#40: Top 10 Data Science Stories from 2015

#40: Top 10 Data Science Stories from 2015

It's the end of the year and many of you are probably kicking and taking it easy without a TPS report to be seen. So we'll keep this fun and lighthearted this week. We've teamed up with the Partially Derivative podcast and we're running down the top 10 data science stories of 2015 in this joint episode.

Episoder(544)

#63: Validating Python tests with mutation testing

#63: Validating Python tests with mutation testing

Do you think it's a good idea to test your software? Do you write unit tests or other automated verification for code? I think most of us do these days. A key question is how do you know whether your ...

16 Jun 201659min

#62: San Diego Technology Immersion Group Learns Python

#62: San Diego Technology Immersion Group Learns Python

What's it like to learn Python? Yes, some of you may have just picked up the language while others have lived and breathed it for years. Either way, you may have some hindsight bias towards the experi...

7 Jun 20161h 9min

#61: Free software, free people

#61: Free software, free people

How often do you read some news headline about free speech denied and human rights being suppressed and think that sucks but there is nothing I can do about it from my distant perspective. I guess you...

30 Mai 201654min

#60: Scaling Python to 1000's of cores with Ufora

#60: Scaling Python to 1000's of cores with Ufora

You've heard me talk previously about scaling Python and Python performance on this show. But on this episode I'm bringing you a very interesting project pushing the upper bound of Python performance ...

24 Mai 20161h 7min

#59: SageMath - Open source is ready to compete in the classroom

#59: SageMath - Open source is ready to compete in the classroom

What do you do when you are a high caliber mathematician or scientist and you want share your algorithms and code? This sounds like a job for github, but the problem is often this work is done on prop...

18 Mai 201659min

#58: Create better Python programs with concurrency, libraries, and patterns

#58: Create better Python programs with concurrency, libraries, and patterns

What do you focus on once you've learned the core concepts of the Python programming language and ecosystem?

10 Mai 201654min

#57: Python performance from the inside-out at Intel

#57: Python performance from the inside-out at Intel

When you think about the performance of your software, there is nothing more low level and fundamental than how your code executes on the CPU itself. Many of us study and try to understand how to maxi...

5 Mai 201656min

#56: Data Science from Scratch

#56: Data Science from Scratch

You likely know that Python is one of the fastest growing languages for data science. This is a discipline that combines the scientific inquiry of hypotheses and tests, the mathematical intuition of p...

27 Apr 201651min

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