge cases or technical challenges that you have encountered while working on PySnooper, either in Python itself or in the tool?
There is another project called Snoop which builds on top of your work on PySnooper to add some extra functionality and developer ergonomics. What, if anything, was your reaction to it and how has it influenced your work on PySnooper?
One of the notable aspects of your work on PySnooper is the amount of attention that it garnered shortly after you published it. How has that visibility affected the long-term popularity and use of PySnooper?
What have been some of the most interesting, unexpected, or difficult aspects of creating, maintaining, and promoting PySnooper?
What do you have planned for the future of the project?
Keep In Touch
cool-RR on GitHub
Personal Website
Consulting Website
Picks
Tobias
PyCon US
Call for proposals
Registration
Ram
Nonviolent communication
Links
PySnooper
Ram’s Python workshops
The PyWeb-IL meetup
BlueVine’s career page Submit your CV to Ram’s email mailto:[email protected]
Tel Aviv Israel
Paul Graham
Y Combinator startup accelerator
Wing IDE
PyCharm
sys.settrace
Python f_trace
coverage.py
Podcast.init Interview
PEP == Python Enhancement Proposal
Podcast Episode
snoop project
Alex Hall
pdb
pudb
pdb++
The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA
46 min
December 03, 2019 Making Complex Software Fun And Flexible With Plugin Oriented Programming
Starting a new project is always exciting because the scope is easy to understand and adding new features is fun and easy. As it grows, the rate of change slows down and the amount of communication necessary to introduce new engineers to the code increases along with the complexity. Thomas Hatch, CTO and creator of SaltStack, didn't want to accept that as an inevitable fact of software, so he created a new paradigm and a proof-of-concept framework to experiment with it. In this episode he shares his thoughts and findings on the topic of plugin oriented programming as a way to build and scale complex projects while keeping them fun and flexible.
1 hr 3 min
December 03, 2019Making Complex Software Fun And Flexible With Plugin Oriented Programming
Summary
Starting a new project is always exciting because the scope is easy to understand and adding new features is fun and easy. As it grows, the rate of change slows down and the amount of communication necessary to introduce new engineers to the code increases along with the complexity. Thomas Hatch, CTO and creator of SaltStack, didn’t want to accept that as an inevitable fact of software, so he created a new paradigm and a proof-of-concept framework to experiment with it. In this episode he shares his thoughts and findings on the topic of plugin oriented programming as a way to build and scale complex projects while keeping them fun and flexible.
Announcements
Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great.
When you’re ready to launch your next app or want to try a project you hear about on the show, you’ll need somewhere to deploy it, so take a look at our friends over at Linode. With 200 Gbit/s private networking, scalable shared block storage, node balancers, and a 40 Gbit/s public network, all controlled by a brand new API you’ve got everything you need to scale up. And for your tasks that need fast computation, such as training machine learning models, they just launched dedicated CPU instances. Go to pythonpodcast.com/linode to get a $20 credit and launch a new server in under a minute. And don’t forget to thank them for their continued support of this show!
You listen to this show to learn and stay up to date with the ways that Python is being used, including the latest in machine learning and data analysis. For even more opportunities to meet, listen, and learn from your peers you don’t want to miss out on this year’s conference season. We have partnered with organizations such as O’Reilly Media, Dataversity, Corinium Global Intelligence, Alluxio, and Data Council. Upcoming events include the combined events of the Data Architecture Summit and Graphorum, the Data Orchestration Summit, and Data Council in NYC. Go to pythonpodcast.com/conferences to learn more about these and other events, and take advantage of our partner discounts to save money when you register today.
Your host as usual is Tobias Macey and today I’m interviewing Thomas Hatch about his work on the POP library and how he is using plugin oriented programming in his work at SaltStack
Interview
Introductions
How did you get introduced to Python?
Can you start by giving your definition of Plugin Oriented Programming and your thoughts on what benefits it provides?
You created the POP library as a framework for enabling developers to incorporate this pattern into their own projects. What capabilities does that framework provide and what was your motivation for creating it?
How has your work on Salt influenced your thinking on how to implement plugins for software projects?
How does POP fit into the future of the SaltStack project?
What are some of the advanced patterns or paradigms that the POP model allows for?
Can you describe how the POP library itself is implemented and some of the ways that its design has evolved since you first began experimenting with it?
What are some of the languages or libraries that you have looked at for inspiration in your design and philosophy around this development pattern?
For someone who is building a project on top of POP what does their workflow look like and what are some of the up-front design considerations they should be thinking of?
How do you define and validate the contract exposed by or expected from a plugin subsystem?
One of the interesting capabilities that you highlight in the documentation is the concept of merging applications. What are your thoughts on the challenges that an engineer might face when merging library or microservice applications built with POP into a single deployable artifact?
What would be involved in going the other direction to split a single application into independently runnable microservices?
When extracting common functionality from a group of existing applications, what are the relative merits of creating a plugin sybsystem vs writing a library?
How does the system design of a POP application impact the available range of communication patterns for software and the teams building it?
What are some antipatterns that you anticipate for teams building their projects on top of POP?
In the documentation you mention that POP is just an example implementation of the broader pattern and that you hope to see other languages and developer communities adopt it. What are some of the barriers to adoption that you foresee?
What are some of the limitations of POP or cases where you would recommend against following this paradigm?
What are some of the most interesting, innovative, or unexpected ways that you have seen POP used?
What have been some of the most interesting, unexpected, or challenging aspects of building POP?
What do you have planned for the future of the POP library, or any applications where you plan to employ this pattern?
Keep In Touch
thatch45 on GitHub
@thatch45 on Twitter
Picks
Tobias
The Man In The High Castle TV series
Thomas
Jack Ryan TV Series
Closing Announcements
Thank you for listening! Don’t forget to check out our other show, the Data Engineering Podcast for the latest on modern data management.
Visit the site to subscribe to the show, sign up for the mailing list, and read the show notes.
If you’ve learned something or tried out a project from the show then tell us about it! Email [email protected]) with your story.
To help other people find the show please leave a review on iTunes and tell your friends and co-workers
Join the community in the new Zulip chat workspace at pythonpodcast.com/chat
Links
Episode 1
POP
SaltStack
Ruby
Microservices
Linus Torvalds
SaltConf
SaltStack Thorium
Salt Beacons
Salt Reactors
Salt Grains
Idem
AsyncIO
Nim
OCaml
Julia
LLVM
Object Oriented Programming
Go Language
Rust
RBAC == Role Based Access Control
The Mythical Man Month
Linux Kernel
Heist
Umbra
Flow Programming
Magic The Gathering
The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA
1 hr 3 min
November 26, 2019 Faster And Safer Software Development With Feature Flags
Any software project that is worked on or used by multiple people will inevitably reach a point where certain capabilities need to be turned on or off. In this episode Pete Hodgson shares his experience and insight into when, how, and why to use feature flags in your projects as a way to enable that practice. In addition to the simple on and off controls for certain logic paths, feature toggles also allow for more advanced patterns such as canary releases and A/B testing. This episode has something useful for anyone who works on software in any language.
1 hr 2 min