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Introduction To Coding With Math A Practical Guide To Programming And Problem Solving


Introduction To Coding With Math A Practical Guide To Programming And Problem Solving
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Introduction To Coding With Math A Practical Guide To Programming And Problem Solving


Introduction To Coding With Math A Practical Guide To Programming And Problem Solving
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Author : Deep
language : en
Publisher: BEYOND BOOKS HUB
Release Date : 2025-05-07

Introduction To Coding With Math A Practical Guide To Programming And Problem Solving written by Deep and has been published by BEYOND BOOKS HUB this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-07 with Fiction categories.


“Introduction to Coding with Math” introduces readers to the fascinating world where math meets technology. This book helps readers understand the mathematical principles that form the foundation of computer programming and problem-solving. By exploring algorithms, loops, variables, and functions, readers will gain insights into how math concepts are applied in programming to solve complex problems. The book also covers practical coding exercises, making math more engaging by showing its real-world application in coding. This is a must-read for students interested in programming, math enthusiasts, and anyone looking to enhance their problem-solving skills.



A Programmer S Introduction To Mathematics


A Programmer S Introduction To Mathematics
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Author : Jeremy Kun
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2018-11-27

A Programmer S Introduction To Mathematics written by Jeremy Kun and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-27 with Computer science categories.


A Programmer's Introduction to Mathematics uses your familiarity with ideas from programming and software to teach mathematics. You'll learn about the central objects and theorems of mathematics, including graphs, calculus, linear algebra, eigenvalues, optimization, and more. You'll also be immersed in the often unspoken cultural attitudes of mathematics, learning both how to read and write proofs while understanding why mathematics is the way it is. Between each technical chapter is an essay describing a different aspect of mathematical culture, and discussions of the insights and meta-insights that constitute mathematical intuition. As you learn, we'll use new mathematical ideas to create wondrous programs, from cryptographic schemes to neural networks to hyperbolic tessellations. Each chapter also contains a set of exercises that have you actively explore mathematical topics on your own. In short, this book will teach you to engage with mathematics. A Programmer's Introduction to Mathematics is written by Jeremy Kun, who has been writing about math and programming for 8 years on his blog "Math Intersect Programming." As of 2018, he works in datacenter optimization at Google.



Introduction To Numerical Programming


Introduction To Numerical Programming
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Author : Titus A. Beu
language : en
Publisher: CRC Press
Release Date : 2014-09-03

Introduction To Numerical Programming written by Titus A. Beu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-03 with Mathematics categories.


Makes Numerical Programming More Accessible to a Wider Audience Bearing in mind the evolution of modern programming, most specifically emergent programming languages that reflect modern practice, Numerical Programming: A Practical Guide for Scientists and Engineers Using Python and C/C++ utilizes the author’s many years of practical research and teaching experience to offer a systematic approach to relevant programming concepts. Adopting a practical, broad appeal, this user-friendly book offers guidance to anyone interested in using numerical programming to solve science and engineering problems. Emphasizing methods generally used in physics and engineering—from elementary methods to complex algorithms—it gradually incorporates algorithmic elements with increasing complexity. Develop a Combination of Theoretical Knowledge, Efficient Analysis Skills, and Code Design Know-How The book encourages algorithmic thinking, which is essential to numerical analysis. Establishing the fundamental numerical methods, application numerical behavior and graphical output needed to foster algorithmic reasoning, coding dexterity, and a scientific programming style, it enables readers to successfully navigate relevant algorithms, understand coding design, and develop efficient programming skills. The book incorporates real code, and includes examples and problem sets to assist in hands-on learning. Begins with an overview on approximate numbers and programming in Python and C/C++, followed by discussion of basic sorting and indexing methods, as well as portable graphic functionality Contains methods for function evaluation, solving algebraic and transcendental equations, systems of linear algebraic equations, ordinary differential equations, and eigenvalue problems Addresses approximation of tabulated functions, regression, integration of one- and multi-dimensional functions by classical and Gaussian quadratures, Monte Carlo integration techniques, generation of random variables, discretization methods for ordinary and partial differential equations, and stability analysis This text introduces platform-independent numerical programming using Python and C/C++, and appeals to advanced undergraduate and graduate students in natural sciences and engineering, researchers involved in scientific computing, and engineers carrying out applicative calculations.



An Introduction To Programming And Numerical Methods In Matlab


An Introduction To Programming And Numerical Methods In Matlab
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Author : Steve Otto
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-12-06

An Introduction To Programming And Numerical Methods In Matlab written by Steve Otto and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-12-06 with Mathematics categories.


An elementary first course for students in mathematics and engineering Practical in approach: examples of code are provided for students to debug, and tasks – with full solutions – are provided at the end of each chapter Includes a glossary of useful terms, with each term supported by an example of the syntaxes commonly encountered



Learn To Code By Solving Problems


Learn To Code By Solving Problems
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Author : Daniel Zingaro
language : en
Publisher: No Starch Press
Release Date : 2021-06-29

Learn To Code By Solving Problems written by Daniel Zingaro and has been published by No Starch Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-29 with Computers categories.


Learn to Code by Solving Problems is a practical introduction to programming using Python. It uses coding-competition challenges to teach you the mechanics of coding and how to think like a savvy programmer. Computers are capable of solving almost any problem when given the right instructions. That’s where programming comes in. This beginner’s book will have you writing Python programs right away. You’ll solve interesting problems drawn from real coding competitions and build your programming skills as you go. Every chapter presents problems from coding challenge websites, where online judges test your solutions and provide targeted feedback. As you practice using core Python features, functions, and techniques, you’ll develop a clear understanding of data structures, algorithms, and other programming basics. Bonus exercises invite you to explore new concepts on your own, and multiple-choice questions encourage you to think about how each piece of code works. You’ll learn how to: Run Python code, work with strings, and use variables Write programs that make decisions Make code more efficient with while and for loops Use Python sets, lists, and dictionaries to organize, sort, and search data Design programs using functions and top-down design Create complete-search algorithms and use Big O notation to design more efficient code By the end of the book, you’ll not only be proficient in Python, but you’ll also understand how to think through problems and tackle them with code. Programming languages come and go, but this book gives you the lasting foundation you need to start thinking like a programmer.



The Science Of Functional Programming Draft Version


The Science Of Functional Programming Draft Version
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Author : Sergei Winitzki
language : en
Publisher: Lulu.com
Release Date :

The Science Of Functional Programming Draft Version written by Sergei Winitzki and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.




Learn Java With Math


Learn Java With Math
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Author : Ron Dai
language : en
Publisher: Apress
Release Date : 2019-11-11

Learn Java With Math written by Ron Dai and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-11 with Computers categories.


There are many good Java programming books on the market, but it's not easy to find one fit for a beginner. This book simplifies the complexity of Java programming and guides you through the journey to effectively work under the hood. You'll start with the fundamentals of Java programming and review how it integrates with basic mathematical concepts through many practical examples. You'll witness firsthand how Java can be a powerful tool or framework in your experimentation work. Learn Java with Math reveals how a strong math foundation is key to learning programming design. Using this as your motivation, you'll be programming in Java in no time. What You'll Learn Explore Java basics Program with Java using fun math-inspired examples Work with Java variables and algorithms Review I/O, loops, and control structures Use projects such as the Wright brothers coin flip game Who This Book Is For Those new to programming and Java but have some background in mathematics and are at least comfortable with using a computer.



Teach Your Kids To Code


Teach Your Kids To Code
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Author : Bryson Payne
language : en
Publisher: No Starch Press
Release Date : 2015-04-01

Teach Your Kids To Code written by Bryson Payne and has been published by No Starch Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-01 with Computers categories.


Teach Your Kids to Code is a parent's and teacher's guide to teaching kids basic programming and problem solving using Python, the powerful language used in college courses and by tech companies like Google and IBM. Step-by-step explanations will have kids learning computational thinking right away, while visual and game-oriented examples hold their attention. Friendly introductions to fundamental programming concepts such as variables, loops, and functions will help even the youngest programmers build the skills they need to make their own cool games and applications. Whether you've been coding for years or have never programmed anything at all, Teach Your Kids to Code will help you show your young programmer how to: –Explore geometry by drawing colorful shapes with Turtle graphics –Write programs to encode and decode messages, play Rock-Paper-Scissors, and calculate how tall someone is in Ping-Pong balls –Create fun, playable games like War, Yahtzee, and Pong –Add interactivity, animation, and sound to their apps Teach Your Kids to Code is the perfect companion to any introductory programming class or after-school meet-up, or simply your educational efforts at home. Spend some fun, productive afternoons at the computer with your kids—you can all learn something!



Programming Mathematics Using Matlab


Programming Mathematics Using Matlab
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Author : Lisa A. Oberbroeckling
language : en
Publisher: Academic Press
Release Date : 2020-05-09

Programming Mathematics Using Matlab written by Lisa A. Oberbroeckling and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-09 with Mathematics categories.


Providing an alternative to engineering-focused resources in the area, Programming Mathematics Using MATLAB® introduces the basics of programming and of using MATLAB® by highlighting many mathematical examples. Emphasizing mathematical concepts through the visualization of programming throughout the book, this useful resource utilizes examples that may be familiar to math students (such as numerical integration) and others that may be new (such as fractals). Additionally, the text uniquely offers a variety of MATLAB® projects, all of which have been class-tested thoroughly, and which enable students to put MATLAB® programming into practice while expanding their comprehension of concepts such as Taylor polynomials and the Gram–Schmidt process. Programming Mathematics Using MATLAB® is appropriate for readers familiar with sophomore-level mathematics (vectors, matrices, multivariable calculus), and is useful for math courses focused on MATLAB® specifically and those focused on mathematical concepts which seek to utilize MATLAB® in the classroom. - Provides useful visual examples throughout for student comprehension - Includes valuable, class-tested projects to reinforce both familiarity with MATLAB® and a deeper understanding of mathematical principles - Offers downloadable MATLAB® scripts to supplement practice and provide useful example



Mathematics For Machine Learning


Mathematics For Machine Learning
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Author : Marc Peter Deisenroth
language : en
Publisher: Cambridge University Press
Release Date : 2020-04-23

Mathematics For Machine Learning written by Marc Peter Deisenroth and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-23 with Computers categories.


Distills key concepts from linear algebra, geometry, matrices, calculus, optimization, probability and statistics that are used in machine learning.