Название: 50 TypeScript F*ck Ups: 50 Subtle Mistakes to Screw Your Code and How to Avoid and Fix Them to Write Extraordinary Software for Web
Автор: Azat Mardan
Издательство: Leanpub
Год: 2024-07-13
Страниц: 216
Язык: английский
Формат: pdf (true), epub
Размер: 10.2 MB

50 TypeScript F*ck Ups (Mistakes) and How to Avoid Them is a collection of common and challenging trouble spots that trip up JS and TypeScript developers, along with tips on how to recognize and resolve them. You’ll find troubleshooting tips on everything from basic mistakes like ignoring compiler warnings, to advanced patterns and tips for using jаvascript and TypeScript with your favorite libraries and frameworks. Throughout, each mistake and fix is illustrated with bite-sized examples, and easy-to-read code samples. You’ll soon be writing quality code faster than ever before! Insider knowledge on recognizing common bugs, errors, and pitfalls in the TypeScript code. The best mistakes are the ones you avoid in the first place. 50 TypeScript F*ck Ups makes it easy to identify errors before you even make them! It’s packed with over a hundred anti-patterns, common slip-ups, and complex technical points that can trip up even the most experienced jаvascript or TypeScript developer.

Название: Create Game with Projects in Python: Create a Game, Programming in Python, and Working with Popular Apps Using PyGame
Автор: Jeffrey Leon Stroup, Stephen G Schmitt
Издательство: Independently published
Год: September 15, 2024
Страниц: 206
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Python is of the most popular and versatile programming languages in the tech industry. However, despite their popularity and versatility, mastering them can be challenging, especially for beginners. Technical challenges such as debugging and tight deadlines can cause stress and anxiety, and career advancement and staying up to date with the latest developments in the field can be daunting. This Book Is Perfect For: - Total beginners with zero programming experience; - Returning professionals who haven’t written code in years; - Seasoned professionals looking for a fast, simple, crash course in Python.

Название: A Guide to Implementing MLOps: From Data to Operations
Автор: Prafful Mishra
Издательство: Springer
Год: 2025
Страниц: 144
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Over the past decade, Machine Learning has come a long way, with organisations of all sizes exploring its potential to extract valuable insights from data. However, despite the promise of Machine Learning, many organisations need help deploying and managing Machine Learning models in production. This is where MLOps comes in. MLOps, or Machine Learning Operations, is an emerging field that focuses on the deployment, management, and monitoring of Machine Learning models in production environments. MLOps combines the principles of DevOps with the unique requirements of Machine Learning, enabling organisations to build and deploy models at scale while maintaining high levels of reliability and accuracy. This book is a comprehensive guide to MLOps, providing readers with a deep understanding of the principles, best practices, and emerging trends in the field. From training models to deploying them in production, the book covers all aspects of the MLOps process, providing readers with the knowledge and tools they need to implement MLOps in their organisations. As most of the ML work is done in Python today (thanks to NumPy and Scikit-learn) even though rust is catching up pretty fast, the packaging of the code is very important, as it can enable one to unlimited possibilities.

Название: Artificial Intelligence, Optimization, and Data Sciences in Sports
Автор: Maude J. Blondin, Iztok Fister Jr., Panos M. Pardalos
Издательство: Springer
Год: 2025
Страниц: 358
Язык: английский
Формат: pdf (true), epub
Размер: 39.1 MB

This book delves into the dynamic intersection of Data Sciences, data mining, Machine Learning, and optimization within sports. It compiles and presents the latest achievements in this vibrant and emerging research area, offering a comprehensive overview of how these technologies revolutionize sports analytics and performance. Topical coverage includes Artificial Intelligence (AI) in sports, automated Machine Learning for training sessions, computational social science, and Deep Learning applications. Readers will also explore cutting-edge concepts such as digital twins in sports and sports prediction through data analysis. This volume highlights theoretical advancements and practical case studies that demonstrate real-world applications. Ideal for researchers, practitioners, and students in fields related to sports science, Data Sciences, data analytics, and Machine Learning, this book serves as a crucial resource for anyone looking to understand the transformative impact of technology on sports.

Название: Pipeline for Automated Code Generation from Backlog Items (PACGBI): Analysis of Potentials and Limitations of Generative AI for Web Development
Автор: Mahja Sarschar
Издательство: Springer
Год: 2025
Страниц: 126
Язык: английский
Формат: pdf (true), epub
Размер: 18.0 MB

This book investigates the potential and limitations of using Generative AI (GenAI) in terms of quality and capability in agile web development projects using React. For this purpose, the Pipeline for Automated Code Generation from Backlog Items (PACGBI) was implemented and used in a case study to analyse the AI-generated code with a mix-method approach. The findings demonstrated the ability of GenAI to rapidly generate syntactically correct and functional code with Zero-Shot prompting. The PACGBI showcases the potential for GenAI to automate the development process, especially for tasks with low complexity. However, this research also identified challenges with code formatting, maintainability, and user interface implementation, attributed to the lack of detailed functional descriptions of the task and the appearance of hallucinations. Further, the findings provide valuable insights for practitioners considering GenAI integration into their development processes and set a foundation for future research in this field. The results regarding the quality and capability of AI-generated code, along with their practical implications, aim to aid practitioners in the decision-making process of adapting GenAI into their software development life cycle and further provide reference points for future research.

Название: A Concise Introduction to Software Engineering: With Open Source and GenAI 2nd Edition
Автор: Pankaj Jalote
Издательство: Springer
Серия: Undergraduate Topics in Computer Science
Год: 2025
Страниц: 233
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Software engineering has changed: A software project today is likely to use large language models (LLMs) for some tasks and will employ some open-source software. It is therefore important to integrate open source and use of LLMs in teaching software engineering – a key goal of this textbook. This reader-friendly textbook/reference introduces a carefully curated set of concepts and practices essential for key tasks in software projects. It begins with a chapter covering industry-standard software, open-source tools, and the basics of prompt engineering for LLMs. The second chapter delves into project management, including development process models, planning, and team-working. Subsequent chapters focus on requirements analysis and specification, architecture design, software design, coding, testing, and application deployment. Each chapter presents concepts, practical methods, examples, the application of LLMs, and the role of open-source software. The book is primarily intended for an introductory course on Software Engineering in any undergraduate or graduate program.

Название: Machine Learning with Python: A Comprehensive Guide To Algorithms, Deep Learning Techniques, And Practical Applications
Автор: Code Planet
Издательство: Code Planet
Год: 2025
Страниц: 270
Язык: английский
Формат: epub
Размер: 16.0 MB

Machine Learning with Python in this all-in-one guide designed for beginners and experienced developers alike! Whether you're diving into supervised and unsupervised learning, exploring neural networks, or mastering real-world applications, this book provides step-by-step explanations, hands-on examples, and expert insights. Machine Learning (ML) is a subset of Artificial Intelligence (AI) that focuses on the development of algorithms and statistical models enabling computers to learn from and make decisions or predictions based on data. Rather than being explicitly programmed to perform a specific task, ML algorithms identify patterns, learn from observations, and improve their performance over time. In simpler terms, Machine Learning allows systems to evolve and adapt to new scenarios without human intervention by learning from past data. This self-improvement capability has made Machine Learning a powerful tool for solving complex problems across various domains. Python's ecosystem includes several powerful libraries that form the foundation for Machine Learning. Here, we introduce four essential libraries: NumPy, Pandas, Matplotlib, and Scikit-learn.

Название: Strategic Software Quality Management: How to Incorporate Sustainable Continuous Improvement Practices
Автор: Mahsa Fidanboy, Cemalettin Öcal Fidanboy
Издательство: Routledge
Год: 2025
Страниц: 125
Язык: английский
Формат: pdf (true), epub
Размер: 13.2 MB

This book introduces strategic management tools and techniques appropriate for use in software quality management. There has been a gap between strategic management and software quality, and the solutions for solving the problems and improving the software quality usually come from the experience of IT experts: the managerial experience. This book helps people interested in software quality to go beyond the IT technical issues and integrate strategic management tools with their technical knowledge to become more prepared for the future, develop long-term plans for solutions and improvements, take more strategic decisions even when compared with the competitors, and finally, reach sustainable continuous improvements. This book, by bridging software quality management and strategic management, can be used by software quality practitioners for effective results. The software development process is usually studied with regards to its functional aspects and the attempts to improve the quality and performance are mainly concentrated on the technical side. The developers, testers, or engineers search for solutions mostly directed toward a local problem specific to a unit, department, or code.

Название: Generative AI with Python: Harnessing The Power Of Machine Learning And Deep Learning To Build Creative And Intelligent Systems
Автор: Code Planet
Издательство: Code Planet
Год: 2025
Страниц: 305
Язык: английский
Формат: epub
Размер: 14.0 MB

The limitless potential of generative AI and transform your ideas into reality with Generative AI with Python! This comprehensive guide is your gateway to the fascinating world of Generative Artificial Intelligence, where creativity meets cutting-edge technology. Perfect for developers, data scientists, and AI enthusiasts, this book takes you on an exciting journey to master the art of building intelligent systems capable of creating text, images, music, and more. Python has emerged as the dominant programming language in AI development, including generative AI, due to its simplicity, versatility, and extensive ecosystem of libraries and frameworks. Whether you're crafting unique solutions for businesses, exploring creative pursuits, or simply diving into one of the most transformative technologies of our time, Generative AI with Python equips you with the knowledge and skills to stay ahead in this rapidly evolving field. Step into the future of AI innovation and start building systems that inspire and innovate today!

Название: The Hundred-Page Language Models Book: Hands-on with PyTorch
Автор: Andriy Burkov
Издательство: True Positive Inc. / Leanpub
Год: 2025-01-26
Страниц: 209
Язык: английский
Формат: pdf
Размер: 24.3 MB

Master language models through mathematics, illustrations, and code―and build your own from scratch! The Hundred-Page Language Models Book by Andriy Burkov, the follow-up to his bestselling The Hundred-Page Machine Learning Book, offers a concise yet thorough journey from language modeling fundamentals to the cutting edge of modern Large Language Models (LLMs). Within Andriy's famous "hundred-page" format, readers will master both theoretical concepts and practical implementations, making it an invaluable resource for developers, data scientists, and Machine Learning engineers. Written in a hands-on style with working Python code examples, this book progressively builds your understanding from basic machine learning concepts to advanced language model architectures. All code examples run on Google Colab, making it accessible to anyone with a modern laptop. Readers should have programming experience in Python. While familiarity with PyTorch and tensors is helpful, it's not required. College-level math knowledge is beneficial, but the book presents mathematical concepts intuitively with clear examples and diagrams.