Название: Building Green Software: A Sustainable Approach to Software Development and Operations
Автор: Anne Currie, Sarah Hsu, Sara Bergman
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 357
Язык: английский
Формат: pdf, epub (true)
Размер: 10.1 MB

How will software development and operations have to change to meet the sustainability and green needs of the planet? And what does that imply for development organizations? In this eye-opening book, sustainable software advocates Anne Currie, Sarah Hsu, and Sara Bergman provide a unique overview of this topic—discussing everything from the likely evolution of national grids to the effect those changes will have on the day-to-day lives of developers. Ideal for everyone from new developers to CTOs, Building Green Software tackles the challenges involved and shows you how to build, host, and operate code in a way that's not only better for the planet but also cheaper and relatively low-risk for your business. The problem with code efficiency is that although cutting CPU/GPU use can potentially have a huge impact on carbon emissions and is well understood—the same techniques have been used for many decades in high-performance computing (HPC)—it is high effort for engineers. You might get a hundredfold reduction in carbon emissions by switching, for example, from Python to a much more efficient language like Rust, but there will be a price to pay in productivity. Developers really do deliver much more quickly when they are using lower machine-efficiency languages like Python.

Название: Graph Data Science with Python and Neo4j: Hands-on Projects on Python and Neo4j Integration for Data Visualization and Analysis Using Graph Data Science for Building Enterprise Strategies
Автор: Timothy Eastridge
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 204
Язык: английский
Формат: pdf, epub (true)
Размер: 10.1 MB

Graph Data Science with Python and Neo4j is your ultimate guide to unleashing the potential of graph Data Science by blending Python's robust capabilities with Neo4j's innovative graph database technology. From fundamental concepts to advanced analytics and machine learning techniques, you'll learn how to leverage interconnected data to drive actionable insights. Beyond theory, this book focuses on practical application, providing you with the hands-on skills needed to tackle real-world challenges. Python and Neo4j are both terrific tools for graph data science. Each offers powerful tools and frameworks to analyze interconnected data. In theory, it is possible to implement end-to-end graph data science with either Python or Neo4j individually. However, in practice, it is much simpler to leverage both tools together to maximize the value of each tool. Python has become one of the most popular programming languages in the data science community due to its rich ecosystem of libraries and packages, allowing all users to leverage the incredible work of others and jumpstart their analysis. Python comes with several integrated development environments (IDEs) that facilitate code visualization, allowing users not only to view and debug their code but also to create graphs, charts, and various other visual representations of data.

Название: 80+ Python Coding Challenges for Beginners: Python Exercises to Make You a Better Programmer. No Prior Experience Needed: 80+ Python Challenges to Launch Your Coding Journey
Автор: Katie Millie
Издательство: Independently published
Серия: Python Trailblazer’s Bible
Год: 2024
Страниц: 152
Язык: английский
Формат: pdf
Размер: 12.7 MB

Conquer the Python Challenge: 80+ Exercises to Unleash Your Programming Superpowers. Do you dream of becoming a Python coding wizard? Are you tired of tutorials that leave you feeling lost in a sea of theory? 80+ Python Coding Challenges for Beginners is your ultimate training ground, designed to transform you from a curious novice into a confident Python pro. Forget dry lectures and endless syntax explanations. This book is your action-packed adventure into the thrilling world of Python programming. Through a meticulously curated selection of 80+ coding challenges, you'll: Master the Fundamentals: Solidify your grasp of core Python concepts like variables, data types, operators, control flow, functions, and more. Each challenge builds upon the previous one, ensuring a smooth and steady learning curve. Level Up Your Skills: Conquer progressively challenging problems that push your boundaries and refine your problem-solving prowess. From basic calculations to string manipulation and working with lists, you'll tackle diverse tasks that will prepare you for real-world coding scenarios. Whether you're a complete beginner or have a basic understanding of Python, this book is your launchpad to coding mastery. With each challenge conquered, you'll gain the confidence, knowledge, and practical skills to tackle any Python programming task that comes your way.

Название: Research Software Engineering: A Guide to the Open Source Ecosystem
Автор: Matthias Bannert
Издательство: CRC Press
Серия: Data Science Series
Год: 2024
Страниц: 201
Язык: английский
Формат: pdf (true)
Размер: 14.0 MB

Research Software Engineering: A Guide to the Open Source Ecosystem strives to give a big-picture overview and an understanding of the opportunities of programming as an approach to analytics and statistics. The book argues that a solid "programming" skill level is not only well within reach for many but also worth pursuing for researchers and business analysts. The ability to write a program leverages field-specific expertise and fosters interdisciplinary collaboration as source code continues to become an important communication channel. Given the pace of the development in data science, many senior researchers and mentors, alongside non-computer science curricula lack a basic software engineering component. This book fills the gap by providing a dedicated programming-with-data resource to both academic scholars and practitioners. Even though Research Software Engineering aims to be inclusive and open to a broad audience with different starting points, several prerequisites exist to get the most out of this book. I recommend you have made your first experience with an interpreted programming language like R or Python.

Название: Android Development with Kotlin: Crafting Dynamic Mobile Experiences
Автор: Theophilus Edet
Издательство: CompreQuest Books
Серия: Mobile App Development
Год: 2024
Страниц: 267
Язык: английский
Формат: pdf
Размер: 31.1 MB

Mastering Android Development: Crafting Memorable Mobile Experiences. Are you ready to unlock the secrets of crafting dynamic and captivating mobile experiences on the Android platform? Look no further than "Android Development with Kotlin: Crafting Dynamic Mobile Experiences." This comprehensive guide will revolutionize your approach to Android development, empowering you to create apps that stand out in today's competitive market. Sparking Curiosity: Engaging Mobile App Development Strategies. In this book, you'll embark on a journey into the world of Android development with Kotlin, the modern programming language that's taking the industry by storm. Whether you're a seasoned developer or a newcomer to mobile app development, you'll find valuable insights and practical techniques to elevate your skills and build exceptional apps. Discover the power of Kotlin as you delve into essential concepts such as activity lifecycle management, UI design principles, and navigation patterns. With clear explanations and hands-on examples, you'll learn how to harness Kotlin's expressive syntax and advanced features to streamline your development workflow and write clean, maintainable code.

Название: Learn Scala: Learn Scala latest version
Автор: A. De Quattro
Издательство: Independently published
Год: 2024
Страниц: 120
Язык: английский
Формат: pdf
Размер: 15.2 MB

Discover the potential of programming with the "Learn Scala" manual. Learn to create effective and efficient code using one of the most powerful and versatile programming languages. With practical examples and clear explanations, this guide will guide you step by step into the world of Scala programming. Programming with Scala is a fascinating topic that has attracted the interest of many developers in recent years. Scala is a multi-paradigm programming language that combines functional and object-oriented features, offering developers the flexibility needed to tackle a wide range of programming problems. In this introduction to programming with Scala, we will explore the key features and concepts of this language, providing a comprehensive overview of its capabilities and potential. Scala is a language suitable for both beginners, thanks to its intuitive syntax that is easy to learn, and for experts, who can leverage its advanced features to write more efficient and maintainable code. Scala is a powerful and flexible programming language that offers developers a wide range of tools and features to tackle various programming problems. With its intuitive syntax, interoperability with Java, strong static typing, and powerful API for concurrency, Scala is an ideal choice for those seeking a modern and efficient programming language.

Название: Mobile App Development: Strategies and Tools for Creating Impactful Mobile Solutions
Автор: Theophilus Edet
Издательство: CompreQuest Books
Серия: Mobile App Development
Год: 2024
Страниц: 302
Язык: английский
Формат: pdf
Размер: 32.9 MB

Your roadmap to mobile app success starts here—don't miss out. In the ever-evolving world of mobile technology, mastering the art of mobile app development is crucial for those looking to make a mark in the digital landscape. "Mobile App Development: Strategies and Tools for Creating Impactful Mobile Solutions" offers a comprehensive guide to navigating the complexities of app creation, making it essential reading for aspiring developers and seasoned professionals alike. Explore cutting-edge strategies and tools for impactful app development. With smartphones becoming an integral part of daily life for billions of people worldwide, the demand for innovative and impactful mobile solutions has never been higher. This book delves deep into the strategies and tools necessary to create mobile apps that not only meet user needs but also leave a lasting impression. From conceptualization to deployment, each chapter is filled with practical advice, real-world examples, and actionable techniques to help readers navigate every step of the development journey with confidence and precision.

Название: Python Desktop App Development with GUI: GUI Development Made Easy with Python! Build Feature-Rich Desktop Applications with Python. Transform Python Code into Real-World Applications
Автор: Katie Millie
Издательство: Independently published
Серия: Python Trailblazer’s Bible
Год: 2024
Страниц: 275
Язык: английский
Формат: pdf
Размер: 26.8 MB

Unleash Your Desktop Dreams: Build Stunning and Interactive Apps with Python Desktop App Development with GUI. Imagine crafting user-friendly desktop applications that not only solve problems but also captivate users. Stop dreaming and start creating with Python Desktop App Development with GUI! This comprehensive guide empowers you to transform Python code into visually stunning and intuitively designed desktop applications. Forget complex development environments and intimidating languages. Python's clean syntax and beginner-friendly nature make it the perfect platform for anyone to dive into GUI (Graphical User Interface) development. Even with no prior GUI programming experience, this book equips you with the knowledge and tools to build Python GUI applications. Transforming Ideas into Reality: Learn how to translate your concepts into user-centric desktop applications. Building User-Friendly Experiences: Discover best practices for crafting intuitive interfaces that are easy to navigate and understand. Troubleshooting with Confidence: Equip yourself with the skills to identify and fix common GUI development challenges. Whether you're a seasoned Python developer seeking to expand your skillset or a complete beginner eager to build interactive applications, this book is your key to success.

Название: Effective Machine Learning Teams: Best Practices for Ml Practitioners (Final)
Автор: David Tan, Ada Leung, David Colls
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 402
Язык: английский
Формат: pdf (true), epub (true)
Размер: 15.1 MB, 10.1 MB

Gain the valuable skills and techniques you need to accelerate the delivery of machine learning solutions. With this practical guide, data scientists, ML engineers, and their leaders will learn how to bridge the gap between data science and Lean product delivery in a practical and simple way. David Tan, Ada Leung, and Dave Colls show you how to apply time-tested software engineering skills and Lean product delivery practices to reduce toil and waste, shorten feedback loops, and improve your team's flow when building ML systems and products. Based on the authors' experience across multiple real-world data and ML projects, the proven techniques in this book will help your team avoid common traps in the ML world, so you can iterate and scale more quickly and reliably. You'll learn how to overcome friction and experience flow when delivering ML solutions.

Название: Scalable AI and Design Patterns: Design, Develop, and Deploy Scalable AI Solutions
Автор: Abhishek Mishra
Издательство: Apress
Год: 2024
Страниц: 268
Язык: английский
Формат: pdf, epub
Размер: 27.0 MB

Understand and apply the design patterns outlined in this book to design, develop, and deploy scalable AI solutions that meet your organization's needs and drive innovation in the era of intelligent automation. This book begins with an overview of scalable AI systems and the importance of design patterns in creating robust intelligent solutions. It covers fundamental concepts and techniques for achieving scalability in AI systems, including data engineering practices and strategies. The book also addresses scalable algorithms, models, infrastructure, and architecture considerations. Additionally, it discusses deployment, productionization, real-time and streaming data, edge computing, governance, and ethics in scalable AI. Real-world case studies and best practices are presented, along with insights into future trends and emerging technologies. The book focuses on scalable AI and design patterns, providing an understanding of the challenges involved in developing AI systems that can handle large amounts of data, complex algorithms, and real-time processing.