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
- Scipy 2019 JupyterLab tutorial☆51Updated 5 years ago
- Python data science and machine learning from Ted Petrou with Dunder Data☆55Updated 2 years ago
- Public repo for the pymetalog project☆38Updated 3 years ago
- 📈 Interactive comparison of Python plotting libraries for exploratory data analysis. Examples of using Pandas plotting, plotnine, Seabor…☆108Updated 4 years ago
- Bayesian statistical modelling using numpy and PyMC3. Telling stories using the language of probability. And more!☆16Updated 5 years ago
- Reproducible Data Analysis Workflow in Jupyter☆118Updated 6 years ago
- Presented at Scipy Conference 2019☆125Updated 5 years ago
- A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.☆77Updated 6 years ago
- Tidy Data in Python Jupyter Notebook☆94Updated 2 years ago
- PyData NYC 2017: Pandas Head to Tail☆57Updated 7 years ago
- This repository includes all the data analyses I carry out for my general exams reading, Spring 2015☆64Updated 9 years ago
- A short tutorial for data scientists on how to write tests for code + data.☆119Updated 4 years ago
- Pandas tutorial for SciPy 2019☆101Updated last year
- Cookiecutter template for data analysis☆37Updated 4 years ago
- Repository for an online class on Exploratory Data Analysis in Python☆66Updated 5 years ago
- An in-depth introduction to Pandas' MultiIndexes and practical code snippets☆56Updated 6 years ago
- ☆22Updated 2 years ago
- Materials for the pandas tutorial at PyData Chicago 2016☆54Updated 4 years ago
- Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.☆90Updated 7 months ago
- Course notes for Computational Statistics and Statistical Compuing☆63Updated 5 years ago
- Introduction to Statistical Modeling with Python (PyCon 2017)☆166Updated 4 years ago
- Fuzzy joins for python pandas - easily join different datasets☆59Updated 4 years ago
- ☆86Updated 6 years ago
- A Primer on Python for Statistical Programming and Data Science☆26Updated 6 years ago
- This repository has the Python equivalent code for the book Practical Statistics for Data Scientists: 50 Essential Concepts, by Peter Br…☆35Updated 7 years ago
- Educational resources☆105Updated 3 years ago
- ☆48Updated 6 years ago
- Interactive data exploration with Altair☆108Updated 4 years ago
- Utility functions used in the DataCamp Statistical Thinking courses.☆48Updated 3 years ago