stevesimmons / PyDataDC2016-PandasFromTheInsideLinks
Tutorial session from PyData Washington DC, Fri 7 October 2016
β31Updated 9 years ago
Alternatives and similar repositories for PyDataDC2016-PandasFromTheInside
Users that are interested in PyDataDC2016-PandasFromTheInside are comparing it to the libraries listed below
Sorting:
- Reproducible Data Analysis Workflow in Jupyterβ118Updated 7 years ago
- π Interactive comparison of Python plotting libraries for exploratory data analysis. Examples of using Pandas plotting, plotnine, Seaborβ¦β112Updated 2 months ago
- An Introduction to Data Wrangling with Pythonβ82Updated 3 years ago
- PyData NYC 2015 conferenceβ94Updated 10 years ago
- PyData NYC 2017: Pandas Head to Tailβ57Updated 8 years ago
- For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8β116Updated 4 years ago
- PyData London 2016 materialβ37Updated 9 years ago
- Code for my OSCON 2015 talkβ83Updated 10 years ago
- Computational Statistics II Tutorial at SciPy 2015β48Updated 10 years ago
- Interactive data exploration with Altairβ111Updated 5 years ago
- Building Python Data Applications with Blaze and Bokeh Tutorial, SciPy 2015β144Updated 10 years ago
- Pandas tutorial for SciPy2015 and SciPy2016 conferenceβ142Updated 8 years ago
- Tidy Data in Python Jupyter Notebookβ93Updated 3 years ago
- Materials for the pandas tutorial at PyData Chicago 2016β56Updated 5 years ago
- Code for a workshop on statistical interference using computational methods in Python.β226Updated 4 years ago
- HoloViews+Bokeh tutorial for JupyterCon 2017β51Updated 3 years ago
- How to Bootstrap Internal Applications With IPython Widgets (PyData 2015)β19Updated 10 years ago
- an introduction to Data Science using Pythonβ30Updated 8 years ago
- Materials for my pandas tutorial at PyData 2014, NYCβ111Updated 10 years ago
- β31Updated 9 years ago
- Advance Tutorial For SciPyβ80Updated 8 years ago
- β195Updated 7 months ago
- Examples for Bokeh Dashboard webinarβ28Updated 9 years ago
- code for my "stupid itertools tricks" talk from pydata seattle 2015β152Updated 9 years ago
- β41Updated 9 years ago
- β87Updated 7 years ago
- functional data manipulation for pandasβ198Updated 10 years ago
- β41Updated 10 years ago
- SQLCell is a magic function for the Jupyter Notebook that executes raw, parallel, parameterized SQL queries with the ability to accept Pyβ¦β150Updated 3 years ago
- Magic functions for using Jupyter Notebook with Apache Spark and a variety of SQL databases.β171Updated 7 years ago