Welcome to the repository for projects inspired by the book "Modeling and Simulation in Python" by Allen B. Downey. This repository serves as a platform for learning and experimenting with physical modeling using computational methods in Python.
"Modeling and Simulation in Python" offers an introduction to physical modeling through computational approaches. The book is organized into chapters covering various aspects of modeling and simulation:
- Preface
- Modeling
- Bike Share System
- Iteration
- Sweeping Parameters
- World Population
- Proportional Growth
- Limits to Growth
- Projecting Population Growth
- Analysis of Population Growth
- Case Studies Part 1
- Epidemiology
- Modeling Vaccination
- Sweeping Parameters
- Nondimensionalization
- Cooling Coffee
- Adding Milk
- Pharmacokinetics
- Glucose and Insulin
- Case Studies Part 2
- The Empire State Building Strikes Back
- Drag
- Baseball
- Optimal Baseball
- Case Studies Part 3
- Rotation
- Torque
- Under the Hood
Using a computational approach allows for the exploration of more realistic models compared to traditional physics classes. Python is chosen as the primary programming language due to its accessibility to beginners and its ability to express solutions using high-level data structures.
The book is available under a Creative Commons license, allowing users to copy, distribute, and modify it for non-commercial purposes while attributing the source.
This repository is designed to accompany the book, offering a space for learners to practice and explore the concepts discussed in each chapter. You can use this repository to:
- Implement projects inspired by the examples in the book.
- Extend the existing models with additional features and complexities.
- Collaborate with others interested in modeling and simulation.
To get started with projects inspired by "Modeling and Simulation in Python":
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Clone the Repository: Clone this repository to your local machine using Git.
git clone https://github.com/Umang-Lodaya/Modeling-and-Simulation-in-Python.git
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Explore the Examples: Take a look at the examples provided in the book and replicate them in your own code.
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Experiment and Extend: Experiment with different parameters and extend the models to explore new scenarios and phenomena.
Special thanks to Allen B. Downey for creating "Modeling and Simulation in Python" and for making it freely available to the community. Check out other free books by Allen Downey available from Green Tea Press.
Happy modeling and simulating! 🚀🐍