Название: Learning PHP, MySQL & jаvascript: A Step-by-Step Guide to Creating Dynamic Websites, 7th Edition (Final Release)
Автор: Robin Nixon
Издательство: O’Reilly Media, Inc.
Год: 2025
Страниц: 650
Язык: английский
Формат: epub
Размер: 13.0 MB

Build interactive, data-driven websites with the potent combination of open source technologies and web standards, even if you have only basic HTML knowledge. With the latest edition of this popular hands-on guide, you'll tackle dynamic web programming using the most recent versions of today's core technologies: PHP, MySQL, jаvascript, CSS, HTML5, jQuery, Node.js, and the powerful React library. Web designers will learn how to use these technologies together while picking up valuable web programming practices along the way, including how to optimize websites for mobile devices. You'll put everything together to build a fully functional social networking site suitable for both desktop and mobile browsers. This book is for people who wish to learn how to create effective and dynamic websites.

Название: Think Stats: Exploratory Data Analysis, 3rd Edition (Early Release)
Автор: Allen Downey
Издательство: O’Reilly Media, Inc.
Год: 2024-11-26
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

If you know how to program, you have the skills to turn data into knowledge, using the tools of probability and statistics. This thoroughly revised edition shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. Through practical examples and exercises that follow a collection of real-world datasets, you'll learn the entire process of exploratory data analysis—from collecting data and generating statistics to identifying patterns and testing hypotheses. Whether you're a data scientist, software engineer, or data enthusiast, you'll get up to speed on commonly used tools including NumPy, SciPy, and Pandas as you explore distributions, relationships between variables, visualization, and many other concepts. And this updated guide has been fully moved into Jupyter notebooks, so you can read the text, run the code, and work on exercises all in one place.

Название: Node.js Projects: Advanced Node.js Concepts and Techniques for Building Scalable and Efficient Web Applications (Early Release)
Автор: Jon Wexler
Издательство: O’Reilly Media, Inc.
Год: 2024-11-25
Страниц: 101
Язык: английский
Формат: pdf, epub (true)
Размер: 10.4 MB

Ready to take your Node.js skills to the next level? If you've grasped the basics, you're probably ready for more complex real-world applications that will distinguish you in today's competitive job market. But traditional learning resources often lack the depth and practical application you need to truly excel. This book offers a solution. Moving beyond theory, author Jon Wexler guides you through a series of engaging projects that will transform you from a competent programmer into a Node.js expert. You'll dive straight in with hands-on projects that tackle day-to-day challenges.

Название: Outlier Detection in Python (Final Release)
Автор: Brett Kennedy
Издательство: Manning Publications
Год: 2025
Страниц: 562
Язык: английский
Формат: pdf (true)
Размер: 31.4 MB

Learn how to identify the unusual, interesting, extreme, or inaccurate parts of your data. Data scientists have two main tasks: finding patterns in data and finding the exceptions. These outliers are often the most informative parts of data, revealing hidden insights, novel patterns, and potential problems. Outlier Detection in Python is a practical guide to spotting the parts of a dataset that deviate from the norm, even when they're hidden or intertwined among the expected data points. Outlier Detection in Python illustrates the principles and practices of outlier detection with diverse real-world examples including social media, finance, network logs, and other important domains. You’ll explore a comprehensive set of statistical methods and machine learning approaches to identify and interpret the unexpected values in tabular, text, time series, and image data. Along the way, you’ll explore scikit-learn and PyOD, apply key OD algorithms, and add some high value techniques for real world OD scenarios to your toolkit. For Python programmers familiar with tools like Pandas and NumPy, and the basics of statistics.

Название: Microsoft Copilot for Power Apps: Transforming App Development with AI Assistance
Автор: Rezwanur Rahman
Издательство: Apress
Год: 2024
Страниц: 796
Язык: английский
Формат: pdf
Размер: 39.2 MB

This book is a comprehensive guide that aims to revolutionize how developers approach app creation using Microsoft PowerApps, with a special emphasis on harnessing Copilot, an AI-powered coding assistant. The book is an essential resource for both novice and experienced developers, offering an in-depth exploration of integrating artificial intelligence in app development. The integration of AI in app development, particularly through tools such as Copilot, is more relevant now than ever before due to the rapid evolution of technology and the increasing demand for efficient, innovative, and user-friendly applications. Copilot for PowerApps represents a significant advance in this direction, offering developers a unique combination of AI-powered efficiency and the versatility of PowerApps. For anyone interested in the intersection of AI and app development.

Название: Волшебство и вычисления: практическое пособие для начинающих фокусников и программистов
Автор: Пол Керзон, Питер У. Макоуэн
Издательство: ДМК Пресс
Год: 2025
Страниц: 397
Язык: русский
Формат: pdf
Размер: 11.9 MB

Совершенствуйте свои навыки фокусника одновременно с изучением основ информатики! Команда проекта «Компьютерные науки ради забавы» (Computer Science for Fun, CS4FN), приглашает вас познакомиться с книгой, благодаря которой вы научитесь показывать фокусы и проводить магические шоу. Каждая глава шаг за шагом раскрывает секреты выполнения простых фокусов, а затем в увлекательной форме рассказывает о связанных с ними фундаментальных идеях информатики. Эта книга призвана стать развлекательным путеводителем для молодых читателей, которые делают первые шаги в познании вычислительного мышления и искусства фокуса. Она объединяет информатику, когнитивную психологию и другие научные методы для знакомства юных читателей с основами информатики в доступной и интересной форме. Каждая из 50 глав описывает простой фокус и затем использует его в качестве отправной точки для объяснения основных концепций компьютерных вычислений. Читатели познакомятся с такими темами, как алгоритмы, представление данных, вычислительное мышление, взаимодействие человека и компьютера и кибербезопасность, а также с необычными способами использования технологий в качестве фокусов. Издание предназначено широкому кругу любителей информатики, математики и интеллектуального досуга.

Название: Conjuring with Computation: A Manual of Magic and Computing for Beginners
Автор: Paul Curzon, Peter W. McOwan
Издательство: World Scientific Publishing
Год: 2023
Страниц: 421
Язык: английский
Формат: pdf (true)
Размер: 23.6 MB

The team behind Computer Science for Fun (CS4FN), brings you Conjuring with Computation: A Manual of Magic and Computing for Beginners. Develop your skills as a magician while also learning the basics of Computer Science by exploring its links to magic. Each chapter explains how to do a simple magic trick, step-by-step, then uses the trick to introduce linked fundamental ideas in Computer Science in a fun way. By reading the book you will learn to do self-working tricks, be able to hold magic shows, create your own versions of tricks, and with creativity even invent your own. We cover: Self-working card tricks Magical jigsaws, boxes and other objects False shuffles and cuts False choices Magic with books and pictures Mentalism, clairvoyance and tricks with ghosts Magic built on technology Find out your friends' superpowers! You will also learn how computation underpins conjuring, answering questions like: What is computation? Why are the skills of a computational thinker, such as decomposition, abstraction and generalisation, so important? Why is data represented in different ways? How is easy-to-use software created? How does maths underpin programming? What are the basics of cyber security and privacy? Why must we all understand how computing technology affects society? The book includes profiles of computer scientists, alongside magicians with links to technology, through history. Master conjuring and thinking computationally.

Название: A Common-Sense Guide to Data Structures and Algorithms in Python, Volume 1: Level Up Your Core Programming Skills
Автор: Jay Wengrow
Издательство: Pragmatic Bookshelf
Год: 2024
Страниц: 489
Язык: английский
Формат: pdf (true), epub (true)
Размер: 12.1 MB, 24.2 MB

If you thought data structures and algorithms were all just theory, you're missing out on what they can do for your Python code. Learn to use Big O notation to make your code run faster by orders of magnitude. Choose from data structures such as hash tables, trees, and graphs to increase your code's efficiency exponentially. With simple language and clear diagrams, this book makes this complex topic accessible, no matter your background. Every chapter features practice exercises to give you the hands-on information you need to master data structures and algorithms for your day-to-day work. Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for today's web and mobile apps. Take a practical approach to data structures and algorithms, with techniques and real-world scenarios that you can use in your daily production code. The Python edition uses Python exclusively for all code examples, exercise, and solutions. Use these techniques today to make your Python code faster and more scalable.

Название: Linear Algebra for Data Science, Machine Learning, and Signal Processing
Автор: Jeff Fessler, Raj Rao Nadakuditi
Издательство: Cambridge University Press
Год: 2024
Страниц: 451
Язык: английский
Формат: pdf
Размер: 29.2 MB

Maximise student engagement and understanding of matrix methods in data-driven applications with this modern teaching package. Students are introduced to matrices in two preliminary chapters, before progressing to advanced topics such as the nuclear norm, proximal operators and convex optimization. Highlighted applications include low-rank approximation, matrix completion, subspace learning, logistic regression for binary classification, robust PCA, dimensionality reduction and Procrustes problems. Extensively classroom-tested, the book includes over 200 multiple-choice questions suitable for in-class interactive learning or quizzes, as well as homework exercises (with solutions available for instructors). It encourages active learning with engaging 'explore' questions, with answers at the back of each chapter, and Julia code examples to demonstrate how the mathematics is actually used in practice. A suite of computational notebooks offers a hands-on learning experience for students. This is a perfect textbook for upper-level undergraduates and first-year graduate students who have taken a prior course in linear algebra basics.

Название: NeoBook: Практикум по быстрому программированию с нуля
Автор: Лёвкин В. Е.
Издательство: Москва
Год: 2018
Cтраниц: 191 с. : ил.
Формат: pdf (ocr) / djvu
Размер: 13 мб
Язык: русский

Учебное пособие представляет собой специальную подборку практических заданий с подробными объяснениями и скриншотами, демонстрирующими пошаговый процесс создания нескольких полезных приложений в программном редакторе NeoBook.