nealcaren / workshop_2014
Files for workshop at Center for Research on Inequalities and the Life Course
☆33Updated 10 years ago
Alternatives and similar repositories for workshop_2014:
Users that are interested in workshop_2014 are comparing it to the libraries listed below
- Data journalism and easy to replicate notebooks using Python, R, and Web visualisations☆89Updated 6 years ago
- Python 3.x notebooks about real-world data cleaning and visualization☆71Updated 8 years ago
- Source code for the "Practical Data Science in Python" tutorial☆58Updated 9 years ago
- Tidy Data in Python Jupyter Notebook☆94Updated 2 years ago
- Code and Notebooks for the Natural Language Processing with Python course.☆66Updated 7 years ago
- My talk at Strata 2014 in Santa Clara, CA☆73Updated 10 years ago
- ☆24Updated 11 years ago
- A (comprehensive) collection of open source tools used by the data community.☆51Updated 9 years ago
- Workshop material for "Introduction to Data Processing with Python"☆40Updated last year
- Code for my OSCON 2015 talk☆83Updated 9 years ago
- Example Jupyter notebooks of lightning visualizations☆56Updated 9 years ago
- Material for the statistics in Python tutorial☆43Updated 9 years ago
- ☆26Updated 7 years ago
- Code for Pythonic visualization blog post☆40Updated 7 years ago
- An Introduction to Data Wrangling with Python☆82Updated 2 years ago
- Create a blog using Jupyter and Pelican.☆77Updated 8 years ago
- Materials for teaching the Python for Everything workshop at UC Berkeley's D-lab☆72Updated 7 years ago
- ☆62Updated last month
- Python for Informatics: Exploring Information☆37Updated 7 years ago
- 📈 Interactive comparison of Python plotting libraries for exploratory data analysis. Examples of using Pandas plotting, plotnine, Seabor…☆107Updated 3 years ago
- Open Data Science Training content and code☆29Updated 11 years ago
- A Binder-compatible repo with a requirements.txt file☆26Updated 7 years ago
- Workshop: Intro to Python for Data Analysis☆72Updated 10 years ago
- Methods, tools, tips, and tricks for anyone interested in getting started doing data science for the social good.☆96Updated 5 years ago
- Tutorial session from PyData Washington DC, Fri 7 October 2016☆31Updated 8 years ago
- Supporting code for a video series on best practices for exploratory data analysis.☆73Updated 9 years ago
- A fun introduction to Pandas andScikit-Learn using nfl data☆45Updated 9 years ago
- A collection of Jupyter notebooks exploring different datasets.☆56Updated 2 years ago
- Programming Exercises☆77Updated 9 years ago
- An online reference for data journalism☆25Updated 10 years ago