Math for Programmers: 3D Graphics, Machine Learning, and Simulations with Python

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Math for Programmers: 3D Graphics, Machine Learning, and Simulations with Python

Math for Programmers: 3D Graphics, Machine Learning, and Simulations with Python

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Price: £9.9
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Maybe if I became a construction site surveyor as my trigonometry teacher suggested, I’d be using sines and cosines every day to earn my paycheck. This free mini ebook is the perfect primer to essential math applications you need to break into these exciting and lucrative technology careers. He is co-founder of Tachyus, a start-up building predictive analytics software for the energy industry. A good eye for detail, investigative skills, and knowledge of programming and software automation are crucial to succeed in this role but it doesn’t require you to have a dedicated math background.

Purchase of Math for Programmers includes free access to a private web forum run by Manning Publications where you can make comments about the book, ask technical questions, and receive help from the author and from other users. If you pass in 10, the outer loop will execute 10 times, with the inner loop executing ten times for each of those, so the total becomes 10*10 = 100 executions of the method. Understanding binary helps us work with other numeral systems like hexadecimal (base-16) and base-64, which are essential in programming, especially for encoding and representing data. Boolean is a data type/binary variable that has one of the two possible values, for example 0 (false) or 1 (true). Each chapter features a complete, real-world application of a mathematical concept, complemented by exercises to help you check your understanding as well as mini-projects to help you continue your exploration.Most programmers aren't inventing new calculus concepts from scratch as part of their problem-solving. Chapter 3 extends the material of the previous chapter to 3D, where points are labeled by three coordinates instead of two. Remember, programming is often a team sport, where you’ll be working with other developers to build solutions. Conventional wisdom says that the first miles you drive a new car are the most expensive, so the exponential function (equation 1. It’s like any other field: no physicist knows all major areas of physics, no mathematician knows all major areas of math.

But when your coworker talks about using his “O of N” solution, you don’t actually know what that means. The possibilities are endless, and as a programmer, you have the power to choose which system to use depending on the needs of your project. Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Having a strong grasp of these basic skills can help you approach problems with logic and develop a programmer’s mindset.This book summarizes all the core mathematical topics a typical professional software engineer needs to know. When your job involves writing or debugging code that manipulates millions of bytes of data, that is a very useful skill to have. A keen learner, seeking to broaden her tech knowledge and writing skills, whilst helping guide others. It's a listing of the math that I am glad to vaguely be aware of, without anything that requires true understanding, because I don't have that, but with references to what the people who do have it can do!

My main criterion became the following: this was going to be Math for Programmers, not Math for Computer Scientists. You can use numeric subscripts to label the various positions it has over its flight, starting with v0 = ( x0, y0, u0). With that in mind, I could leave out topics like discrete math, combinatorics, graphs, logic, Big O notation, and so on, that are covered in computer science classes and mostly used to study programs.

In the streets or in the countryside, it was easy to identify where they lived and what their trade or station in life was just by their dress.

In the same way that knowing about design patterns in software help you quickly understand a complex technique, O notation helps you understand and discuss how complex and resource intensive a solution is a function of its inputs. O notation can also help you avoid writing terrible algorithms or solutions that perform wildly worse than others. These math concepts will make you a better programmer, and you'll be well-equipped to conquer a wide range of challenges in the ever-evolving field of technology.

Numerical stability was (and is) a hard problem about practices needed to get consistent and useful results from numerical algorithms. If errata or bugs are fixed in the source code online, I’ll include notes there to reconcile any differences from the code printed in the text. Will you stick to the traditional decimal system, or will you explore new and creative ways to represent numbers? The book starts by introducing 2D and 3D vector geometry, vector spaces, linear transformations, and matrices; these are the bread and butter of the subject of linear algebra.



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