s-heisler / pycon2017-optimizing-pandas
Materials for PyCon 2017 presentation on optimizing Pandas code
☆214Updated 5 years ago
Alternatives and similar repositories for pycon2017-optimizing-pandas:
Users that are interested in pycon2017-optimizing-pandas are comparing it to the libraries listed below
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆285Updated 7 years ago
- Example Python DS project☆71Updated 6 years ago
- Code for a workshop on statistical interference using computational methods in Python.☆219Updated 3 years ago
- Introduction to Statistical Modeling with Python (PyCon 2017)☆166Updated 4 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 6 years ago
- ☆87Updated 6 years ago
- Reproducible Data Analysis Workflow in Jupyter☆118Updated 6 years ago
- Scikit-Learn Tutorial for PyData Seattle 2015☆137Updated 9 years ago
- ☆318Updated 3 years ago
- COMS W4995 Applied Machine Learning - Spring 18☆158Updated 5 years ago
- Pandas tutorial for SciPy2015 and SciPy2016 conference☆142Updated 7 years ago
- PyCon 2017 tutorial on time series analysis☆72Updated 7 years ago
- An Introduction to Data Wrangling with Python☆82Updated 2 years ago
- Using Project Jupyter for data science.☆259Updated 4 years ago
- For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8☆115Updated 3 years ago
- Materials for my pandas tutorial at PyData 2014, NYC☆111Updated 9 years ago
- Jupyter notebooks from my O'Reilly Media course "Matplolib for Developers: Data Visualization and Analysis with Python"☆139Updated 8 years ago
- Code for a tutorial on Bayesian Statistics by Allen Downey.☆349Updated 4 years ago
- Advanced Machine Learning with Scikit-learn part II☆163Updated 4 years ago
- A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.☆76Updated 6 years ago
- ☆41Updated 8 years ago
- Parallel computing in Python tutorial materials☆303Updated 5 years ago
- 📈 Interactive comparison of Python plotting libraries for exploratory data analysis. Examples of using Pandas plotting, plotnine, Seabor…☆107Updated 3 years ago
- PyData, The Complete Works of☆299Updated 8 years ago
- Code material for a data science tutorial☆197Updated 7 years ago
- Tidy Data in Python Jupyter Notebook☆94Updated 2 years ago
- SciPy 2017 Pandas Tutorial☆161Updated 4 years ago
- A collection of notebook to learn the Applied Predictive Modeling using Python.☆271Updated 8 years ago
- Materials for the "Introduction to Machine Learning" class☆227Updated 6 years ago
- Collection of jupyter notebooks☆155Updated last year