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Название: Designing Data intensive application in Python
Автор: Aarav Joshi
Издательство: 101 Books
Год: December 20, 2024
Страниц: 417
Язык: английский
Формат: pdf
Размер: 33.3 MB

Data is growing at an unprecedented rate, driven by advancements in technology, the proliferation of connected devices, and the rise of digital transformation. Every second, organizations generate vast amounts of data from diverse sources—social media, IoT sensors, e-commerce platforms, and more. This explosion of data brings immense opportunities for innovation, but it also presents significant challenges. To harness its potential, we must adopt best practices to handle data effectively, ensuring reliability, scalability, and security. Mishandling data can lead to inefficiencies, inaccuracies, and security vulnerabilities. Best practices, such as implementing robust data pipelines, ensuring consistency across systems, and prioritizing fault tolerance, are essential for building scalable and dependable data-intensive applications. Python has emerged as a preferred language for data-intensive applications due to its simplicity, extensive library ecosystem, and versatility. Libraries like Pandas, Dask, PySpark, and TensorFlow empower developers to process, analyze, and visualize data at scale efficiently.

Название: Line-of-Business Mobile Apps with Flutter and Dart
Автор: Isaac Lyman
Издательство: newline
Год выхода: 2025
Страниц: 242
Формат: True PDF, True ePUB
Размер: 29,5 MB
Язык: английский

Distribute and Deploy to iOS and Android from a Single Codebase
Flutter is a popular cross-platform development framework. It’s packed with off-the-shelf features and focused on developer ergonomics, which means you can build faster and deploy to more platforms with fewer dependencies. Some parts of the framework will catch you by surprise, though, especially if you’re used to developing for the web or writing native apps. This course will walk you through the creation of a Flutter app from setup to final package and help you develop a mental model that will carry you through the most common problems Flutter devs encounter.

Название: Python Data Visualization Using Plotly Framework: Explore Plotly To Create Stunning Visualizations And Uncover Insights From Your Data
Автор: Stephen G Schmitt
Издательство: Independently published
Год: October 6, 2024
Страниц: 204
Язык: английский
Формат: epub
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. The Plotly Python library is an interactive open-source library. This can be a very helpful tool for data visualization and understanding the data simply and easily. plotly graph objects are a high-level interface to plotly which are easy to use. It can plot various types of graphs and charts like scatter plots, line charts, bar charts, box plots, histograms, pie charts, etc.

Название: Machine Learning Via Rust: Machine Learning Using Rust
Автор: Evan Pradipta Hardinatha, Jaisy Malikulmulki Arasy, Chevan Walidain
Издательство: RantAI Academy
Серия: Semi-Numerical Series Book 1
Год: October 14, 2024
Страниц: 142
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

"MLVR - Machine Learning via Rust" is a groundbreaking textbook that combines the theoretical rigor of machine learning with the modern capabilities of the Rust programming language. Tailored for both students and professionals, this book offers a comprehensive and practical approach to mastering machine learning, with a strong emphasis on performance, safety, and concurrency—core strengths of Rust. Covering everything from classical models like linear regression and neural networks to advanced techniques such as AutoML and reinforcement learning, "MLVR" provides clear explanations, step-by-step coding guides, and real-world applications. By the end of this book, readers will be well-equipped to implement, optimize, and deploy machine learning models effectively using Rust, making it an essential resource for those looking to advance their skills in this evolving field.

Название: The Rust Programming Language
Автор: Evan Pradipta Hardinatha, Jaisy Malikulmulki Arasy, Chevan Walidain
Издательство: RantAI Academy
Серия: Non-Numerical Series Book 1
Год: September 17, 2024
Страниц: 243
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Your comprehensive guide to mastering Rust. This book takes you on a journey through Rust’s core principles and advanced features, combining practical examples with thorough theoretical insights to empower you to write efficient, safe, and concurrent software. Whether you’re an aspiring systems programmer or a seasoned developer, TRPL is designed to deepen your understanding and refine your skills in modern systems programming. With over 400 thoughtfully crafted prompts, this book embraces a new era of learning, integrating the power of AI to enhance your educational experience. Explore Rust’s capabilities and unlock new possibilities with this innovative approach to programming education.

Название: Apache Airflow и конвейеры обработки данных
Автор: Харенслак Б., де Руйтер Дж.
Издательство: ДMK
Год: 2021 (2022)
Cтраниц: 502
Формат: pdf
Размер: 17 мб
Язык: русский

Конвейеры обработки данных управляют потоком данных с момента их первоначального сбора до консолидации, очистки, анализа, визуализации и многого другого. Apache Airflow предоставляет единую платформу, которую можно использовать для проектирования, реализации, мониторинга и обслуживания конвейеров. Простота пользовательского интерфейса, возможности plug-and-play и гибкие сценарии Python оптимизируют решение любых задач, касающихся управления данными.

Название: A Holistic View of Software and Enterprise Architecture
Автор: Philip Keep Carter
Издательство: Christian Faith Publishing
Год: December 17, 2024
Страниц: 240
Язык: английский
Формат: pdf, epub (true)
Размер: 10.1 MB

In the dynamic realm of software development, specialization often creates silos, leaving professionals proficient in one area but lacking in others. A Holistic View of Software and Enterprise Architecture transcends these boundaries, offering a unified perspective on the intricate landscape of software and enterprise systems. This book comprehensively explores essential topics, covering administrative functions such as software methodologies, lifecycles, and roles alongside architectural concepts like data, software, and enterprise architecture. It compares monolithic, microservices, Data Fabric, and Data Mesh to understand how they can all be put on the same playing field. In the Chapter 1, we'll take a closer look at some of the most commonly used software development methodologies, including the Waterfall Model, Agile Methodology, DevOps, Lean Development, Rapid Application Development (RAD), Spiral Model, Extreme Programming (XP), Feature-Driven Development (FDD), and SAFe Agile.

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.