QCaudron / pydata_pandas
A PyData workshop on pandas
☆78Updated 7 years ago
Alternatives and similar repositories for pydata_pandas:
Users that are interested in pydata_pandas are comparing it to the libraries listed below
- SciPy 2017 Pandas Tutorial☆161Updated 4 years ago
- For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8☆115Updated 3 years ago
- Code for a workshop on statistical interference using computational methods in Python.☆219Updated 3 years ago
- Reproducible Data Analysis Workflow in Jupyter☆118Updated 6 years ago
- Pandas tutorial for SciPy2015 and SciPy2016 conference☆142Updated 7 years ago
- A collection of notebook to learn the Applied Predictive Modeling using Python.☆271Updated 8 years ago
- ☆87Updated 6 years ago
- Introduction to Statistical Modeling with Python (PyCon 2017)☆166Updated 4 years ago
- Jupyter Notebook examples for talk delivered at PyConAU 2016 (August 12-16) by Ioanna Ioannou and Maoyuan Liu☆23Updated 8 years ago
- Leveling up your Jupyter notebook skills☆77Updated 7 years ago
- General Assembly repo for Data Science 18☆36Updated 9 years ago
- Scikit-Learn Tutorial for PyData Seattle 2015☆137Updated 9 years ago
- An Introduction to Data Wrangling with Python☆82Updated 2 years ago
- The Code belonging to my course "Data Analysis in Python and pandas"☆67Updated 9 years ago
- Workshop: Intro to Python for Data Analysis☆71Updated 10 years ago
- A curated list of awesome Machine Learning frameworks, libraries and software.☆39Updated 8 years ago
- Materials for PyCon 2017 presentation on optimizing Pandas code☆214Updated 5 years ago
- Example Python DS project☆71Updated 6 years ago
- Tidy Data in Python Jupyter Notebook☆94Updated 2 years ago
- Jupyter notebooks from my O'Reilly Media course "Matplolib for Developers: Data Visualization and Analysis with Python"☆138Updated 8 years ago
- Data Cleaning Libraries with Python☆284Updated last year
- PyData NYC 2017: Pandas Head to Tail☆57Updated 7 years ago
- This repo contains some R learning activities we created for the course I for the ColumbiaX series on Data Science and Analytics on edX.☆65Updated 8 years ago
- A brief guide and tutorial on how to clean data using pandas and Jupyter notebook☆42Updated 10 months ago
- Walkthrough exercises from PandasTutorial by Wes McKinney.☆149Updated 4 years ago
- Repository containing files for my PyCon 2014 scikit-learn tutorial.☆59Updated 10 years ago
- Materials for the "Introduction to Machine Learning" class☆227Updated 5 years ago