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libraries.io Darrell Ulm Profile

The Libraries.io page shows several of the open source contributions I’ve made over the years, reflecting my ongoing work in computer science and software development. Some of the links have changed recently and now require authentication, but the page still gives a good overview of the projects I’ve supported and the areas of technology I’ve focused on throughout my career.  https://libraries.io/github/drulm .

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Paper by Darrell Ulm: Virtual Parallelism by Self Simulation of the Multiple Instruction Stream Associative Model

The CiteSeer entry: "Virtual Parallelism by Self Simulation of the Multiple Instruction Stream Associative Model" (1995), Darrell Ulm. Research paper deals with relative power of the MASC model when simulating itself, and the algorithmic overhead to simulate. Virtual Parallelism by Self Simulation of the Multiple Instruction Stream Associative Model, Darrell Ulm Tumblr , Wordpress
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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.
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