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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Online education has certainly gone mainstream. Developers and companies have finally gotten comfortable taking online courses. Sometimes these are recorded, self-paced courses like we have at Talk Python Training. Other times, they are more like live events in webcast format.
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.
Required listeningVery substantive, polished podcast. Michael is the ideal interviewer: deeply knowledgeable and prepared, but knows how to get out of the way and let his guests dominate the conversation. Absolutely required listening for all Pythoneers IMO.
AmazingI have learned so much because of this podcast!
Awesome Python GoodnessThis is the podcast that got me into listening to nearly only technical ones. All the episodes are fun and informative, and I can't recommend it enough for every Pythonista (and others).
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