Doing Math with Python shows you how to use Python to delve into high school level math topics like statistics, geometry, probability, and calculus. You ll start with simple projects, like a factoring program and a quadratic-equation solver, and then create more complex projects once you ve gotten the hang of things. Along the way, you ll discover new ways to explore math and gain valuable programming skills that you ll use throughout your study of math and computer science. Learn how to: Describe your data with statistics, and visualize it with line graphs, bar charts, and scatter plots Explore set theory and probability with programs for coin flips, dicing, and other games of chance Solve algebra problems using Python s symbolic math functions Draw geometric shapes and explore fractals like the Barnsley fern, the Sierpinski triangle, and the Mandelbrot set Write programs to find derivatives and integrate functions Creative coding challenges and applied examples help you see how
Learn math by getting creative with code! Use the Python programming language to transform learning high school-level math topics like algebra, geometry, trigonometry, and calculus! Math Adventures with Python will show you how to harness the power of programming to keep math relevant and fun. With the aid of the Python programming language, you´ll learn how to visualize solutions to a range of math problems as you use code to explore key mathematical concepts like algebra, trigonometry, matrices, and cellular automata. Once you´ve learned the programming basics like loops and variables, you´ll write your own programs to solve equations quickly, make cool things like an interactive rainbow grid, and automate tedious tasks like factoring numbers and finding square roots. You´ll learn how to write functions to draw and manipulate shapes, create oscillating sine waves, and solve equations graphically. You´ll also learn how to: - Draw and transform 2D and 3D graphics with matrices - Make colorful designs like the Mandelbrot and Julia sets with complex numbers - Use recursion to create fractals like the Koch snowflake and the Sierpinski triangle - Generate virtual sheep that graze on grass and multiply autonomously - Crack secret codes using genetic algorithms As you work through the book´s numerous examples and increasingly challenging exercises, you´ll code your own solutions, create beautiful visualizations, and see just how much more fun math can be!
Doing Math with Python:Use Programming to Explore Algebra, Statistics, Calculus, and More! No Starch Press Amit Saha
Math Adventures with Python:An Illustrated Guide to Exploring Math with Code No Starch Press Peter Farrell
Math Adventures with Python:Fractals, Automata, 3D Graphics, and More! Peter Farrell
Invent Your Own Computer Games with Python will teach you how to make computer games using the popular Python programming language even if you ve never programmed before! Begin by building classic games like Hangman, Guess the Number, and Tic-Tac-Toe, and then work your way up to more advanced games, like a text-based treasure hunting game and an animated collision-dodging game with sound effects. Along the way, you ll learn key programming and math concepts that will help you take your game programming to the next level. Learn how to: Combine loops, variables, and flow control statements into real working programs Choose the right data structures for the job, such as lists, dictionaries, and tuples Add graphics and animation to your games with the pygame module Handle keyboard and mouse input Program simple artificial intelligence so you can play against the computer Use cryptography to convert text messages into secret code Debug your programs and find common errors As you wo
In The Ultimate Python Programming Guide for Beginners you will learn all the essential tools to become proficient in the python programming language. Learn how to install python in all major operating systems: Windows, Mac OS, and even Linux. You will be guided step by step from downloading the necessary files to making adjustments in the installation for your particular operating system. Learn the command line shell, and how to use it to run python in interactive and script modes. Discover how the python interpreter functions, and learn how to use the interactive command line shell through practical examples you can try on your own. Learn datatypes and variables in depth, with example code and discussion of the generated output. Numbers are covered in detail, including a discussion of the 4 number types in python: integer, float, complex, and boolean. Learn about Truthy and Falsy returns and how they relate to the boolean type. Practice with some of the many built-in python math functions, and discover the difference between format() and round() functions. Strings are one of the most important variables in any programming language. Learn in-depth how to explore, search, and even manipulate strings in python. Practice with python´s built-in string methods. Learn about python´s control structures and how to use boolean logic to achieve your software requirements. Deal with operators and develop an understanding of the strengths and differences of mathematical, relational and logical operators, as well as the importance of operator precedence and associativity. Learn about strings and the many ways to search through and manipulate them. Discover the power of inheritance and polymorphism. Learn how to open, manipulate and read, and close files on your file system. Learn about the philosophy and importance of code reuse, and how modules in python makes this simple. Examine the difference between procedural and Object Oriented programming. Which is right for you may depend on what kind of code you are writing. Practice control structures in python. Study operators and learn about operator overloading. An in-depth discussion of python sequences: lists, sets, tuples and dictionaries. Learn the strengths and weaknesses of each. Practice creating and manipulating python sequences.
Scientific Computation:Python Hacking for Math Junkies Bruce E Shapiro
If you know how to program with Python and also know a little about probability, you?re ready to tackle Bayesian statistics. With this book, you´ll learn how to solve statistical problems with Python code instead of mathematical notation, and use discrete probability distributions instead of continuous mathematics. Once you get the math out of the way, the Bayesian fundamentals will become clearer, and you?ll begin to apply these techniques to real-world problems. Bayesian statistical methods are becoming more common and more important, but not many resources are available to help beginners. Based on undergraduate classes taught by author Allen Downey, this book?s computational approach helps you get a solid start. * Use your existing programming skills to learn and understand Bayesian statistics * Work with problems involving estimation, prediction, decision analysis, evidence, and hypothesis testing * Get started with simple examples, using coins, M&Ms, Dungeons & Dragons dice, paintball, and hockey * Learn computational methods for solving real-world problems, such as interpreting SAT scores, simulating kidney tumors, and modeling the human microbiome.