We’ve highlighted Jupyter notebooks as a technology definitely worth examining if you have even modest data science needs. This review of the various cloud options lowers the barriers to entry for folks who don’t want to get it set up locally just to try them out. They are free, so now you have an excuse to take a look.
We’ve been using Jupyter notebooks for a few years now and think they are amazingly useful for so many use cases. They make perfoming data exploration easier, with the ability to embed assets, such as graphs, directly into the document alongside the code (in any of several supported languages). We highly recommend trying them out on one of the many free services out there.
For those interested in Data Science, and how to use Python, Pandas, Numpy, etc. in pursuit of said interest, this site provides Jupyter notebooks with an interactive playground for learning. If you haven’t worked with Jupyter notebooks, this is a great place to start.
When performing data analytics, it is important to have great tools. That doesn’t necessarily mean shelling out big bucks, as a lot of top-tier tools are freely available. This blog post over at BrainStation hits on a number of our favorites.
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