DavidWright123's Stars
Vanclief/twitter-sentiment-analysis
Applying twitter sentiment analysis to crypto trading
jglovier/microframe
:microscope: :triangular_ruler: :pencil2: Microframe is a micro (<200px wide), grid based wireframe PSD template for UI and UX designers mocking up website and app layouts.
jglovier/gifs
:joy: :camera: :sparkler: Storage place for all mah gifs.
tonsky/FiraCode
Free monospaced font with programming ligatures
brandon-rhodes/fopnp
Foundations of Python Network Programming (Apress) — scripts and examples
h5bp/html5-boilerplate
A professional front-end template for building fast, robust, and adaptable web apps or sites.
DavidWright123/cheatsheets
scrapy/scrapy
Scrapy, a fast high-level web crawling & scraping framework for Python.
jakevdp/WhirlwindTourOfPython
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
treehouse/cheatsheets
jdwittenauer/ipython-notebooks
A collection of IPython notebooks covering various topics.
rasbt/pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
ipython-books/cookbook-code
[DEPRECATED] See the new edition:
cs109/2015
Public material for CS109
datadave/data-science-course
Data Science Course Materials - Fall 2014
jmportilla/Python-for-Algorithms--Data-Structures--and-Interviews
Files for Udemy Course on Algorithms and Data Structures
pandas-dev/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
mwaskom/seaborn
Statistical data visualization in Python
justmarkham/dplyr-tutorial
Tutorials for the dplyr package in R
goodfeli/ccw_tutorial_theano
Common Code Workflow tutorial on Theano
goodfeli/dlbook_exercises
Exercises for the Deep Learning textbook at www.deeplearningbook.org
wesm/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
rushter/data-science-blogs
A curated list of data science blogs
dive-into-machine-learning/dive-into-machine-learning
Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)
justmarkham/DAT8
General Assembly's 2015 Data Science course in Washington, DC
justmarkham/DAT4
General Assembly's Data Science course in Washington, DC
gumption/Python_for_Data_Science
A rapid on-ramp primer for programmers who want to learn Python for doing data science research and development.
ChristosChristofidis/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
katychuang/getting-started-with-haskell
notes on where to find Haskell tutorials and tips to complete them
pydata/patsy
Describing statistical models in Python using symbolic formulas