After I had access to my Ubuntu Server through SSH, the next logical step (at least for me) was to enable Jupyter Notebooks running inside TORUS (Docker) to be reachable from a remote browser. That way I’m able to run python code on the server while using my browser as if it was locally installed.
More than 10 years ago I switched to a Mac and never looked back (I still use Debian and/or Ubuntu for servers though, _apt_ is the best!)… until now.
For several reasons I’ve been dealing with windows for the last month on a daily basis and I’ve to say I miss the terminal so much!
I installed everything on my Mac, and doing it all over again made no sense. I also tried Anaconda (also a great tool to start but you still have to install several packages on every new install). Then I found Torus: A Toolkit For Docker-First Data Science.
In their words: Using the project cookiecutter and Docker image together you can go from cold-steel to a new project working in a Jupyter notebook with all of the common libraries available to you in less than five minutes (and you didn’t have to pip install anything)
The final result of the analysis is an interactive map with the cities from both countries plotted in the color of each cluster. You can zoom in and out and click the point to check the cluster and name of each city.
Notes from IBM Data Science Professional Certificate course by IBM on Coursera__Notes by Diego Carrasco G. I’m starting a small series of articles regarding Data Science, what enticed me, why I started, where to start and so on. I’m as of now by no way an expert but an enthusiastic […]
I needed to get the venues around a coordinate for a project, but wanted to get them on a dataframe to play with the data using pandas.
I found [https://pypi.python.org/pypi/foursquare/]() which works really good, but still had to clean the result, thus this.