An introductory textbook for people who have not programmed before. Covers basic MATLAB programming with emphasis on modeling and simulation of physical systems.

Physical Modeling in MATLAB

Downey, Allen

Computers & Technology

Green Tea Press

Elements of Data Science: Getting Started with Data Science and Python

Programming Languages

Think Python

O'Reilly Media, Inc.

Piensa en Python: cómo pensar como un informático

If you know how to program, you have the skills to turn data into knowledge using the tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.
You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts.
<ul>
<li>Develop your understanding of probability and statistics by writing and testing code</li>
<li>Run experiments to test statistical behavior, such as generating samples from several distributions</li>
<li>Use simulations to understand concepts that are hard to grasp mathematically</li>
<li>Learn topics not usually covered in an introductory course, such as Bayesian estimation</li>
<li>Import data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics tools</li>
<li>Use statistical inference to answer questions about real-world data</li>
</ul>

Think Stats

Computer Science

O'Reilly Media

Expand your Python skills by working with data structures and algorithms in a refreshing context—through an eye-opening exploration of complexity science. Whether you’re an intermediate-level Python programmer or a student of computational modeling, you’ll delve into examples of complex systems through a series of exercises, case studies, and easy-to-understand explanations.
You’ll work with graphs, algorithm analysis, scale-free networks, and cellular automata, using advanced features that make Python such a powerful language. Ideal as a text for courses on Python programming and algorithms, Think Complexity will also help self-learners gain valuable experience with topics and ideas they might not encounter otherwise.
<ul>
<li>Work with NumPy arrays and SciPy methods, basic signal processing and Fast Fourier Transform, and hash tables</li>
<li>Study abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machines</li>
<li>Get starter code and solutions to help you re-implement and extend original experiments in complexity</li>
<li>Explore the philosophy of science, including the nature of scientific laws, theory choice, realism and instrumentalism, and other topics</li>
<li>Examine case studies of complex systems submitted by students and readers</li>
</ul>

Think Complexity: Complexity Science and Computational Modeling

If you want to learn how to program, working with Python is an excellent way to start. This hands-on guide takes you through the language one step at a time, beginning with basic programming concepts before moving on to functions, recursion, data structures, and object-oriented design.Through exercises in each chapter, you’ll try out programming concepts as you learn them. Think Python is ideal for students at the high school or college level, as well as self-learners, home-schooled students, and professionals who need to learn programming basics.Start with the basics, including language syntax and semanticsGet a clear definition of each programming conceptLearn values, variables, statements, functions, and data structures in a logical progressionDiscover how to work with files and databasesUnderstand objects, methods, and object-oriented programmingUse debugging techniques to fix syntax, runtime, and semantic errorsExplore interface design, data structures, and GUI-based programs th

Programming

The goal of this book is to teach you to think like a computer scientist. This way of thinking combines some of the best features of mathematics, engineering, and natural science. Like mathematicians, computer scientists use formal languages to denote ideas (speciﬁcally computations). Like engineers, they design things, assembling components into systems and evaluating tradeoffs among alternatives. Like scientists, they observe the behavior of complex systems, form hypotheses, and test predictions. The single most important skill for a computer scientist is problem solving. Problem solving means the ability to formulate problems, think creatively about solutions, and express a solution clearly and accurately. As it turns out, the process of learning to program is an excellent opportunity to practice problem-solving skills. That’s why this chapter is called, “The way of the program.” On one level, you will be learning to program, a useful skill by itself. On another level, you will use programming as a means to an end. As we go along, that end will become clearer.

Think Python: An Introduction to Software Design

CreateSpace Independent Publishing Platform

Python 2: For Beginners Only starts the new programmer with the concepts of the basics. What is computer memory? What is a variable? What does it mean to "define a variable"? And gradually moves the student toward proficiency in what may be the most exciting language of the day.

Python 2: For Beginners Only

Kindy, Matthew

Currently used at many colleges, universities, and high schools, this hands-on introduction to computer science is ideal for people with little or no programming experience. The goal of this concise book is not just to teach you Java, but to help you think like a computer scientist. You’ll learn how to program—a useful skill by itself—but you’ll also discover how to use programming as a means to an end.
Authors Allen Downey and Chris Mayfield start with the most basic concepts and gradually move into topics that are more complex, such as recursion and object-oriented programming. Each brief chapter covers the material for one week of a college course and includes exercises to help you practice what you’ve learned.
<ul>
<li>Learn one concept at a time: tackle complex topics in a series of small steps with examples</li>
<li>Understand how to formulate problems, think creatively about solutions, and write programs clearly and accurately</li>
<li>Determine which development techniques work best for you, and practice the important skill of debugging</li>
<li>Learn relationships among input and output, decisions and loops, classes and methods, strings and arrays</li>
<li>Work on exercises involving word games, graphics, puzzles, and playing cards</li>
</ul>

Think Java: How to Think Like a Computer Scientist

Mayfield, Chris

See the best price to sell, buy, or rent books by Downey, Allen. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Downey, Allen

See the best price to sell, buy, or rent books by Downey, Allen. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Physical Modeling in MATLAB

Elements of Data Science: Getting Started with Data Science and Python

Think Python

Piensa en Python: cómo pensar como un informático

Think Stats

Think Complexity: Complexity Science and Computational Modeling

Think Python

Think Python: An Introduction to Software Design

Python 2: For Beginners Only

Think Java: How to Think Like a Computer Scientist