Alternatives and similar repositories for intro-sc-python

Users that are interested in intro-sc-python are comparing it to the libraries listed below

• pabloinsente / math-app-ml
  Essential mathematics for applied machine learning and data science
  ☆74Updated 2 years ago
• Foundations-of-Applied-Mathematics / Student-Materials
  Specification files for the Foundations of Applied Mathematics lab curriculum. https://foundations-of-applied-mathematics.github.io/
  ☆53Updated 9 months ago
• chendaniely / scipy-2020-pandas
  Learn Python through Data Processing in Pandas Tutorial
  ☆38Updated 4 years ago
• AllenDowney / PoliticalAlignmentCaseStudy
  Notebooks and data for a case study on political alignment, outlook, and beliefs
  ☆26Updated 5 months ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆50Updated 2 years ago
• tirthajyoti / Packt-Data_Wrangling
  Code repo for Packt course I developed, "Beginning Data Wrangling with Python"
  ☆30Updated 5 years ago
• mattharrison / Idiomatic-Pandas-Tutorial
  Pandas Training © MetaSnake 2022, CC BY-NC
  ☆18Updated 3 years ago
• tirthajyoti / Stats_data_science_ValleyML
  Notebooks for the ValleyML Bootcamp (Aug 2019) "Statistical methods for data science"
  ☆10Updated 5 years ago
• BexTuychiev / medium_stories
  A repository containing data and files for my stories on Medium.com.
  ☆56Updated 4 months ago
• boom-deva / Teaching_Advanced_SQL
  Teaching notes from my Advanced SQL workshops as local lead instructor at General Assembly New York. The first edition was created for th…
  ☆18Updated 5 years ago
• engineersCode / EngComp4_landlinear
  Using computational thinking to get deep insights on the foundations of linear algebra
  ☆113Updated last month
• nishadhka / Learning-Calculus-with-Python
  ☆43Updated 5 years ago
• PacktPublishing / Mastering-Machine-Learning-Algorithms-Second-Edition
  Mastering Machine Learning Algorithms Second Edition, published by Packt
  ☆62Updated 4 years ago
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆55Updated 2 years ago
• paiml / python_for_datascience
  [Video]Colab Notebooks for Python for Data Science by Pearson
  ☆43Updated 4 months ago
• cfgranda / math-tools-nyu
  DS-GA 1013 Mathematical Tools for Data Science
  ☆52Updated 4 years ago
• ashishpatel26 / datascienv
  datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest…
  ☆58Updated 3 years ago
• DataTalksClub / reading-club-nlp
  Notes from our NLP reading club!
  ☆16Updated 3 years ago
• hamedonline / ml-workflow
  A hands-on case study for demonstrating the stages involved in a machine learning project, from EDA to production.
  ☆37Updated last year
• uu-sml / sml-book-page
  Page for the SML book
  ☆50Updated 2 years ago
• PacktPublishing / Applied-Computational-Thinking-with-Python
  Applied Computational Thinking with Python, published by Packt
  ☆43Updated last year
• PacktWorkshops / The-Data-Wrangling-Workshop
  pandas, numpy, matplotlib, data-wrangling
  ☆29Updated 2 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated 2 years ago
• CarloLepelaars / stats_tutorial
  A gentle tutorial to essential concepts in statistics.
  ☆15Updated 6 years ago
• braaannigan / data-analysis-with-polars
  Public notebooks and datasets to accompany the Data Analysis with Polars course on Udemy
  ☆42Updated last year
• rasbt / numpy-intro-blogarticle-2020
  Jupyter Notebook for the "Scientific Computing in Python: Introduction to NumPy and Matplotlib" blog article
  ☆47Updated 4 years ago
• DrDub / artfeateng
  Code for the book Art of Feature Engineering
  ☆32Updated 3 years ago
• DataForScience / Probability
  Applied Probability Theory for Everyone
  ☆117Updated 8 months ago
• PacktWorkshops / The-Applied-Data-Science-Workshop
  ☆29Updated 2 years ago
• WillKoehrsen / mastering-large-datasets
  Work for Mastering Large Datasets with Python
  ☆19Updated 2 years ago