Talk Python To Me - Python Conversations For Passionate Developers

2020 will be one for the history books, won't it? I've put together a great group to look back on 2020 - from the Python perspective. Join me along with Cecil Phillip, Ines Montani, Jay Miller, Paul Everitt, Reuven Lerner, Matt Harrison, and Brian Okken for a light-hearted and fun look back on the major Python events of 2020. Links from the show Video version of this episode: youtube.com Guests Cecil Phillip: @cecilphillip Ines Montani: @_inesmontani Jay Miller: @kjaymiller Paul Everitt: @paulweveritt Reuven Lerner: @reuvenmlerner Matt Harrison: @__mharrison__ Brian Okken: @brianokken Sponsors Talk Python Training

Quick: Name the 3 most advanced engineering organizations you can think of? Maybe an aerospace company such as SpaceX or Boeing come to mind. Maybe you thought of CERN and the LHC. But in terms of bespoke engineering capabilities, you should certainly put the F1 racing teams on your list. These organizations appear as 20-30 people on a race day shown on TV. But in fact, the number of people back at the home base doing the engineering work can be over 500 employees. Almost every tiny part you see on these cars as well as the tools to maintain them are custom-built. The engineering problems solved are immense. Would it surprise you to know that Python is playing a major role here? On this episode, you'll meet Joe Borg who help pioneer Python's adoption at several F1 teams. Links from the show Joe's website: josephb.org Joe on Twitter: @joedborg Racing Point F1 team: racingpointf1.com Scuderia Alpha Tauri F1 team: scuderiaalphatauri.com MicroK8s: microk8s.io Charmed Kubernetes: ubuntu.com/kubernetes S

Geography is the study of places and the relationships between people and their environments. Often we think of maps, but maps are static. GIS gets interesting when you realize that we're studying and visualizing data flowing through these locations and communities. In this episode, you'll meet Silas Toms. He's an author of several Python GIS books and the host of The Mappist Hour podcast. Are you ready to dive into GIS with Python? Links from the show Silas on twitter Twitter: @loki_president Silas' Books: Mastering Geospatial Analysis with Python: Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter: amazon.com ArcPy and ArcGIS – Geospatial Analysis with Python: amazon.com ArcPy and ArcGIS - Second Edition: Automating ArcGIS for Desktop and ArcGIS Online with Python: amazon.com The Mappyist Hour podcast: themappyisthour.com Packages GeoAlchemy ORM: geoalchemy-2.readthedocs.io Leaflet.js: leafletjs.com Mapbox GL: mapbox.com Deck GL: deck.gl Sponsors Talk Python

When we think about accounts and security, we often think about identity (logging in and proving who you are). But for many applications, especially internal apps at large organizations, that's just step one. The next step is what can you do and what can you not do. In this episode, you'll learn about a new library called oso. It's a declarative way to create policy code that maps to your mental model for who is allowed to do what in your system. We have two guests, Graham Neray and Sam Scott from the oso project to tell us all about it. Links from the show Oso on twitter: @osoHQ Graham on twitter: @grahamneray Sam on twitter: @samososos Oso: osohq.com Django docs: docs.osohq.com Flask docs: docs.osohq.com Python library docs: docs.osohq.com Source code: github.com/osohq Debugger docs: docs.osohq.com Polar Adventure: A text-based adventure game written in Polar: osohq.com Adding authorization to your Flask app with oso: osohq.com Building a Django app with data access controls: osohq.com Django Quer

As software developers, we live in a world of uncertainty and flux. Do you need to build a new web app? Well maybe using Django makes the most sense if you've been doing it for a long time. There is Flask, but it's more mix and match being a microframework. But you've also heard that async and await are game changers and FastAPI might be the right choice. Whatever it is you're building, there is constant pressure to stay on top of a moving target. Learning is not something you do in school then get a job as a developer. No, it a constant and critical part of your career. That's why we all need to be good, very good, at it. Matt Harrison is back on Talk Python to talk to us about some tips, tricks, and even science about learning as software developers. Links from the show Matt on Twitter: @__mharrison__ Matt's Learning Course (use code TALKPYTHON20 for 20% off): mattharrison.podia.com Friends of the show: talkpython.fm/friends-of-the-show Streamlit: streamlit.io Jupyter LSP: github.com/krassowski/ju

So you're excited about that next app you're about to build. You can visualize the APIs with the smooth scalability taking to the mobile apps. You can see how, finally, this time, you'll get deployment right and it'll be pure continuous delivery out of GitHub with zero downtime. What you're probably not dreaming about is writing yet another password reset form and integrating mail capabilities just for this purpose. Or how you'll securely store user accounts the right way this time. Don't worry, we got you covered. Our guests, Christos Matskas and John Patrick Dandison are here to cover a bunch of different libraries and techniques we can use for adding identity to our Python applications. Links from the show Christos on Twitter: @christosmatskas John Patrick Dandison on Twitter: @azureandchill shhgit live: shhgit.com Twitch channel for Christos and JP: twitch.tv/425show Passlib & Folding: passlib.readthedocs.io Microsoft Authentication Library: github.com/AzureAD authlib - JavaScript Object Signin

See the full show notes for this episode on the website at talkpython.fm/291.

See the full show notes for this episode on the website at talkpython.fm/290.

See the full show notes for this episode on the website at talkpython.fm/289.

See the full show notes for this episode on the website at talkpython.fm/288.

See the full show notes for this episode on the website at talkpython.fm/287.

See the full show notes for this episode on the website at talkpython.fm/286.

See the full show notes for this episode on the website at talkpython.fm/285.

See the full show notes for this episode on the website at talkpython.fm/284.

See the full show notes for this episode on the website at talkpython.fm/283.

See the full show notes for this episode on the website at talkpython.fm/282.

See the full show notes for this episode on the website at talkpython.fm/281.

See the full show notes for this episode on the website at talkpython.fm/280.

See the full show notes for this episode on the website at talkpython.fm/279.

See the full show notes for this episode on the website at talkpython.fm/278.