#20: Interactive Python and Teaching Python: Beyond Text Books

#20: Interactive Python and Teaching Python: Beyond Text Books

What if your computer science textbooks could run their python code samples and that code ran directly in your browser, kinda like JavaScript but better, because: Python. It is possible and Brad Miller is making it happen!

Avsnitt(517)

#294: oso authorizes Python

#294: oso authorizes 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.

7 Dec 202051min

#293: Learning how to learn as a developer

#293: Learning how to learn as a developer

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.

1 Dec 20201h

#292: Pythonic identity (auth in Python ecosystem)

#292: Pythonic identity (auth in Python ecosystem)

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.

26 Nov 20201h 5min

#291: Operational Resilience with Pyomo

#291: Operational Resilience with Pyomo

Do you have a scientific system that needs optimization or solving? Our guest, on this episode, Clark Petri is here to tell us all about pyomo. This is a library that can solve all sorts of cool problems, linear programming, nonlinear equations, and many other things you can throw at it.

22 Nov 202059min

#290: Side Hustles for Data Scientists

#290: Side Hustles for Data Scientists

Are you a data scientist looking to branch out on your own and start something new? Maybe you're just looking for a way to work with those exciting libraries that aren't yet in play at the day job. Rather than putting everything on the line, quitting your job, and hoping things work out, maybe you should start with a side-hustle.

13 Nov 20201h 8min

#289: Discovering exoplanets with Python

#289: Discovering exoplanets with Python

When I saw the headline "Machine learning algorithm confirms 50 new exoplanets in historic first" I knew the Python angle of this story had to be told! And that's how this episode was born. Join David Armstrong and Jev Gamper as they tell us how they use Python and machine learning to discover not 1, but 50 new exoplanets in pre-existing Keplar satellite data.

9 Nov 202047min

#288: 10 tips to move from Excel to Python

#288: 10 tips to move from Excel to Python

Excel is one of the most used and most empowering piece of software out there. But that doesn't make it a good fit for every data processing need. And when you outgrow Excel, a really good option for a next step is Python and the data science tech stack: Pandas, Jupyter, and friends.

31 Okt 20201h 3min

#287: Testing without dependencies, mocking in Python

#287: Testing without dependencies, mocking in Python

We know our unit tests should be relatively independent from other parts of the system. For example, running a test shouldn't generally call a credit card possessing API and talk to a database when your goal is just to test the argument validation.

21 Okt 20201h 3min

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