#132: Contributing to open source

#132: Contributing to open source

Are you new to open source? Maybe been using it for a long time and never got around to contributing to it? Wondering how to get started?

Episoder(543)

#207: Parallelizing computation with Dask

#207: Parallelizing computation with Dask

What if you could write standard numpy and pandas code but have it run on a distributed computing grid for incredible parallel processing right from Python? How about just splitting it across multipro...

14 Apr 201957min

#206: Running Django in Production

#206: Running Django in Production

Let's talk about running Django in production. On this episode, you'll meet Michael Herman who used to work on realpython.com and today is running testdriven.io. We also cover some of the tradeoffs of...

6 Apr 201951min

#205: Beginners and Experts Panel

#205: Beginners and Experts Panel

Welcome to part 2 of our beginners and experts series. This one is a panel format with 7 different guests. Each of them a beginner in their own way. We dig deeper into some follow up conversations for...

2 Apr 201957min

#204: StaticFrame, like Pandas but safer

#204: StaticFrame, like Pandas but safer

Remember back in math class when you would take a test? It wasn't enough to just write down the answer. What's the limit of this infinite summation? pi/2 Yes, but how did you get that number.

21 Mar 20191h 1min

#203: Beginners and Experts in Software Development

#203: Beginners and Experts in Software Development

What's it like to be a beginner in software development? How about learning Python for the first time? This episode is a special panel episode and is the first of a two-part series we are doing on the...

13 Mar 201957min

#202: Building a software business

#202: Building a software business

One core question around open source is how do you fund it? Well, there is always that PayPal donate button. But that's been a tremendous failure for many projects. Often the go-to answer is consultin...

9 Mar 201959min

#201: Choosing JupyterHub and Python over MATLAB

#201: Choosing JupyterHub and Python over MATLAB

The Nobel prize in economics recently went to Paul Romer, a convert from proprietary software like Matlab over to Python and the SciPy stack. Paul said, “The more I learn about proprietary software, t...

27 Feb 20191h 3min

#200: Escaping Excel Hell with Python and Pandas

#200: Escaping Excel Hell with Python and Pandas

Do you know or maybe work with people who abuse Excel? Is it their hammer to pound all the computational problems that get in their way? Well, join me to chat about this opportunity to bring Python de...

21 Feb 20191h 6min

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