The example projects are gravitation and projectile motion. A complete beginner to Python. Doing Math with Python in Coder's Bookshelf Humble Bundle. read more. To keep up with our coverage of books for programmers, follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews. Foundations of Deep Reinforcement Learning, Data Structures And Program Design Using C, Data Structures and Algorithms with JavaScript, Last Updated ( Sunday, 14 February 2016 ). I don’t know if you have found machine learning and programming books as dry as I have? Because let�s face it: If you�re a hobbyist without a stream of gnarly problems that Python is uniquely equipped to solve, you won�t use what you learn. The big problem with this book is that it is light on the math. Not quite up to what you can do using Wolfram Alpha or Mathematica on a Raspberry Pi but interesting. That’s what attracted me to read a book entitled Math for Programmers—not to learn maths but to see simple maths concepts turned into code and to use that information to improve my appreciation and knowledge of code and programming concepts. It�s a terrifically practical way to jump into programming Python and has some especially nice points connecting the work you do here to the kind of analysis you might be called on to do in a business or research setting. Too many times we�ve seen books that assume you�ll be working on a single platform, but one of the basic tenets of Python is that it can be run on almost anything. Doing Math with Python shows you how to use Python to delve into high school–level math topics like statistics, geometry, probability, and calculus. This field is for validation purposes and should be left unchanged. I then used the following code to add a random amount to each of the RGB components of each pixel in the image. Humble bundle. The last part of the book steps through a Multi-layer Perceptron (MLP) classifier for hand-written digit recognition. It�s true that you can at least copy the examples from the book, but the key to really making the most out of Doing Math With Python is coming in with a solid understanding the math concepts so you, in turn, can understand what Python adds to the equation. In the last third of the book you’ll learn the building blocks for some of the popular machine learning algorithms. Halfway through the book, Doing Math With Python has given you command of Python as a tool for automating some relatively complex algebra and statistical scenarios, and this is picked up on later with visual exploration of geometry.

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