mepa Goto Github PK

aws-instructions-for-assignment4

Updated Instructions: Setting Up Your AWS Account. See original instructions for Bill Howe's MOOC "Communicating Data Science Results" offered on Coursera through the University of Washington: https://github.com/uwescience/datasci_course_materials/blob/master/assignment4/awsinstructions.md

crime-analytics

Crime prediction by city

datasci-from-scratch-notes

Notes on "Data Science from Scratch" by Joel Grus

datasci_course_materials

Public repository for course materials for the Data Science at Scale Specialization at Coursera

daysofcode-python

10 Days of Code - Intro to Python - February 10, 2018

gitworkshop

Demo repo for PyLadiesATX Git + GitHub workshop

mepa.github.io

My blog

mepa.github.io-source

My blog - source code

p1a-starburst

p1b-torque

p2-migration

p3-radiation

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

pelican-plugins

Collection of plugins for the Pelican static site generator

pelican-themes

Themes for pelican

pydata-book

Materials and IPython notebooks (plus my notes in branch "mepa") for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pyladies-pyspark

PyLadies ATX presentation on Spark/PySpark - Jun 20, 2016

python-games

Raspbian Python games

resources

Resources that I like or want to check out

robot

Object-avoiding Robot

sads-pyspark

San Antonio Data Science Meetup - PySpark Workshop - September 14, 2017

scikit-build

Improved build system generator for CPython C, C++, Cython and Fortran extensions

scikit-learn

scikit-learn: machine learning in Python

scipy_proceedings

Tools used to generate the SciPy conference proceedings

scipy_proceedings_test

Testing repo for planned changes to scipy_proceedings

skillclusters

This application parses software developer job ads and determines, for each technical skill keyword (e.g. Python, Java, C#, Javascript, etc) what other skills are most likely to go with it (e.g. for Python it would be Django, Flask, etc.) So when one is preparing for a software development interview, one could know what other areas they need to study to answer the most likely interview questions.

sprint_tutorial

Tutorial and mock repository to teach people to contribute to open source

sql-practice

staged-recipes

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

symptom-tracker

Austin Ladies Hack! 2014 project