#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 deploymen...
26 Nov 20201h 5min
#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 probl...
22 Nov 202059min
#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. Ra...
13 Nov 20201h 8min
#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...
9 Nov 202047min
#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 ...
31 Okt 20201h 3min
#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 yo...
21 Okt 20201h 3min
#286: Python and ML at NASA Jet Propulsion Laboratory (JPL)
NASA's Jet Propulsion Laboratory (JPL)'s primary function is the construction and operation of planetary robotic spacecraft, though it also conducts Earth- orbit and astronomy missions. It is also res...
16 Okt 20201h 7min
#285: Dask as a Platform Service with Coiled
If you're into data science, you've probably heard about Dask. It's a package that feels like familiar APIs such as Numpy, Pandas, and Scikit-Learn. Yet it can scale that computation across CPU cores ...
9 Okt 20201h 11min
