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TARSAM2009's Projects

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Copies of notebooks used in the practical sessions for Algorithms for DNA Sequencing

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Slides for Algorithms for DNA Sequencing Coursera class

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries and software

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This workshop was given as an introduction to using python for scientific and other data intensive purposes. The examples are related to bench top laboratory data analysis. The speaker is Shane Neeley, a bioengineering masters student at Rice University and it was hosted by Brightwork CoResearch, an independent research and entrepreneurship facility in Houston, Texas.

check_pycurl icon check_pycurl

nagios plugin to check webpages, built with python and pycurl

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The Coursera course Coding the Matrix: Linear Algebra through Computer Science Applications by Philip Klein

compute-hadoop-java-python icon compute-hadoop-java-python

This software demonstrates one way to create and manage a cluster of Hadoop nodes running on Google Compute Engine.

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Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

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Data for the HarvardX courses: PH525x

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Implementations of some data mining algorithms for class

data-science-ipython-notebooks icon data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes

data.table icon data.table

R's data.table package extends data.frame. More info:

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