Alternatives and similar repositories for Dask_PyData_NYC:

Users that are interested in Dask_PyData_NYC are comparing it to the libraries listed below

• amueller / pydata-amsterdam-2016
  Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)
  ☆30Updated 9 years ago
• jseabold / csc432-notebooks
  These are the IPython notebook files for the CSC 432 Spring '13 course.
  ☆23Updated 9 years ago
• gkamradt / ryd.io
  ☆34Updated 8 years ago
• ellisonbg / talk-2014-strata-sc
  My talk at Strata 2014 in Santa Clara, CA
  ☆73Updated 11 years ago
• brakmic / Data-Science-for-Losers
  Articles on Data Science, Jupyter, and Pandas
  ☆18Updated 9 years ago
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 8 years ago
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 8 years ago
• bugra / pydata-seattle-2015
  Pydata Seattle 2015 Trend Estimation in Time Series Signals Deck + Notebooks
  ☆21Updated 9 years ago
• joshloyal / pydata-amazon-products
  Code for PyData Talk on "Classifying Products Based on Images and Text using Keras"
  ☆30Updated 7 years ago
• szilard / datascience-latency
  Latency numbers every data scientist should know (aka the pyramid of analytical tasks) - the order of magnitude of computational time for…
  ☆20Updated 7 years ago
• jbwhit / data-science-teams
  Miscellaneous Jupyter Notebooks for my course.
  ☆24Updated 8 years ago
• erikson84 / BayesDataAnalysisWithPyMC
  Python (PyMC) adaptation of the R code from "Doing Bayesian Data Analysis"
  ☆64Updated 7 years ago
• asimjalis / apache-toree-quickstart
  Apache Toree quickstart tutorial
  ☆29Updated 8 years ago
• gjreda / cy-young-NL-2015
  Using data to dig into the 2015 NL Cy Young race
  ☆10Updated 9 years ago
• szilard / xgboost-adv-workshop-LA
  Advanced workshop on XGBoost with Tianqi Chen in Santa Monica, June 2, 2016
  ☆26Updated 8 years ago
• gjreda / pydata2015sea
  Materials for my PyData Seattle talk
  ☆21Updated 9 years ago
• jakevdp / ProntoData
  Scripts to Analyze Pronto's Data Release
  ☆24Updated 9 years ago
• fonnesbeck / pytenn2014_tutorial
  PyTennessee 2014: Statistical Data Analysis in Python
  ☆85Updated 10 years ago
• mrocklin / blaze-tutorial
  ☆12Updated 10 years ago
• GaelVaroquaux / sklearn_europython_2014
  Scikit-learn Tutorial at EuroPython 2014
  ☆43Updated 6 years ago
• amueller / strata_singapore_2015
  Materials for Strata Singapore "Machine learning In Python with scikit-learn" tutorial.
  ☆9Updated 9 years ago
• mdbecker / pydata_2013
  PyData Boston 2013 talks: "Intro to scikit-learn" & "Realtime Predictive Analytics: Using scikit-learn and RabbitMQ"
  ☆11Updated 11 years ago
• zygmuntz / kaggle-rossmann
  Predicting sales with Pandas
  ☆15Updated 9 years ago
• sjwhitmore / pycon-kaggle-tutorial-2015
  My 2nd place submission (working with Kevin Goetsch) out of 28 teams at the Kaggle competition at PyCon2015.
  ☆23Updated 9 years ago
• crawles / text-analytics-service-example
  Deploy sentiment analysis using Flask
  ☆17Updated 5 years ago
• tfolkman / learningwithdata
  Code for Learning with Data Blog
  ☆64Updated 8 years ago
• yhat / yhat-client
  Python client for ScienceOps
  ☆29Updated 5 years ago
• amueller / pydata-nyc-advanced-sklearn
  Notebooks (and slides) for my PyData NYC 2014 tutorial on the more advanced features of scikit-learn.
  ☆69Updated 10 years ago
• danielfrg / copper
  Fast, easy and intuitive machine learning prototyping.
  ☆124Updated 10 years ago
• gapatino / Making-Your-Code-Faster-Cython-and-parallel-processing-in-the-Jupyter-Notebook
  Jupyter Notebook for PyData DC 2016 on "Making Your Code Faster: Cython and parallel processing in the Jupyter Notebook"
  ☆12Updated 8 years ago