Alternatives and similar repositories for Intro-to-Computation-and-Programming

Users that are interested in Intro-to-Computation-and-Programming are comparing it to the libraries listed below

• mikexcohen / LinAlg4DataScience
  Code that accompanies the book "Linear Algebra for Data Science"
  ☆390Updated last year
• thomasnield / machine-learning-demo-data
  ☆236Updated last year
• Yolanda-HT / MIT_18.6501x
  Fundamentals of Statistics
  ☆45Updated 4 years ago
• PacktPublishing / Practical-Discrete-Mathematics
  Practical Discrete Mathematics, published by Packt
  ☆136Updated last month
• PacktWorkshops / The-Statistics-and-Calculus-with-Python-Workshop
  ☆157Updated last month
• intro-stat-learning / ISLP_labs
  Up-to-date version of labs for ISLP
  ☆1,207Updated 9 months ago
• mikexcohen / LinAlgBook
  Python and MATLAB code for linear algebra textbook.
  ☆199Updated last year
• sylvaticus / MITx_6.86x
  Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning
  ☆332Updated 2 years ago
• AllenDowney / ElementsOfDataScience
  An introduction to data science in Python, for people with no programming experience.
  ☆466Updated 7 months ago
• thomasnield / oreilly_essential_math_for_data_science_book
  Book code for "Essential Math for Data Science"
  ☆61Updated 2 years ago
• pdeitel / IntroToPython
  Files associated with our book Intro to Python for Computer Science and Data Science
  ☆370Updated 2 years ago
• reuven / pandas-workout
  Files for my "Pandas Workout" book
  ☆101Updated last year
• mikexcohen / LinAlgCourse
  Python and MATLAB code for online linear algebra course
  ☆198Updated last month
• gedeck / mistat-code-solutions
  Code repository for "Modern Statistics: A Computer Based Approach with Python" and "Industrial Statistics: A Computer Based Approach with…
  ☆108Updated last month
• siriwarwick / book
  This is the GitHub homepage for my book: Exploring University Mathematics with Python by Siri Chongchitnan (Springer, 2023).
  ☆53Updated 11 months ago
• stefmolin / Hands-On-Data-Analysis-with-Pandas-2nd-edition
  Materials for following along with Hands-On Data Analysis with Pandas – Second Edition
  ☆684Updated 8 months ago
• vbartle / VMLS-Companions
  These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.
  ☆351Updated 5 years ago
• AllenDowney / ThinkPythonSolutions
  Development repo for Think Python 3rd edition
  ☆201Updated 5 months ago
• intro-stat-learning / ISLP
  ISLP package: data and code for labs
  ☆171Updated last year
• Harvard-IACS / 2021-CS109A
  ☆144Updated 4 years ago
• Varal7 / ml-tutorial
  Introduction to ML packages for the 6.86x course
  ☆404Updated 5 years ago
• PacktPublishing / Data-Science-Projects-with-Python-Second-Ed
  ☆128Updated last month
• alexanderskulikov / discrete-math-python-scripts
  Python code snippets from Discrete Mathematics for Computer Science specialization at Coursera
  ☆424Updated 5 months ago
• PacktPublishing / Python-Machine-Learning-By-Example-Third-Edition
  Python Machine Learning By Example Third Edition, published by Packt
  ☆212Updated last month
• harvard-ml-courses / cs181-textbook
  ☆271Updated 6 months ago
• MMiDS-textbook / MMiDS-textbook.github.io
  Website for the textbook Mathematical Methods in Data Science (MMiDS) by Sebastien Roch
  ☆82Updated 2 months ago
• Yolanda-HT / MIT_6.419x
  Data Analysis: Statistical Modeling and Computation in Applications
  ☆61Updated 4 years ago
• numpy / numpy-tutorials
  NumPy tutorials & educational content in notebook format
  ☆614Updated last week
• edatfreecodecamp / python-math
  ☆275Updated last year
• reuven / python-workout
  Files for the Python Workout book
  ☆252Updated 2 months ago