tdpetrou / Minimally-Sufficient-Pandas
There are always multiple ways to complete a task in Pandas. A minimal subset of the library is sufficient for almost everything.
☆83Updated 2 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
- Tutorial covering a new workflow available going from pandas to scikit-learn☆40Updated 2 years ago
- Python data science and machine learning from Ted Petrou with Dunder Data☆55Updated 2 years ago
- Tidy Data in Python Jupyter Notebook☆94Updated 2 years ago
- Bayesian statistical modelling using numpy and PyMC3. Telling stories using the language of probability. And more!☆16Updated 6 years ago
- Reproducible Data Analysis Workflow in Jupyter☆118Updated 6 years ago
- ☆86Updated 6 years ago
- Explorations of survival analysis in Python☆50Updated 2 years ago
- ☆90Updated 4 years ago
- Scipy 2019 JupyterLab tutorial☆51Updated 5 years ago
- A short tutorial for data scientists on how to write tests for code + data.☆120Updated 4 years ago
- PyData NYC 2017: Pandas Head to Tail☆57Updated 7 years ago
- Jupyter Notebooks for https://datascience.quantecon.org☆44Updated 4 years ago
- 📈 Interactive comparison of Python plotting libraries for exploratory data analysis. Examples of using Pandas plotting, plotnine, Seabor…☆108Updated 4 years ago
- Utility functions for "Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python"☆76Updated last year
- Data exploration library with a pandas-like API☆74Updated 4 years ago
- Notebooks for https://python-programming.quantecon.org☆56Updated last month
- ☆30Updated 7 years ago
- Presented at Scipy Conference 2019☆126Updated 5 years ago
- This repository has the Python equivalent code for the book Practical Statistics for Data Scientists: 50 Essential Concepts, by Peter Br…☆37Updated 7 years ago
- JupyterCon Missing Data Talk 2018☆23Updated 6 years ago
- Notebooks of Python and R code which illustrates basic causal inference using simulated data☆23Updated 6 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆25Updated 5 years ago
- Introduction to Probability and Statistics☆56Updated 2 years ago
- Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.☆91Updated 8 months ago
- Public repo for the pymetalog project☆38Updated 3 years ago
- An introduction to Bayesian statistics using Python and (coming soon) R.☆131Updated last year
- Up Your Bus Number: A Primer for Reproducible Data Science☆68Updated 6 years ago
- Learn how to build a data analysis library from scratch☆203Updated 3 years ago
- ☆47Updated 5 years ago
- Repository for an online class on Exploratory Data Analysis in Python☆66Updated 5 years ago