Alternatives and similar repositories for ScPyT

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

• frankligy / pandas_by_examples
  A compendium of useful, interesting, inspirational usage of pandas functions, each example will be an ipynb file
  ☆41Updated 11 months ago
• awesome-panel / awesome-panel-introduction
  A repository containing an introduction to Panel made to be support videos and talks.
  ☆57Updated 4 years ago
• ghiffaryr / grplot
  ☆35Updated 3 weeks ago
• grahamharrison68 / Public-Github
  Repository for GH public projects
  ☆18Updated last year
• RamiKrispin / sdsu-docker-workshop
  SDSU Data Science Symposium 2024 - Docker Workshop
  ☆40Updated last year
• wrighter / python_blogposts
  Blog posts I've created about python, pandas, and related topics as a series of notebooks.
  ☆23Updated 2 years ago
• erdogant / hnet
  Association ruled based networks using graphical Hypergeometric Networks.
  ☆32Updated 4 months ago
• pycaret / examples
  Example Notebooks contributed by pycaret community!
  ☆45Updated 2 years ago
• 8080labs / showcases
  A collection of Python scripts
  ☆12Updated 5 years ago
• Aseem139 / pandas_cheatsheet
  A downloadable pdf containing summary of frequently used pandas operations.
  ☆10Updated 5 years ago
• chongjason914 / regular-expressions-regex
  Regular expression concepts with code examples
  ☆13Updated 4 years ago
• awesome-panel / awesome-panel-extensions
  The purpose of this repository is to make it as easy as possible to develop and use awesome Panel extensions.
  ☆58Updated last year
• jseabold / pandas-selectable
  A `select` accessor for easier subsetting of pandas DataFrames and Series
  ☆34Updated 2 years ago
• koaning / webdemos
  Just some FastHTML demos for safekeeps
  ☆14Updated last year
• sktime / sktime-workshop-pydata-london-2022
  PyData London 2022 sktime workshop
  ☆11Updated 2 years ago
• awesome-panel / awesome-panel-cli
  The Awesome Panel CLI makes it super simple to develop high-quality data apps with Panel 💪
  ☆20Updated 3 years ago
• scikit-learn-contrib / denmune-clustering-algorithm
  DenMune a clustering algorithm that can find clusters of arbitrary size, shapes and densities in two-dimensions. Higher dimensions are fi…
  ☆32Updated 10 months ago
• microsoft / python-sklearn-clustering-cookiecutter
  Cookiecutter template for testing Python scikit-learn clustering learners.
  ☆15Updated 3 years ago
• frank-ceballos / Designing-A-Robust-Feature-Selection-Pipeline-
  Feature selection with Python
  ☆15Updated 5 years ago
• shahinrostami / chord
  Engaging visualisations, made easy.
  ☆14Updated last year
• ericmjl / minimal-streamlit-example
  A minimal example of how to use streamlit on Heroku
  ☆21Updated 5 years ago
• y-sunflower / bumplot
  Easily create and customize bump charts in Python
  ☆67Updated 3 months ago
• luisroque / College_Statistics_with_Python
  We use Python to get intuition on complex concepts, empirically test theoretical proofs, or build algorithms from scratch
  ☆21Updated 4 years ago
• ArjanCodes / 2022-pulumi
  ☆11Updated 3 years ago
• xlwings / talks
  Material from presentations
  ☆13Updated 7 months ago
• krassowski / jupyterlab-dagitty
  JupyterLab renderer of dagitty causal diagrams
  ☆24Updated 2 years ago
• ericmjl / building-with-llms-made-simple
  A tutorial on how to build stuff with large language models, made simple
  ☆20Updated 5 months ago
• katewall / medium_tutorials
  ☆14Updated 3 years ago
• Matt-OP / fasteda
  A python module that provides a quick way to overview a DataFrame
  ☆50Updated 2 years ago
• MaayanLab / appyter
  jinja2-enabled jupyter notebooks
  ☆37Updated last week