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Simpson A: Python Automation For Dummies

Python Automation For Dummies

A Hands-on Approach

Programming Massively Parallel Processors

This book illustrates statistics with the R programming language, an emerging tool in data science. Filled with techniques for data science and analytics programming, the book is written for students and professionals. It is focused on learning outcomes and problem solving.

This book illustrates statistics with the R programming language, an emerging tool in data science. Filled with techniques for data science and analytics programming, the book is written for students and professionals. It is focused on learning outcomes and problem solving.

Demystifying Probability and Statistics for Data Scientists with R

Machine Learning For Dummies

To write effective code and applications, software engineers and developers have to be able to frame user/customer needs effectively, capture program requirements and use cases, and then develop suitable software architecture and code to meet the need. Code Chronicles: The Art of Storytelling in Software helps readers write better software by teaching readers how to write stories in the context of software development. The book explains the roots of storytelling, clarifies that storytelling historically has been a very powerful tool used to pass along knowledge, presents where storytelling is already present implicitly in software development, discusses how to make it more effective, and finally present experiences in storytelling from software engineering and other scientific disciplines, to foster a full understanding of its power. The authors comprehensively present the pivotal role of storytelling in writing software, and they explain how to do it in a simple, hands-on approach, also taking advantage of clear case studies written by experts in the field.

The Art of Storytelling in Software

Code Chronicles

Modern Computational Approaches to Hijri Calendar, Qibla, and Prayer Times

Python for Islamic Astronomy

The Rust Programming Language, 3rd Edition

Chapman & Hall/CRC Computational Science

This book is a well-recognized and leading guidebook on High Performance Computing for a broad audience of readers from industry and academia. The new edition is completely reorganized and updated to include the latest research in HPC. A new introductory chapter and a new chapter on accelerated computing have been added to the book to keep pace with recent advances.

This book is a well-recognized and leading guidebook on High Performance Computing for a broad audience of readers from industry and academia. The new edition is completely reorganized and updated to include the latest research in HPC. A new introductory chapter and a new chapter on accelerated computing have been added to the book to keep pace with recent advances.

Introduction to High Performance Computing for Scientists and Engineers, Second Edition

"Think you know JavaScript? Think again. This isn't your typical coding book--it's a deep dive into the powerful world of data structures and algorithms that will transform the way you approach problem solving in JavaScript. Whether you're a front-end developer tackling complex applications, a back-end engineer building scalable systems, or a programmer preparing for technical interviews, this book will revolutionize the way you code."--

Not the Same Old JavaScript. Think you know JavaScript? Think again. This isn’t your typical coding book—it’s a deep dive into the powerful world of data structures and algorithms that will transform the way you approach problem solving in JavaScript. Whether you’re a frontend developer tackling complex applications, a backend engineer building scalable systems, or a programmer preparing for technical interviews, this book will revolutionize the way you code.&nbsp; Key features include: <ul><li>Modern JavaScript techniques: Use the latest language features and functional programming principles for cleaner, more efficient code.</li><li>Performance-focused approach: Analyze and optimize algorithms using Big O notation.</li><li>Essential algorithms explained: Implement and fine-tune core algorithms like quicksort, merge sort, digital search, and binary search.</li><li>Algorithm design strategies: Solve challenging problems with techniques like recursion, dynamic programming, backtracking, and brute-force search.</li><li>Advanced data structures: Explore complex structures such as binary search trees, heaps, and graphs. </li></ul> Each chapter is carefully crafted with clear, no-nonsense explanations of complex concepts, real-world coding examples, and challenging questions (with answers at the end) to reinforce your understanding. Ready to break free from ordinary JavaScript? Whether your aim is to build cutting-edge web applications, optimize critical systems, or land your dream job, this book equips you with the advanced JavaScript knowledge that sets true experts apart.

Data Structures and Algorithms in JavaScript

Applications in R and Python

Essentials of Big Data Analytics

Embedded Systems in Automotive Applications

"Covers Kotlin basics and the JavaFX library. Features over 30 math, science, and algorithmic projects, such as how to model the motion of a pendulum, simulate the orbits of a binary star system, render the Mandelbrot set, and implement nature-inspired algorithms. Also covers randomness, recursion, sorting and searching, and optimization"--

Learn Kotlin Through 37 Projects Kotlin isn’t just for building Android apps. As you’ll learn in Kotlin from Scratch, it’s also a general programming language for crafting both elegant and efficient code. With the aid of 37 hands-on projects, you’ll move quickly through the language basics while building your problem-solving skills, even tackling advanced concepts like fractals, dynamic systems, and nature-inspired algorithms. You’ll explore the way Kotlin handles variables, control structures, functions, classes, and data structures, and you’ll learn to create visualizations using Kotlin and the JavaFX graphics library. Then you’ll build increasingly sophisticated apps to practice what you’ve learned while tackling challenges from math and science to algorithms and optimization. As you progress through the book, you will: <ul><li>Simulate physical systems, like the intricate dance of binary stars</li><li>Implement the classic Hill cipher for encryption and decryption&nbsp;</li><li>Generate beautiful fractals with recursive algorithms&nbsp;</li><li>Program classic computer science algorithms for sorting and searching</li><li>Solve the infamous Berlin52 traveling salesman problem&nbsp;</li></ul> Expand your language repertoire and improve your computational thinking with Kotlin from Scratch.

A Project-Based Introduction for the Intrepid Programmer

Kotlin from Scratch

Tech Today

Explore the modern Java development landscape with this expert guide In Real-World Java: Navigating the Java Ecosystem, a pair of seasoned Java developers delivers a concise handbook for mastering the essential tools and frameworks prevalent in today's commercial Java enterprises. Dive into a comprehensive exploration of Spring, logging, IDEs, build tools, testing tools, and other key concepts in the Java ecosystem. With just the right blend of explanation and practical examples, this book equips you with the expertise needed to thrive in enterprise Java development. <ul> <li>Familiarize yourself with technologies like Spring, Open Telemetry, Git, and Project Lombok</li> <li>Access tested and downloadable code examples to reinforce your learning journey</li> <li>Discover how to tune your software's performance and automate your CI/CD builds</li> </ul> Whether you're looking to enhance your proficiency or broaden your horizons in Java development, Real-World Java is your go-to companion. Perfect for developers already somewhat familiar with the language, this book offers insights and strategies to navigate the complexities of contemporary Java software development.

Helping You Navigate the Java Ecosystem

Real-World Java

Python Automation For Dummies

Bibliografische Angaben

Schlagworte

Bibliografische Angaben

Schlagworte

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