Modeling and Simulation in Python is an introduction to modeling and simulation of physical systems using the Python programming language.

# Free Python Books

## Think DSP: Digital Signal Processing in Python

If you understand basic mathematics and know how to program with Python, you’re ready to dive into signal processing. While most resources start with theory to teach this complex subject, Think DSP: Digital Signal Processing in Python introduces techniques by showing you how they’re applied in the real world.

## Think Bayes: Bayesian Statistics Made Simple

Think Bayes: Bayesian Statistics Made Simple is an introduction to Bayesian statistics using computational methods. This book uses Python code instead of math, and discrete approximations instead of continuous mathematics. As a result, what would be an integral in a math book becomes a summation, and most operations on probability distributions are simple loops.

## Think Stats 2nd Edition

Think Stats: Exploratory Data Analysis in Python is an introduction to Probability and Statistics for Python programmers. It emphasizes simple techniques you can use to explore real data sets and answer interesting questions. The book presents a case study using data from the National Institutes of Health. Readers are encouraged to work on a project with real datasets.

## Think Python 2nd Edition

Think Python is an introduction to Python programming for beginners. This is the second edition of Think Python, which uses Python 3. It starts with basic concepts of programming, and is carefully designed to define all terms when they are first used and to develop each new concept in a logical progression. Larger pieces, like recursion and object-oriented programming are divided into a sequence of smaller steps and introduced over the course of several chapters.

## What you need to know about Python

What you need to know about Python: The absolute essentials you need to get Python up and running is designed to act as a brief, practical introduction to Python. It is full of practical examples which will get you up and running quickly with the core tasks of Python. It assumes that you know a bit about what Python is, what it does, and why you want to use it.

## Learning Python

Learning Python has a dynamic and varied nature. It reads easily and lays a good foundation for those who are interested in digging deeper. It has a practical and example-oriented approach through which both the introductory and the advanced topics are explained. Starting with the fundamentals of programming and Python, it ends by exploring very different topics, like GUIs, web apps and data science. The book takes you all the way to creating a fully fledged application.

## SciPy Programming Succinctly

James McCaffrey’s SciPy Programming Succinctly offers readers a quick, thorough grounding in knowledge of the Python open source extension SciPy. The SciPy library, accompanied by its interdependent NumPy, offers Python programmers advanced functions that work with arrays and matrices. Each section presents a complete demo program for programmers to experiment with, carefully chosen examples to best illustrate each function, and resources for further learning.

## Automate the Boring Stuff with Python

If you’ve ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you? In Automate the Boring Stuff with Python: Practical Programming for Total Beginners, you’ll learn how to use Python to write programs that do in minutes what would take you hours to do by hand—no prior programming experience required. Once you’ve mastered the basics of programming, you’ll create Python programs that effortlessly perform useful and impressive feats of automation.

## Python Succinctly

Learn to use the Python language to create programs of all kinds. Author Jason Cannon will guide you from complete unfamiliarity with Python to creating practical applications. With Python Succinctly, lack of experience isn’t an obstacle to programming language mastery.