stevesimmons / pydata-berlin2017-pandas-and-dask-from-the-insideLinks
☆22Updated 8 years ago
Alternatives and similar repositories for pydata-berlin2017-pandas-and-dask-from-the-inside
Users that are interested in pydata-berlin2017-pandas-and-dask-from-the-inside are comparing it to the libraries listed below
Sorting:
- Example Python DS project☆71Updated 7 years ago
- Reproducible Data Analysis Workflow in Jupyter☆118Updated 7 years ago
- Leveling up your Jupyter notebook skills☆78Updated 7 years ago
- Creating interactive visualizations with Python☆258Updated 2 years ago
- ☆77Updated 7 years ago
- PyData NYC 2017: Pandas Head to Tail☆57Updated 7 years ago
- A short tutorial for data scientists on how to write tests for code + data.☆120Updated 5 years ago
- Interactive plotting for Pandas using Vega-Lite☆344Updated 6 years ago
- Notebooks for the Altair tutorial☆360Updated 5 years ago
- ☆316Updated 4 years ago
- ☆86Updated 7 years ago
- Materials for PyCon 2017 presentation on optimizing Pandas code☆213Updated 5 years ago
- Using Project Jupyter for data science.☆259Updated 4 years ago
- For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8☆116Updated 3 years ago
- Tutorial and Examples Jupyter Notebooks for Altair☆227Updated 4 years ago
- NO LONGER SUPPORTED - use https://github.com/plotly/dash-table instead☆173Updated 6 years ago
- A Pandas Styler class for making beautiful tables☆416Updated 2 years ago
- ☆55Updated 2 years ago
- Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH☆155Updated 4 years ago
- A fork of the cookiecutter-data-science leveraging Docker for local development.☆131Updated 5 years ago
- Tools for test driven data-wrangling and data validation.☆294Updated 3 years ago
- An easy to use waterfall chart function for Python☆162Updated 4 years ago
- A library for defensive data analysis.☆502Updated 5 years ago
- Another library for defensive data analysis.☆29Updated 6 years ago
- Render sparkline style charts in pandas dataframes☆93Updated 4 years ago
- Course materials for my data pipeline video course with O'Reilly☆200Updated 7 years ago
- A quick intro to Dash made for the PyData event in Zurich☆60Updated 7 years ago
- ☆136Updated 5 years ago
- Materials for the pandas tutorial at PyData Chicago 2016☆55Updated 4 years ago
- Tutorial session from PyData Washington DC, Fri 7 October 2016☆31Updated 8 years ago