Jupyter Notebook
See the following -
$6M for UC Berkeley and Cal Poly to Expand and Enhance Open-Source Software for Scientific Computing and Data Science
Three foundations pledged $6M over the next three years to Project Jupyter, an open-source software project that supports scientific computing and data science across a wide range of programming languages via a large, public, open and inclusive community. Fernando Perez of University of California, Berkeley and Lawrence Berkeley National Laboratory and Brian Granger of California Polytechnic University, San Luis Obispo will lead the project at their institutions. Perez and Granger’s efforts with Project Jupyter are the result of their work developing IPython, a popular user interface for interactive computing across multiple programming languages.
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9 Resources for Data Science Projects
Data science, machine learning, artificial intelligence, and deep neural nets are all hot topics these days (and key terms that might help this post with some SEO, unless the AI sees through my attempts). Below I've shared several of the resources I use regularly while working on data science projects over the last few years. I don't read many books, so that I've shared even one is evidence of how important it is. There are enough resources here to get even the most novice engineer started on a path towards data science mastery in this new age where data science skills will be needed at every level. There is a tool for performing the work, a class taught by a renowned Stanford professor, websites with tutorials to give you real-life experience, and a site dedicated to making the latest research available to all for free so you can learn more if you want.
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