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.
☆82Updated 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☆40Updated 2 years ago
- A short tutorial for data scientists on how to write tests for code + data.☆120Updated 5 years ago
- Reproducible Data Analysis Workflow in Jupyter☆118Updated 7 years ago
- Learn how to build a data analysis library from scratch☆207Updated 3 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 5 years ago
- Python data science and machine learning from Ted Petrou with Dunder Data☆55Updated 2 years ago
- Explorations of survival analysis in Python☆49Updated 2 years ago
- Tutorial and Examples Jupyter Notebooks for Altair☆228Updated 4 years ago
- Introduction to Probability and Statistics☆56Updated 3 years ago
- Repository for a workshop on Complexity Science☆39Updated 4 years ago
- Convert Jupyter notebook to Excel spreadsheet☆160Updated 5 years ago
- An introduction to Bayesian statistics using Python and (coming soon) R.☆134Updated 2 years ago
- Data exploration library with a pandas-like API☆74Updated 5 years ago
- ☆26Updated 7 years ago
- A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.☆76Updated 7 years ago
- Altair backend for pandas plotting☆104Updated 4 years ago
- Pandas tutorial for SciPy 2019☆101Updated last year
- Data Structures and Information Retrieval in Python☆133Updated last year
- Cookiecutter template for data analysis☆37Updated 5 years ago
- Tidy Data in Python Jupyter Notebook☆93Updated 2 years ago
- 📈 Interactive comparison of Python plotting libraries for exploratory data analysis. Examples of using Pandas plotting, plotnine, Seabor…☆110Updated 4 years ago
- Repository for an online class on Exploratory Data Analysis in Python☆66Updated 5 years ago
- Up Your Bus Number: A Primer for Reproducible Data Science☆69Updated 6 years ago
- Python library that represents empirical distribution functions.☆171Updated 3 months ago
- Introduction to Statistical Modeling with Python (PyCon 2017)☆169Updated 4 years ago
- A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using th…☆116Updated 2 years ago
- A Primer on Python for Statistical Programming and Data Science☆26Updated 6 years ago
- Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.☆94Updated last year
- ☆22Updated 2 years ago