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Python for Data Science

Looking at more resources online for Python for Data Science. There are many good resources available. Of course the main tools are:  Numpy ,  Pandas ,  MathPlotLib ,  SkiKit-Learn  has some amazing tools. Kaggle  for instance has Data Science contents, but good to install a local system like the  Jupyter Notebook  to speed things up as the Kaggle editor can lag and take some time to run on small data-sets. The newer  DataCamp  has some neat tutorials on it and simple App to do daily exercises on your mobile device. Here is the  Python DataScience Handbook . Really useful. A short tutorial:  Learn Python for Data Science , a fun read. A list of cool  DataSci tutorials is here , and another how to get started with  Python for DS . Will add more later.

ORCId for Research Publications

ORCid.org is an interesting researcher, research publication database (here for me, Darrell Ulm)  I've recently become aware of ORCID.org, which serves as an interesting database for researchers and their research publications. This tool seems to possess considerable potential, particularly in its ability to provide fine-grained control over how research outputs and other pertinent details are entered and managed. As a comprehensive research listing platform with numerous beneficial features, I find it surprising that I only encountered it recently..