Melissa Lewis
pyvideo.org/video/3760/introduction-to-open-and-collaborative-data-analy
pygotham.org/2015/talks/123/introduction-to-open-and-collaborative-data-analysis-with-pandas-and-ipythonjupyter-notebook
Data munging is typically an involved and noisy process, but pandas -- especially using the notebook format -- make it easy to share and reproduce the process of analyzing data, from munging to analysis and even exploratory visualization! In this talk you'll get a glimpse of the pandas workflow and some tips for getting the most out of its use in the IPython/Jupyter notebook.
- introduction to open and collaborative data analysis with pandas and IPython/Jupyter Notebook ( Download)
- OSB 2015 - Introduction to data munging with pandas and IPython Notebook - Melissa Lewis ( Download)
- How Jupyter & Pandas Can Fast Track Data Analysis ( Download)
- Jupyter Notebook Complete Beginner Guide - From Jupyter to Jupyterlab, Google Colab and Kaggle! ( Download)
- Setup Jupyter and Pandas with Treasure Data ( Download)
- Jonathan Frederic: The past, present, and future of Jupyter and IPython ( Download)
- PyCaribbean 2016 - Introduction to data cleaning with Jupyter and pandas by Melissa Lewis ( Download)
- Brian Granger: All About Jupyter ( Download)
- Data Science Hands on with Open source Tools - Getting started with Jupyter Notebooks ( Download)
- SF Big Analytics: Interactive Data Science and Sharing with Jupyter and IPython by Min RK ( Download)
- I Analyzed 1.25 MILLION Jupyter notebooks for the Answer ( Download)
- Tiny Data: Using Jupyter Notebooks for Data Collection in a Nanotechnology Lab ( Download)
- Kyle Kelley - Jupyter Notebook ( Download)
- Kyle Kelley - To the Future with Jupyter ( Download)
- 2015-12-01 IPython/Jupyter Dev Meeting ( Download)
