Alternatives and similar repositories for til:

Users that are interested in til are comparing it to the libraries listed below

• ericmjl / data-testing-tutorial
  A short tutorial for data scientists on how to write tests for code + data.
  ☆120Updated 4 years ago
• jm-contreras / data-science-management-resources
  A list of resources for current and aspiring data science managers
  ☆16Updated 4 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated 2 years ago
• unravelin / code-test-data-science
  Data Scientist code test
  ☆19Updated 4 years ago
• wikimedia-research / Discovery-Hiring-Analyst-2016
  Task description and data for candidates applying to be a Data Analyst in the Discovery department at Wikimedia Foundation.
  ☆111Updated 8 years ago
• hackalog / bus_number
  Up Your Bus Number: A Primer for Reproducible Data Science
  ☆68Updated 6 years ago
• darenasc / auto-eda
  Automated Exploratory Data Analysis. Simplifying Data Exploration
  ☆35Updated 4 years ago
• jesford / testing-in-data-science
  Intro to Testing in Data Science Tutorial
  ☆35Updated 3 years ago
• gigisr / data_etl
  ☆10Updated 4 years ago
• ogrisel / text-mining-class
  Introduction to web scraping and text mining
  ☆48Updated 5 years ago
• wikimedia-research / search_task
  (Deprecated) Task for the Search & Discovery data analyst job.
  ☆21Updated 9 years ago
• FlorianWilhelm / polars_vs_pandas
  Comparing Polars to Pandas and a small introduction
  ☆43Updated 3 years ago
• yoonkanglow / Causal-Impact-Analysis-Demo
  ☆26Updated 7 years ago
• docker-for-data-science / docker-for-data-science-tutorial
  Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH
  ☆154Updated 4 years ago
• koaning / tokenwiser
  Bag of, not words, but tricks!
  ☆68Updated last year
• angelabassa / data-science-competency-matrix
  ☆125Updated 6 years ago
• trallard / ReproduciblePython
  Workshop materials for PyCon 2018 workshop on reproducible analysis in Python
  ☆111Updated 6 years ago
• corriebar / Bayesian-Workflow-with-PyMC
  Repository with code, notebook and slides for my talk at PyConDE & PyData Berlin 2019
  ☆36Updated 2 years ago
• tdpetrou / Advent-of-Code-Pandas
  ☆22Updated 2 years ago
• TomAugspurger / pydata-nyc-ph2t
  PyData NYC 2017: Pandas Head to Tail
  ☆57Updated 7 years ago
• dexplo / dexplo
  Data exploration library with a pandas-like API
  ☆74Updated 4 years ago
• drivendataorg / nbautoexport
  Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.
  ☆77Updated last year
• croach / statistics-for-hackers
  A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.
  ☆77Updated 6 years ago
• koaning / brent
  bayesian graphical modelling and a bit of do-calculus for discrete data.
  ☆27Updated 5 years ago
• klemag / PyconUS_2019-model-interpretability-tutorial
  Content for the Model Interpretability Tutorial at Pycon US 2019
  ☆41Updated 9 months ago
• ianozsvald / beyond_correlation
  Exploratory code to see if we can learn about feature relationships in a DataFrame using machine learning
  ☆55Updated 5 years ago
• crew102 / reprexpy
  Render reproducible examples of Python code for posting to GitHub or Stack Overflow (port of R package reprex)
  ☆91Updated last year
• EricSchles / drifter_ml
  A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.
  ☆102Updated 3 years ago
• d6t / d6tjoin
  Fuzzy joins for python pandas - easily join different datasets
  ☆59Updated 4 years ago
• hunterowens / data-pipelines
  ☆29Updated 8 years ago