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probability-monad

probability_cheatsheet

A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

pycps

Download CPS files

pydata2014-mta

Sample data and IPython notebooks for the PyData2014 Time Series Analysis Tutorial

python-client-api

Clusterpoint Python Client API for Clusterpoint v3.* database.

python-resources

Resources for Learning Python

python_for_data_science

A rapid on-ramp primer for programmers who want to learn Python for doing data science research and development.

python_for_prob_stats_ml

Jupyter/IPython Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"

resources-1

Resources for job hunting, internships, local recruiters, who to contact

rhino-pythonscript-tutorials

PythonScript tutorials for Rhino. For those eager to create some computational geometry. And learn Python. And learn programming.

scientific-python-lectures

Lectures on scientific computing with python, as IPython notebooks.

seaborn

Statistical data visualization using matplotlib

smartthingspublic

SmartThings open-source DeviceTypeHandlers and SmartApps code

stat-cookbook

:orange_book: The probability and statistics cookbook

statistical-analysis-python-tutorial

Statistical Data Analysis in Python

statlearning

statsintro_python

Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"

supplemental-javascript

Still struggling with Javascript? This self-paced curriculum is for you.

swirl

:cyclone: Learn R, in R.

sympy

A computer algebra system written in pure Python

sympy_tutorial

A tutorial that shows the powerful capabilities of the computer algebra system SymPy for solving problems of high school math, calculus, mechanics, vectors, and linear algebra problems.

temptry2

temptry4org

trigonometry-programlets

Several programlets (mini programs) made in Python for college Trigonometry

try-git

for git learning

try_git_again

man this is annoying

tutorial_ml_gkbionics

A Tutorial on Simple Machine Learning Methods Held for the Graduate School on Bionics, 2012