tdpetrou / Minimally-Sufficient-PandasLinks
There are always multiple ways to complete a task in Pandas. A minimal subset of the library is sufficient for almost everything.
☆90Updated 3 years ago
Alternatives and similar repositories for Minimally-Sufficient-Pandas
Users that are interested in Minimally-Sufficient-Pandas are comparing it to the libraries listed below
Sorting:
- Tutorial covering a new workflow available going from pandas to scikit-learn☆39Updated 3 years ago
- Python data science and machine learning from Ted Petrou with Dunder Data☆55Updated 3 years ago
- Introduction to Probability and Statistics☆56Updated 3 years ago
- Tutorial and Examples Jupyter Notebooks for Altair☆230Updated 4 years ago
- Learn how to build a data analysis library from scratch☆209Updated 3 years ago
- Convert Jupyter notebook to Excel spreadsheet☆161Updated 5 years ago
- Explorations of survival analysis in Python☆50Updated 2 years ago
- A short tutorial for data scientists on how to write tests for code + data.☆121Updated 5 years ago
- This repository has the Python equivalent code for the book Practical Statistics for Data Scientists: 50 Essential Concepts, by Peter Br…☆39Updated 7 years ago
- Scipy 2019 JupyterLab tutorial☆51Updated 6 years ago
- 📈 Interactive comparison of Python plotting libraries for exploratory data analysis. Examples of using Pandas plotting, plotnine, Seabor…☆112Updated last month
- Reproducible Data Analysis Workflow in Jupyter☆118Updated 7 years ago
- An introduction to Bayesian statistics using Python and (coming soon) R.☆134Updated 2 years ago
- Tidy Data in Python Jupyter Notebook☆93Updated 3 years ago
- Pandas tutorial for SciPy 2019☆102Updated 2 years ago
- ☆22Updated 2 years ago
- Notebooks for the Altair tutorial☆363Updated 5 years ago
- Supplementary material for my book, Probably Overthinking It.☆159Updated 3 weeks ago
- Altair backend for pandas plotting☆104Updated 4 years ago
- PyData NYC 2017: Pandas Head to Tail☆57Updated 8 years ago
- Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.☆105Updated 6 years ago
- Cookiecutter template for data analysis☆38Updated 5 years ago
- A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.☆77Updated 7 years ago
- Data exploration library with a pandas-like API☆74Updated 5 years ago
- Repository for an online class on Exploratory Data Analysis in Python☆67Updated 6 years ago
- Educational resources☆105Updated 4 years ago
- ☆26Updated 8 years ago
- Python library that represents empirical distribution functions.☆173Updated 6 months ago
- ☆133Updated last year
- One day workshop for machine learning with scikit-learn☆63Updated 2 years ago