Programming PHP

Based on the author's forty years of teaching experience, this unique textbook covers both basic and advanced concepts of optimization theory and methods for process systems engineers. Topics covered include continuous, discrete and logic optimization (linear, nonlinear, mixed-integer and generalized disjunctive programming), optimization under uncertainty (stochastic programming and flexibility analysis), and decomposition techniques (Lagrangean and Benders decomposition). Assuming only a basic background in calculus and linear algebra, it enables easy understanding of mathematical reasoning, and numerous examples throughout illustrate key concepts and algorithms. End-of-chapter exercises involving theoretical derivations and small numerical problems, as well as in modeling systems like GAMS, enhance understanding and help put knowledge into practice. Accompanied by two appendices containing web links to modeling systems and models related to applications in PSE, this is an essential

Learn Quantum Computing with Python and Q# introduces quantum computing from a practical perspective. Summary Learn Quantum Computing with Python and Q# demystifies quantum computing. Using Python and the new quantum programming language Q#, you'll build your own quantum simulator and apply quantum programming techniques to real-world examples including cryptography and chemical analysis. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Quantum computers present a radical leap in speed and computing power. Improved scientific simulations and new frontiers in cryptography that are impossible with classical computing may soon be in reach. Microsoft's Quantum Development Kit and the Q# language give you the tools to experiment with quantum computing without knowing advanced math or theoretical physics. About the book Learn Quantum Computing with Python and Q# introduces quantum computing from a practical pers

Data Structures using Python provides an introduction to design, analysis, and implementation of data structures using the powerful programming language, Python. This book is designed for a first cour

Understand common scheduling as well as other advanced operational problems with this valuable reference from a recognized leader in the field. Beginning with basic principles and an overview of linear and mixed-integer programming, this unified treatment introduces the fundamental ideas underpinning most modeling approaches, and will allow you to easily develop your own models. With more than 150 figures, the basic concepts and ideas behind the development of different approaches are clearly illustrated. Addresses a wide range of problems arising in diverse industrial sectors, from oil and gas to fine chemicals, and from commodity chemicals to food manufacturing. A perfect resource for engineering and computer science students, researchers working in the area, and industrial practitioners.

Strategies for building large systems that can be easily adapted for new situations with only minor programming modifications.Time pressures encourage programmers to write code that works well for a n

本書注重實際操作部分，對理論知識作精簡地介紹。在上機部分，主要注重資料庫基礎知識的實際操作，以便進行後面資料庫實際案例的設計。本書的精華部分就是將Java、PHP語言和MySQL、SQLServer資料庫相結合，並給出實際應用實例。

Want to kill it at your job interview in the tech industry? Want to win that coding competition? Learn all the algorithmic techniques and programming skills you need from two experienced coaches, problem setters, and jurors for coding competitions. The authors highlight the versatility of each algorithm by considering a variety of problems and show how to implement algorithms in simple and efficient code. Readers can expect to master 128 algorithms in Python and discover the right way to tackle a problem and quickly implement a solution of low complexity. Classic problems like Dijkstra's shortest path algorithm and Knuth-Morris-Pratt's string matching algorithm are featured alongside lesser known data structures like Fenwick trees and Knuth's dancing links. The book provides a framework to tackle algorithmic problem solving, including: Definition, Complexity, Applications, Algorithm, Key Information, Implementation, Variants, In Practice, and Problems. Python code included in the book

There are 12 modules in this textbook, including: C programming overview; types, operators and expressions; input and output; decision making; loops; arrays; functions; preprocessors; pointers; struct

A project-based approach to learning Python programming for beginners. Intriguing projects teach you how to tackle challenging problems with code.You've mastered the basics. Now you're ready to explor

Dive Into Algorithms is a broad introduction to algorithms using the Python Programming Language.Dive Into Algorithms is a wide-ranging, Pythonic tour of many of the world's most interesting algorithm

This book illustrates how the blockchain is being sustained through a host of platforms, programming languages, and enabling tools. It details how blockchain is being blended with cloud computin

This book can provide the basics for understanding how swarm intelligence algorithms work, and aid readers in programming these algorithms to solve various computational problems. It is useful for stu

This book takes the reader through the basics of using the R statistical programming environment for data analysis using a series of case studies based around tasks that answer real research questions

This book takes the reader through the basics of using the R statistical programming environment for data analysis using a series of case studies based around tasks that answer real research questions

The theoretical aspects of the book are based on an essential introduction to the building blocks of the two topics under consideration: mathematical programming and stochastic processes. It also 

The theoretical aspects of the book are based on an essential introduction to the building blocks of the two topics under consideration: mathematical programming and stochastic processes. It also 

Yona has been stuck behind a desk for years working as a programming coordinator for Jungle, a travel company specialising in package holidays to destinations ravaged by disaster. When a senior collea

A fully up-to-date companion to the successful A Beginner's Guide to Coding.Ever wondered how to make a computer follow instructions? Then it is time to get coding! Using the free programming language

Networks are everywhere: networks of friends, transportation networks and the Web. Neurons in our brains and proteins within our bodies form networks that determine our intelligence and survival. This modern, accessible textbook introduces the basics of network science for a wide range of job sectors from management to marketing, from biology to engineering, and from neuroscience to the social sciences. Students will develop important, practical skills and learn to write code for using networks in their areas of interest - even as they are just learning to program with Python. Extensive sets of tutorials and homework problems provide plenty of hands-on practice and longer programming tutorials online further enhance students' programming skills. This intuitive and direct approach makes the book ideal for a first course, aimed at a wide audience without a strong background in mathematics or computing but with a desire to learn the fundamentals and applications of network science.

Future robotics engineers will love the mix of non-fiction and activities in this educational book full of BIG ideas. Fun games and puzzles teach boys and girls about robotics, automation, programming

Get ready to code with this easy-to-use series full of projects and tips to get kids programming. Each book in the Ready, Steady Code! series has 4 step-by-step projects with an introduction section (

This book provides a platform to understand Internet of things with Raspberry Pi and the basic knowledge of the programming and interfacing of the devices and designed systems. It broadly covers intro

This textbook is ideal for MATLAB/Introduction to Programming courses in both Engineering and Computer Science departments.Engineering Computation with MATLAB introduces the power of computing to engi

Put on your thinking cap and get inventive! Make a musical instrument from glass bottles, use a drop of water to create a microscope, develop your own computer programming language, and more! Filled w

Learn to converse with technology while having fun with this coding game-book, where you will learn the basic concepts of programming, using logic and creativity without sacrificing fun!

Discover how to converse with technology while having fun with this coding game-book, in which you will learn the basic concepts of programming using logic and creativity without sacrificing fun! Figh

A comprehensive survey of artificial intelligence algorithms and programming organization for robot systems, combining theoretical rigor and practical applications.This textbook offers a comprehensive

Ready to learn how to code a game? Get an introduction to programming with this fun and accessible guide. Learn HTML and JavaScript. Design and build five interactive computer games. Create cool graph

Ready to learn how to code a game? Get an introduction to programming with this fun and accessible guide. Learn HTML and JavaScript. Design and build five interactive computer games. Create cool graph

Kids will easily learn to code games and projects using Scratch 3.0 with this coding workbook, perfect for school projects or just for fun.Download Scratch, a simple and free programming language, and

Programming concepts come to life in this kid-friendly intro to the basics of computer science and coding, with puzzles, games, and quirky characters.Welcome to the Coder Crew, where you're on a missi

In The 7Cs of Coaching, Bruce Grimley expertly explains neuro-linguistic programming (NLP) to the advanced coach and counsellor by asking a simple question: 'What is NLP?'. Inviting us on his personal

Build your own computer games with Scratch 3!Learn how to make fun games with Scratch—a free, beginner-friendly programming language from the MIT Media Lab. Create mazes, road-crossing games, and two-

This simple visual guide to building computer games with the Scratch programming language makes coding a doddle for kids - and is fully updated now that Scratch 3.0 has landed!Just follow the numbered

Integer linear programming (ILP) is a versatile modeling and optimization technique that is increasingly used in non-traditional ways in biology, with the potential to transform biological computation. However, few biologists know about it. This how-to and why-do text introduces ILP through the lens of computational and systems biology. It uses in-depth examples from genomics, phylogenetics, RNA, protein folding, network analysis, cancer, ecology, co-evolution, DNA sequencing, sequence analysis, pedigree and sibling inference, haplotyping, and more, to establish the power of ILP. This book aims to teach the logic of modeling and solving problems with ILP, and to teach the practical 'work flow' involved in using ILP in biology. Written for a wide audience, with no biological or computational prerequisites, this book is appropriate for entry-level and advanced courses aimed at biological and computational students, and as a source for specialists. Numerous exercises and accompanying soft

Natasha Romanoff was trained to kill. For years now she's tried to overcome that programming, to side with the angels...to be a hero. And where'd that get her? Killed. By one of the few true friends s

Learn to think like a coder without a computer! Each of the fun craft activities included in this book will teach you about a key concept of computer programming and can be done completely offline. Th

Learn to think like a coder without a computer! Each of the fun craft activities included in this book will teach you about a key concept of computer programming and can be done completely offline. Th

At the end of the twentieth century, academics and policymakers welcomed a trend toward fiscal and political decentralization as part of a potential solution for slow economic growth and poor performance by insulated, unaccountable governments. For the last two decades, researchers have been trying to answer a series of vexing questions about the political economy of multi-layered governance. Much of the best recent research on decentralization has come from close collaborations between university researchers and international aid institutions. As the volume and quality of this collaborative research have increased in recent decades, the time has come to review the lessons from this literature and apply them to debates about future programming. In this volume, the contributors place this research in the broader history of engagement between aid institutions and academics, particularly in the area of decentralized governance, and outline the challenges and opportunities to link evidence