TomAugspurger / pydata-nyc-ph2t

Related projects ⓘ

Alternatives and complementary repositories for pydata-nyc-ph2t

• jakevdp / JupyterWorkflow
  Reproducible Data Analysis Workflow in Jupyter
  ☆117Updated 6 years ago
• TomAugspurger / pydata-chi-h2t
  Materials for the pandas tutorial at PyData Chicago 2016
  ☆55Updated 4 years ago
• tdhopper / pythonplot.com
  📈 Interactive comparison of Python plotting libraries for exploratory data analysis. Examples of using Pandas plotting, plotnine, Seabor…
  ☆107Updated 3 years ago
• fonnesbeck / scipy2015_tutorial
  Computational Statistics II Tutorial at SciPy 2015
  ☆48Updated 9 years ago
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆66Updated 6 years ago
• jcbozonier / PyData2015
  ☆41Updated 9 years ago
• ioam / scipy-2017-holoviews-tutorial
  Material for 'Interactive Data Visualization with HoloViews & Bokeh' SciPy tutorial
  ☆48Updated 2 years ago
• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 7 years ago
• TomAugspurger / PyDataSeattle
  For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8
  ☆115Updated 3 years ago
• jreback / PyDataNYC2015
  PyData NYC 2015 conference
  ☆94Updated 9 years ago
• jakevdp / altair-examples
  Some examples of Altair plots
  ☆92Updated 5 years ago
• croach / statistics-for-hackers
  A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.
  ☆76Updated 6 years ago
• TomAugspurger / pandas-head-to-tail
  ☆87Updated 6 years ago
• atavory / ibex
  Pandas Adapters For Scikit-Learn
  ☆53Updated 6 years ago
• SethHWeidman / ODSC_Neural_Nets_11-04-17
  Talk "Deep Learning From Scratch Using Python" delivered at ODSC West on November 4, 2017
  ☆32Updated 6 years ago
• stitchfix / diamond
  Python solver for mixed-effects models
  ☆98Updated 6 years ago
• GaelVaroquaux / stats_in_python_tutorial
  Material for the statistics in Python tutorial
  ☆42Updated 9 years ago
• csaid / polished_notebooks
  Jupyter notebook presentations with optional code visibility and no ugly elements
  ☆67Updated 7 years ago
• mrocklin / pydata-nyc-2018-tutorial
  ☆37Updated 6 years ago
• RJT1990 / PyData2016-SanFrancisco
  A Tour of Time Series Analysis
  ☆23Updated 8 years ago
• matthewbrems / jupytercon-missing-data-2018
  JupyterCon Missing Data Talk 2018
  ☆23Updated 6 years ago
• ioam / jupytercon2017-holoviews-tutorial
  HoloViews+Bokeh tutorial for JupyterCon 2017
  ☆51Updated last year
• amueller / patsylearn
  Patsy Adaptors for Scikit-learn
  ☆48Updated 5 years ago
• thedataincubator / practical-ml
  ☆24Updated 6 years ago
• hgrif / example-project
  Example Python DS project
  ☆71Updated 6 years ago
• ResidentMario / boston-airbnb-geo
  A Deep Dive into Geospatial Analysis in Python (Tutorial)
  ☆55Updated 8 years ago
• stevesimmons / PyDataDC2016-PandasFromTheInside
  Tutorial session from PyData Washington DC, Fri 7 October 2016
  ☆31Updated 8 years ago
• parsing-science / pymc3_quickstart_guide
  ☆80Updated 8 years ago