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Название: jаvascript Brain Teasers: Exercise Your Mind
Автор: Faraz K. Kelhini
Издательство: Pragmatic Bookshelf
Год: 2024
Страниц: 130
Язык: английский
Формат: pdf, azw3, epub (true), mobi
Размер: 10.1 MB

If you've ever felt the exhilaration of cracking a thorny problem or the joy of witnessing elegant code that challenges your mind, then this book is tailor-made for you. Prepare yourself to dive into a diverse array of mind-bending jаvascript brain teasers. Each puzzle is more than just a code exercise; it's a gateway to unlocking new insights and honing your abilities. As you work through the challenges, you'll learn to think pragmatically, optimize your code for efficiency, and avoid hidden pitfalls that can catch you off guard. What's more - the puzzle format will help you remember what you've learned! Over the years, jаvascript has gained a bit of a reputation for its quirky and unique characteristics. It's important for developers to be aware of these quirks to write more robust and predictable jаvascript code. In this book, we invite you on a journey designed to unveil the intricate nuances and peculiarities that define the language's essence. Learn how to simulate function overloading, embed hidden information within objects, develop self-contained functions capable of maintaining their own local state, generate number sequences using functional programming, handle exotic forms of IIFEs, and prevent loss of precision when dealing with large numbers. Grasp concepts like closures, hoisting, symbols, execution context, event queue, text normalization, and more, one puzzle at a time.

Название: Text Processing with jаvascript: Regular Expressions, Tools, and Techniques for Optimal Performance
Автор: Faraz K. Kelhini
Издательство: Pragmatic Bookshelf
Год: 2024
Страниц: 242
Язык: английский
Формат: pdf, epub (true)
Размер: 10.9 MB

You might think of regular expressions as the holy grail of text processing, but are you sure you aren't just shoehorning them in where standard built-in solutions already exist and would work better? jаvascript itself provides programmers with excellent methods for text manipulation, and knowing how and when to use them will help you write more efficient and performant code. From extracting data from APIs to calculating word counts and everything in between, discover how to pick the right tool for the job and make the absolute most of it every single time. Whether you're a beginner or an advanced programmer, this up-to-date guide will save you a ton of time when dealing with text. With Text Processing with jаvascript, you'll find a collection of tiny programs, each demonstrating a string manipulation approach in jаvascript. You'll also focus squarely on the practical aspects of text processing with jаvascript - that is, what each technique is designed to accomplish and how to use it in your program. Most popular programming languages support regular expressions, and there’s a good reason for that: regular expressions are incredibly powerful at text processing. With regular expressions, you can greatly reduce the time and effort required for complex string parsing tasks that would otherwise take dozens of lines of code. But, as a jаvascript developer, you may not need to jump into writing regular expression patterns whenever you need to process texts. jаvascript already provides excellent built-in tools that meet many of your text manipulation needs. In this book, you’ll explore when and how to use each tool by working through real-world scenarios. You’ll learn the mechanics of jаvascript’s regex in detail via cookbook-style recipes for various text manipulation tasks.

Название: Data Modeling with Microsoft Power BI: Self-Service and Enterprise Data Warehouse with Power BI (Final Release)
Автор: Markus Ehrenmueller-Jensen
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 526
Язык: английский
Формат: epub
Размер: 11.9 MB

Data modeling is the single most overlooked feature in Power BI Desktop, yet it's what sets Power BI apart from other tools on the market. This practical book serves as your fast-forward button for data modeling with Power BI, Analysis Services tabular, and SQL databases. It serves as a starting point for data modeling, as well as a handy refresher. Author Markus Ehrenmueller-Jensen, founder of Savory Data, shows you the basic concepts of Power BI's semantic model with hands-on examples in DAX, Power Query, and T-SQL. If you're looking to build a data warehouse layer, chapters with T-SQL examples will get you started. You'll begin with simple steps and gradually solve more complex problems. This book is your companion on your journey to gain a comprehensive understanding about the steps needed to make building reports in Power BI Desktop and Power BI Report Builder, and creating measures in DAX, easier. Power BI supports a wide variety of data sources (covering databases from different vendors, like Microsoft, Oracle or Teradata; flat files, like CSV, text, or Excel; web services like an https link to a web page, etc.). The only way to get data into Power BI is through Power Query. It’s best practice to add calculations as (explicit) measures in DAX (as opposed to calculated columns in DAX or as columns in Power Query or in the data source). Creating calculated tables in DAX should be an exception; depending on your skills and preferences, you will implement transformations to shape the data model either in Power Query (in the user interface or by writing code in the M language) or in the data source.

Название: TinyML for Edge Intelligence in IoT and LPWAN Networks
Автор: Bharat S. Chaudhari, Sheetal N. Ghorpade, Marco Zennaro
Издательство: Academic Press/Elsevier
Год: 2024
Страниц: 520
Язык: английский
Формат: pdf (true), epub
Размер: 38.7 MB

Recently, Tiny Machine Learning (TinyML) has gained incredible importance due to its capabilities of creating lightweight machine learning (ML) frameworks aiming at low latency, lower energy consumption, lower bandwidth requirement, improved data security and privacy, and other performance necessities. As billions of battery-operated embedded IoT and low power wide area networks (LPWAN) nodes with very low on-board memory and computational capabilities are getting connected to the Internet each year, there is a critical need to have a special computational framework like TinyML. TinyML for Edge Intelligence in IoT and LPWAN Networks presents the evolution, developments, and advances in TinyML as applied to IoT and LPWANs. It starts by providing the foundations of IoT/LPWANs, low power embedded systems and hardware, the role of artificial intelligence and machine learning in communication networks in general and cloud/edge intelligence. It then presents the concepts, methods, algorithms and tools of TinyML. Practical applications of the use of TinyML are given from health and industrial fields which provide practical guidance on the design of applications and the selection of appropriate technologies. TinyML for Edge Intelligence in IoT and LPWAN Networks is highly suitable for academic researchers and professional system engineers, architects, designers, testers, deployment engineers seeking to design ultra-lower power and time-critical applications.

Название: Неймовірні десерти з кремом, желе, шоколадом, фруктами
Автор: Романенко І.В.
Серия: Готувати смачно
Год: 2021
Изд-во: Х.: Vivat
Формат: pdf
К-во стр.: 48
Размер: 46,57 Мб
Язык: українська

Домашню кухню полюбляють усі, це факт. Адже що може бути кращим за добре приготований апетитний стейк, оригінальний салат, рум’яний пиріг чи повітряний десерт? Чудово ілюстровані книжки серії «Готувати смачно» — справжні помічники на вашій кухні. За запропонованими в них рецептами можна приготувати як навдивовижу смачні святкові страви, так і різноманітну й корисну їжу на щодень.
А практичні поради щодо обробки та приготування продуктів, безумовно, оцінять і досвідчені господині, і кулінари-початківці.

Название: Team Teens
Год: 2013-2015
Издатель: ФОП Пуппо К.А.
Формат: pdf
К-во стр.: по 34-40
Размер: 631,06 Мб
Язык: українська

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