stevesimmons / pydata-berlin2017-pandas-and-dask-from-the-insideLinks
☆22Updated 7 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 6 years ago
- Reproducible Data Analysis Workflow in Jupyter☆118Updated 6 years ago
- Materials for PyCon 2017 presentation on optimizing Pandas code☆213Updated 5 years ago
- Leveling up your Jupyter notebook skills☆78Updated 7 years ago
- For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8☆116Updated 3 years ago
- Interactive plotting for Pandas using Vega-Lite☆344Updated 6 years ago
- ☆317Updated 4 years ago
- Using Project Jupyter for data science.☆259Updated 4 years ago
- PyData NYC 2017: Pandas Head to Tail☆57Updated 7 years ago
- Notebooks for the Altair tutorial☆358Updated 5 years ago
- Materials for the pandas tutorial at PyData Chicago 2016☆55Updated 4 years ago
- A library for defensive data analysis.☆501Updated 5 years ago
- Tutorial and Examples Jupyter Notebooks for Altair☆227Updated 4 years ago
- code for my "stupid itertools tricks" talk from pydata seattle 2015☆153Updated 9 years ago
- Creating interactive visualizations with Python☆257Updated 2 years ago
- Computational Statistics II Tutorial at SciPy 2015☆48Updated 10 years ago
- A short tutorial for data scientists on how to write tests for code + data.☆120Updated 4 years ago
- Tidy Data in Python Jupyter Notebook☆93Updated 2 years ago
- Render sparkline style charts in pandas dataframes☆93Updated 4 years ago
- A Pandas Styler class for making beautiful tables☆416Updated 2 years ago
- Code for my OSCON 2015 talk☆83Updated 9 years ago
- Material for Talk at PyData Seattle 2017☆168Updated 7 years ago
- ☆77Updated 7 years ago
- ☆135Updated 5 years ago
- Scikit-Learn Tutorial for PyData Seattle 2015☆136Updated 9 years ago
- Magic functions for using Jupyter Notebook with Apache Spark and a variety of SQL databases.☆171Updated 6 years ago
- Pandas tutorial for SciPy2015 and SciPy2016 conference☆142Updated 8 years ago
- A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.☆76Updated 6 years ago
- Jupyter notebooks from my O'Reilly Media course "Matplolib for Developers: Data Visualization and Analysis with Python"☆139Updated 8 years ago
- Tools for test driven data-wrangling and data validation.☆294Updated 3 years ago