Litgu.ru - Литературный Гуру

Название: React from Scratch : A friendly guide for absolute beginners
Автор: Ajdin Imsirovic
Издательство: Leanpub
Год: 2022-10-08
Страниц: 171
Язык: английский
Формат: pdf (true), epub
Размер: 10.2 MB

This book is my answer to the question: how to teach React to a complete beginner, in as little time as possible? Need to learn the basics quickly? This is your book. React is a library for the web, written in the jаvascript language. The purpose of this library is to code the UI of our websites. If you’re starting this book, I expect you at least have Node.js and NPM installed on your machine. I’m also assuming that you did use a code editor before, and that you’re comfortable, or at least familiar with VS Code. If not, then this book might be too advanced for you - but still, give it a try. I’ve written it with the intention of making it accessible even for almost a complete web development beginner. Still, a level of knowledge of HTML, CSS, and JS will go a long way. The more you know the above three technologies, the easier this book will be.

Название: Microsoft Visual C# в задачах и примерах (+ CD-ROM)
Автор: Культин Н.Б.
Издательство: СПб.: БXB-Пeтepбуpг
Год: 2009
Cтраниц: 320
Формат: djvu
Размер: 11 мб
Язык: русский

Книга представляет собой сборник программ и задач для самостоятельного решения. Примеры различной степени сложности - от простейших до приложений работы с графикой и базами данных, в том числе Microsoft Access и Microsoft SQL Server Compact Edition -демонстрируют назначение базовых компонентов, раскрывают тонкости разработки приложений Windows Forms в Microsoft Visual C#. Уделено внимание использованию технологии LINQ.

Название: The Art of Functional Programming
Автор: Minh Quang Tran, PhD
Издательство: Leanpub
Год: 2022-09-21
Страниц: 205
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

A master class on the fundamentals and principles of functional programming. It contains 20 programming challenges with detailed solutions and 44 quizzes with answers and explanations. Moreover, 84 diagrams graphically illustrate how concepts and techniques work. Two real-world use cases show how to apply functional programming in practice. We’ll mainly use OCaml and occasionally Haskel to demonstrate the key concepts and techniques of functional programming throughout the book. To contrast functional programming concepts with imperative ones,we’ll use Java. Yet, it is essential to repeat that most functional programming techniques introduced in this book are universal. That means we can apply them to almost any programming language that supports the functional programming style. This includes but is not limited to Swift, Kotlin, jаvascript, Go, Python, and even Java (using the Java Stream API).

Название: Data Wrangling Using Pandas, SQL, and Java
Автор: Oswald Campesato
Издательство: Mercury Learning and Information
Год: 2023
Страниц: 275
Язык: английский
Формат: pdf (true)
Размер: 13.0 MB

This book contains a fast-paced introduction to as much relevant information about managing data that can be reasonably included in a book of this size. However, you will be exposed to a variety of features of NumPy and Pandas, how to create databases and tables in MySQL, and how to perform many data cleaning tasks and data wrangling. This book is intended primarily for people who plan to become data scientists as well as anyone who needs to perform data cleaning tasks. What do i need to know for this book? Current knowledge of Python 3.x is the most helpful skill. Knowledge of other programming languages (such as Java) can also be helpful because of the exposure to programming concepts and constructs.

Название: Python Tools for Data Scientists: Pocket Primer
Автор: Oswald Campesato
Издательство: Mercury Learning and Information
Год: 2023
Страниц: 323
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

As part of the best-selling Pocket Primer series, this book is designed to provide a thorough introduction to numerous Python tools for data scientists. The book covers features of NumPy and Pandas, how to write regular expressions, and how to perform data cleaning tasks. It includes separate chapters on data visualization and working with Sklearn and SciPy. Companion files with source code are available. This book contains a fast-paced introduction to as much relevant information about Python tools for data scientists as possible that can be reasonably included in a book of this size. If you are a novice, this book will give you a starting point from which you can decide which Python technologies that you want to explore in greater detail.

Название: C++ Move Semantics - The Complete Guide (2022)
Автор: Nicolai M. Josuttis
Издательство: Leanpub
Год: 2022-04-19
Страниц: 262
Язык: английский
Формат: pdf (true), epub
Размер: 10.3 MB

All aspects of C++ move semantics with intutive motivation, compelling examples, and tricky details.The book is complete now and done. Move semantics, introduced with C++11, has become a hallmark of modern C++ programming. However, it also complicates the language in many ways. After several years of support of move semantics experienced programmers struggle with all the details of move semantics. Even for trivial classes, style guides give conflicting or inappropriate advice on how to benefit from move semantics. Time to explain all aspects of C++ move semantics in detail. This book teaches C++ move semantics. Starting from the basic principles, it motivates and explains all the corner cases of move semantics so that as a programmer, you can use move semantics correctly.

Название: Technical Building Blocks: A Technology Reference for Real-world Product Development
Автор: Gaurav Sagar, Vitalii Syrovatsky
Издательство: Apress
Год: 2022
Страниц: 415
Язык: английский
Формат: pdf (true), epub
Размер: 12.2 MB, 11.3 MB

This book offers comprehensive coverage of the various technologies and techniques used to build technical products. You will learn how technical product development is collaboratively done across multiple technical teams, primarily those in software engineering, data engineering, and AI/ML engineering. You will also be introduced to the technologies these teams use to develop features and products.

Название: Go Cookbook: Expert Solutions for Commonly Needed Go Tasks (Fourth Early Release)
Автор: Sau Sheong Chang
Издательство: O’Reilly Media, Inc.
Год: 2022-10-25
Страниц: 111
Язык: английский
Формат: epub (true), pdf, mobi
Размер: 10.27 MB

Go is an increasingly popular language for programming everything from web applications to distributed network services. This practical guide provides recipes to help you unravel common problems and perform useful tasks when working with Go. Each recipe includes self-contained code solutions that you can freely use, along with a discussion of how and why they work. Programmers new to Go can quickly ramp up their knowledge while accomplishing useful tasks, and experienced Go developers can save time by cutting and pasting proven code directly into their applications.

Название: Python for Engineers and Scientists: Concepts and Applications
Автор: Rakesh Nayak, Nishu Gupta
Издательство: CRC Press
Год: 2023
Страниц: 459
Язык: английский
Формат: pdf (true)
Размер: 36.3 MB

The text focuses on the basics of Python programming fundamentals and introduction to present-day applications in technology and the upcoming state-of-art trends in a comprehensive manner. The text is based on Python 3.x and it covers the fundamentals of Python with object-oriented concepts having numerous worked-out examples. It provides a learning tool for the students of beginner level as well as for researchers of advanced level. Each chapter contains additional examples that explain the usage of methods/functions discussed in the chapter. It provides numerous programming examples along with their outputs.

Название: Pandas for Everyone: Python Data Analysis, 2nd Edition (Rough Cuts)
Автор: Daniel Chen
Издательство: Addison-Wesley Professional/Pearson
Год: 2022
Страниц: 336
Язык: английский
Формат: epub
Размер: 10.2 MB

Manage and Automate Data Analysis with Pandas in Python. Today, analysts must manage data characterized by extraordinary variety, velocity, and volume. Using the open source Pandas library, you can use Python to rapidly automate and perform virtually any data analysis task, no matter how large or complex. Pandas can help you ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple data sets. As the name implies, this book is meant for everyone who wants to use Python for data science, whether they are veteran Python users, experienced programmers, statisticians, or entirely new to the field. For people brand new to Python the book contains a collection of appendixes for getting started with the language and for installing both Python and Pandas, and it covers the whole analysis pipeline, including reading data, visualization, data manipulation, modeling, and Machine Learning.