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#238 Collaborative data science with Gigantum
Collaborative data science has a few challenges. First of all, those who you are collaborating with might not be savvy enough in the computer science techniques (for example, git and source control or docker and Linux). Second, seeing the work and changes others have made is a challenge too.
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We all love the Python language. But it's the 200,000+ packages that actually make Python incredibly useful and productive. But installing these libraries and sometimes even Python itself can vary across platforms. In particular, Windows has had a hard time.
We've come to the end of 2019. Python 2 has just a handful of days before it goes unsupported. And I've met up with Dan Bader from RealPython.com to look back at the year of Python articles on his website. We dive into the details behind 10 of his most important articles from the past year.
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Seriously great!I really like this podcast. Great host, interesting guests and topics, and high quality work.
Michael Kennedy has a fantastic personality for tech podcasts, I have always found his explanations light-hearted enough to be entertaining, but with enough detail that it's interesting and worth listening to in order to learn. In my experience, that's a rare combination in tech podcasts.
Best Python podcast!Thank you Michael - listen to each show - your professional editing and style is something a lot of podcasts should emulate.
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More about Talk Python to Me
Talk Python to Me is a weekly podcast hosted by
Michael Kennedy.
The show covers a wide array of Python topics as well as
many related topics (e.g. MongoDB, AngularJS, DevOps).
The format is a casual 45 minute conversation with industry
experts.
Have feedback for the show? Send it to
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