Название: Ultimate Node.js for Cross-Platform App Development: Learn to Build Robust, Scalable, and Performant Server-Side jаvascript Applications with Node.js
Автор: Ramesh Kumar
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 440
Язык: английский
Формат: True/Retail PDF, True/Retail EPUB
Размер: 43.2 MB

Unleash the Power of Node.js for Building Enterprise-Grade, Scalable Server-Side Applications. Unlock the full potential of Node.js for modern web development with this comprehensive handbook to developing applications and services. The book will cover the fundamentals to advanced techniques, and explore the intricacies of building powerful applications. You will master Express server creation, develop RESTful APIs with efficient routing, and dive into MongoDB for seamless data persistence. It will uncover the nuances of template engines, middleware, and robust authentication methods. Leverage Socket.IO for real-time capabilities and adeptly handle errors with effective logging. The projects will double as versatile boilerplates for kickstarting your own development endeavors. In the later chapter, you will learn Test-Driven Development with Mocha, gain insights into debugging, and perfect the art of building and deploying Node.js applications.

Название: Hands-On Python INTERMEDIATE: with 50 Exercises, 2 Projects, 2 Assignments & Final Exam
Автор: Musa Arda
Издательство: Independently published
Год: 13 December 2021
Серия: Hands-On Python
Страниц: 603
Язык: английский
Формат: azw3, epub
Размер: 13.7 MB

This book is an in-depth and activity-based introduction to the intermediate level topics of Python programming. It follows a step-by-step practical approach by combining the theory of the language with hands-on coding exercises including quizzes, projects, assignments and exams. We begin by setting up the development environment, the PyCharm IDE. Then we cover Exception Handling, Modules & Packages, Format Operations and File Operations in Python. Further we cover one of the most important topics in computer programming which is Object Oriented Programming (OOP). We build two real-world projects that are PDF & CSV Operations and Movie Library with Tkinter. After each project there will be an assignment. And finally we have the Final Exam, which will let you to test your Python level. By the end of the book, you will learn almost all of the intermediate concepts of Python in great detail by writing thousands of lines of code. All the supplementary resources (code files, quizzes, assignments, final exam etc.) are available for download at the Github repository. The link for the repository is provided in the book.

Название: The AI-Enabled SDLC: A Tech Leader’s Guide to Navigating the Future of Software Development
Автор: Brent Laster, Eran Yahav
Издательство: O’Reilly Media, Inc.
Год: 2025-05-23
Страниц: 114
Язык: английский
Формат: epub
Размер: 10.1 MB

Like CI/CD, vulnerability remediation, and cloud adoption before it, the use of Generative AI (GenAI) is no longer a research project or recommended practice. It's a necessity and a competitive advantage. GenAI has the potential to help your engineering team create and deliver more efficiently and smoothly, with higher quality and less cognitive load, than ever before. But in order to realize these potential benefits, tech leaders need to know how to apply it effectively throughout the phases of your Software Development Life Cycle (SDLC). The Software Development Life Cycle is the cost-effective and time-efficient process that development teams use to design and build high-quality software. The goal of SDLC is to minimize project risks through forward planning so that software meets customer expectations during production and beyond. This methodology outlines a series of steps that divide the software development process into tasks you can assign, complete, and measure. The primary audience for this book is the engineering team lead, driving software production, who wants to understand how to incorporate GenAI tooling effectively and efficiently in their SDLC.

Название: Visualizing Generative AI: How AI Paints, Writes, and Assists (Early Release)
Автор: Priyanka Vergadia, Valliappa Lakshmanan
Издательство: O’Reilly Media, Inc.
Год: 2025-06-04
Страниц: 120
Язык: английский
Формат: epub
Размер: 10.1 MB

Generative AI has the potential to innovate and evolve business processes, but workers are still figuring out how to build with, optimize, and prompt GenAI tools to fit their needs. And of course, there are pitfalls to avoid, like security risks and hallucinations. Getting it right requires an intuitive understanding of the technology's capabilities and limitations. This approachable guidebook helps learners of all levels navigate GenAI—and have fun while doing it. Generative AI, a subset of Artificial Intelligence, has taken the world by storm. Unlike traditional AI, which analyzes and interprets data, Generative AI creates something completely new, such as text, images, or music. Its rapid adoption, impressive capabilities, and potential for revolutionizing industries have made it a hot topic of discussion. While each of the four providers above has a Python API, the APIs are all slightly different. To make it convenient to try out all four (and avoid getting locked into any one), we’ll use the Python package LangChain in this section.

Название: Angular 19 Advanced Tricks: Master High-Performance, Scalable & Secure Web Apps
Автор: Developer Gagan
Издательство: Independently published
Год: 2025
Страниц: 156
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Unlock the full potential of Angular 19 with this ultimate guide to advanced techniques and best practices! Angular is one of the most popular frameworks for building dynamic web applications. It provides a robust structure for developing scalable and maintainable applications. While the basics of Angular cover components, services, and routing, mastering advanced techniques can significantly improve the performance and efficiency of your applications. In the Chapter 1, we will explore the key concepts that differentiate basic Angular development from advanced techniques. By the end of this chapter, you will have a clear understanding of the advanced topics that will be covered in this book and how they can help you develop better Angular applications. Whether you're a seasoned Angular developer or looking to level up your skills, Angular 19 Advanced Tricks provides everything you need to build modern, scalable, and high-performance web applications. With easy-to-understand language and real-world examples, this book is perfect for developers who want to go beyond the basics and build production-grade Angular apps like a pro.

Название: 10 Rules for Impossible Projects: Surprising – But True – Advice on How to Successfully Deliver Difficult and Complex Projects
Автор: Marcin Dąbrowski
Издательство: Apress
Год: 2025
Страниц: 209
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

This book is a collection of key principles that should be used to "deliver" difficult and unrealistic projects. These principles are independent of the chosen project management methodology - they remain complementary to them and help to successfully complete even those projects that seem unrealistic: in terms of time, scope, finances and other aspects. These holistic rules cover broad aspects from management, negotiation, psychology and business. It’s full of real life examples of various international projects which were both successful or failed. The book shows that beyond certifications, methodologies, and manuals, project management professionals need to learn how to face crisis situations, changing scopes and toxic work environments and then successfully deliver a project. For Project Managers, Team Leaders, Unit Managers, IT managers, IT directors, CIOs.

Название: Designing for Human Intelligence in an Artificial Intelligence World: Understanding Human Cognition to Design for Humans
Автор: Jerome L. Rekart, Rebecca Baker
Издательство: Apress
Год: 2025
Страниц: 368
Язык: английский
Формат: pdf
Размер: 10.1 MB

How we think and react has a direct impact on experience design, but often designers don't understand the "whys" behind their best practices, leaving them at risk for misusing or underutilizing those designs. Similarly, psychologists/neuroscientists don't understand the design decisions that their science is informing and how they might be leveraged further. This book explores how neuroscience and cognitive psychology inform experience design, within the modern context of research and technological advances. With a conversational and playful tone, this book begins by grounding you in research and AI. That foundation then allows you to expand your repertoire through chapters on design-relevant cognitive phenomena such as memory, learning, and perception. With the widespread availability of Generative AI tools, understanding the intersection of human cognition and design and how that knowledge can be used to build a bridge between the brain and the software has become even more critical.

Название: The Shallow and the Deep: A biased introduction to neural networks and old school Machine Learning
Автор: Michael Biehl
Издательство: University of Groningen Press
Год: 2023
Страниц: 294
Язык: английский
Формат: pdf (true)
Размер: 10.6 MB

The Shallow and the Deep is a collection of lecture notes that offers an accessible introduction to neural networks and Machine Learning in general. However, it was clear from the beginning that these notes would not be able to cover this rapidly changing and growing field in its entirety. The focus lies on classical Machine Learning techniques, with a bias towards classification and regression. Other learning paradigms and many recent developments in, for instance, Deep Learning are not addressed or only briefly touched upon. Biehl argues that having a solid knowledge of the foundations of the field is essential, especially for anyone who wants to explore the world of Machine Learning with an ambition that goes beyond the application of some software package to some data set. Therefore, The Shallow and the Deep places emphasis on fundamental concepts and theoretical background. This also involves delving into the history and pre-history of neural networks, where the foundations for most of the recent developments were laid. These notes aim to demystify Machine Learning and neural networks without losing the appreciation for their impressive power and versatility.

Название: HPC Carpentry: Volume 4 / Tutorials for High Performance Scientific Computing: The Art of HPC, Volume 4
Автор: Victor Eijkhout
Издательство: Independently published
Серия: The Art of High Performance Computing
Год: March 28, 2024
Страниц: 237
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

The ecosystem of scientific computing involves much more than just a programming language and a parallel programming system: you need to understand about compilers, build systems, source code control, and a lot more. This book does not aim to be a compendium of all of these, but rather a set of introductions, biased to scientific workflows. Software Carpentry refers to the vaguely defined set of skills that make a programmer more productive. This volume on “HPC Carpentry” teaches skills that are geared towards HPC practice: Unix, Compilers and libraries, Make and Cmake, Git, Source code control, Scientific data management and I/O, LaTeX, Debugging, Profiling and Tracing.

Название: Julia Data Science
Автор: Jose Storopoli, Rik Huijzer, Lazaro Alonso
Издательство: Independently published
Год: 2025-06-01
Страниц: 260
Язык: английский
Формат: pdf
Размер: 19.5 MB

This book describes the basics of the Julia programming language DataFrames.jl for data manipulation and Makie.jl for data visualization. Why should you dedicate your precious time into learning a language that is almost never mentioned in any job listing, lab position, postdoc offer, or academic job description? The answer is that Julia is a fresh approach to both programming and Data Science. Everything that you do in Python or in R, you can do it in Julia with the advantage of being able to write readable, fast, and powerful code. Therefore, the Julia language is gaining traction, and for good reasons. So, if you don’t have any programming background knowledge, we highly encourage you to take up Julia as a first programming language and Data Science framework.