#227: Maintainable data science: Tips for non-developers
Did you come to software development outside of traditional computer science? This is common, and even how I got into programming myself. I think it's especially true for data science and scientific c...
28 Elo 20191h 10min
#226: Building Flask APIs for data scientists
If you're a data scientist, how do you deliver your analysis and your models to the people who need them? A really good option is to serve them over Flask as an API. But there are some special conside...
23 Elo 20191h 9min
#225: Can subinterpreters free us from Python's GIL?
Have you heard that Python is not good for writing concurrent asynchronous code? This is generally a misconception. But there is one class of parallel computing that Python is not good at: CPU bound w...
12 Elo 20191h 10min
#224: 12 lessons from 100 days of web
Back in May of 2018, Bob Belderbos, Julian Sequeira, and I started on what would be a 9-month project. We wanted to create a dedicated, 100 days of code course specifically for Python web developers. ...
5 Elo 20191h 8min
#223: Fun and Easy 2D Games with Python
Have you tried to teach programming to beginners? Python is becoming a top choice for the language, but you still have to have them work with the language and understand core concepts like loops, vari...
30 Heinä 20191h 3min
#222: Interactive graphs with Bokeh and Python
Do you have data you want to visualize and share? It's easy enough to make a static graph of it. But what if you want to zoom in and highlight different sections? What if you need to rerun your ML mod...
26 Heinä 201959min
#221: Empowering developers by embedding Python
How do we get kids excited about programming? Make programming tangible with embedded devices. Did you know that after kids learned to code with the BBC micro:bit, 90% of kids "thought coding was for ...
18 Heinä 20191h 7min
#220: Machine Learning in the cloud with Azure ML
On this episode, you'll meet Francesca Lazzeri and hear story how she went from Research Fellow in Economics at Harvard Business School to working on the AI and data science stack on the Azure team.
12 Heinä 201954min
