Название: An Introduction to PHP: Learn PHP 8 to Create Dynamic Websites
Автор: Mark Simon
Издательство: Apress
Год: 2024
Страниц: 639
Язык: английский
Формат: pdf
Размер: 10.1 MB

Use PHP to enhance your web pages. This book shows you how PHP programming works, and how to write and organize PHP code. The book starts with steps to download and install a setup for a sample website that will form the basis for upcoming chapters. You start by writing PHP code and learn how to mix it with HTML and manage the code. From there, you will learn about dynamic content, along with a deep dive into form processing and sending email. Saving uploaded data and uploading files is discussed next. You will learn how to configure your PHP project and develop a library. You will then learn how to create an image catalog and manage data on your web page. By the end of the book, you will understand how to work with cookies, sessions, and logging in, followed by an example of creating a simple blog that reiterates the concepts developed in the previous chapters. After reading this book, you will be able to configure, create, and manage your dynamic website.

Название: Math for Security: From Graphs and Geometry to Spatial Analysis
Автор: Daniel Reilly
Издательство: No Starch Press
Год: 2023
Страниц: 314
Язык: английский
Формат: True/Retail PDF EPUB
Размер: 19.2 MB

Use applied math to map fire stations, develop facial recognition software, solve the art gallery problem and more in this hands-on, real-world infosec book.Explore the intersection of mathematics and computer security with this engaging and accessible guide.Math for Security will equip you with essential tools to tackle complex security problems head on. All you need are some basic programming skills. Once you’ve set up your development environment and reviewed the necessary Python syntax and math notation in the early chapters, you’ll dive deep into practical applications, leveraging the power of math to analyze networks, optimize resource distribution, and much more. In the book’s final chapters, you’ll take your projects from proof of concepts to viable applications and explore options for delivering them to end users. If you know enough Python to install and import packages, read and write files, and manage basic networking tasks, you should be set. You don’t need a deep understanding of math to follow along, since we’ll break down the formulas as we use them.

Название: The Rust Programming Language, 2nd Edition
Автор: Steve Klabnik, Carol Nichols
Издательство: No Starch Press
Год: 2023
Страниц: 562
Язык: английский
Формат: True PDF, True EPUB (Retail Copy)
Размер: 10.1 MB

The Rust Programming Language, 2nd Edition is the official guide to Rust 2021: an open source systems programming language that will help you write faster, more reliable software. Rust provides control of low-level details along with high-level ergonomics, allowing you to improve productivity and eliminate the hassle traditionally associated with low-level languages. It wasn’t always so clear, but the Rust programming language is fundamentally about empowerment: no matter what kind of code you are writing now, Rust empowers you to reach further, to program with confidence in a wider variety of domains than you did before. Programmers who are already working with low-level code can use Rust to raise their ambitions. For example, introducing parallelism in Rust is a relatively low-risk operation: the compiler will catch the classical mistakes for you.

Название: C Programming for Beginners: With hands-on learning for beginners, master the fundamentals and unleash the power of C programming
Автор: Ralph T. Burwell
Издательство: Independently published
Год: 2024
Язык: английский
Формат: pdf
Размер: 12.3 MB

'C Programming for Beginners' will take you on an adventure into the world of programming. Designed with novice coders in mind, this extensive manual breaks down the confusion around the principles of C programming. This book is a great resource for newcomers since it covers everything from comprehending the fundamental structure of C programs to learning important ideas like variables, loops, and functions. 'C Programming for Beginners' is an excellent resource for both self-learners and educators since it is written with clarity and pedagogical acumen, with an emphasis on instructions. This book explores the fundamental concepts of C, providing readers with a strong foundation in this fundamental programming language via real-world examples and expert guidance. It is important to remember that while the information is based on current knowledge, it may not cover all of the most recent advancements in the industry. Since readers, particularly when dipping into specialist applications, should independently check the information and consult experts, the author and publisher disclaim all obligation for any mistakes or omissions.

Название: Econometric Python: Harnessing Data Science for Economic Analysis: The Science of Pythonomics in 2024
Автор: Hayden Van Der Post, Johann Strauss
Издательство: Reactive Publishing
Год: 2024
Страниц: 416
Язык: английский
Формат: pdf
Размер: 30.3 MB

In the rapidly evolving landscape of economics, "Econometric Python" emerges as a groundbreaking guide, perfectly blending the intricate world of econometrics with the dynamic capabilities of Python. This book is crafted for economists, data scientists, researchers, and students who aspire to revolutionize their approach to economic data analysis. At its center, "Econometric Python" serves as a beacon for those navigating the complexities of econometric models, offering a unique perspective on applying Python's powerful data science tools in economic research. The book starts with a fundamental introduction to Python, focusing on aspects most relevant to econometric analysis. This makes it an invaluable resource for both Python novices and seasoned programmers. As the narrative unfolds, readers are led through a series of progressively complex econometric techniques, all demonstrated with Python's state-of-the-art libraries such as Pandas, NumPy, and statsmodels. Each chapter is meticulously designed to balance theory and practice, providing in-depth explanations of econometric concepts, followed by practical coding examples.

Название: GoLang for Machine Learning: A Hands-on-Guide to Building Efficient, Smart and Scalable ML Models with Go Programming
Автор: Evan Atkins
Издательство: Independently published
Год: 2024
Страниц: 155
Язык: английский
Формат: pdf
Размер: 19.1 MB

Go, the high-performance language from Google, is rapidly gaining traction in the Machine Learning (ML) world. Its speed, concurrency, and built-in features make it ideal for building efficient, scalable ML models. But where do you start? This book is written by a seasoned developer and Machine Learning expert, providing you with practical, hands-on guidance based on real-world experience. After reading this book, you'll be equipped with the knowledge and tools to create robust, performant models without sacrificing clarity or maintainability. Hands-on projects covering various Machine Learning tasks, from regression and classification to image recognition and natural language processing. This book is designed for programmers with some coding experience who are interested in applying Go to Machine Learning. Whether you're a data scientist, software engineer, or simply curious about Go's potential, this guide will empower you to create impactful ML models. Stop struggling with slow, complex ML frameworks. Start building efficient, scalable models with Go. Get your copy of GoLang for Machine Learning today and embark on your journey to smarter, faster AI!

Название: Python for Absolute Beginners: The Ultimate Beginner's Guide to Learn Python Programming with Extensive Coverage on Data Science and Web Programming
Автор: Bona Akubue
Издательство: NanoEdge International Ltd
Год: 2024
Страниц: 453
Язык: английский
Формат: pdf
Размер: 32.3 MB

If you are fortunate enough to have this book as your first Python book, then this is likely the only book you will ever need to master programming in Python. It is a three-in-one book. The first part of the book is dedicated to introducing you to the fundamentals of Python programming. The second part of the book is on data science with Python using Numpy, Pandas, and visualizations using Matplotlib. The third part is on web programming with Python using the Django web framework. Normally, these would have been three books. I wanted to give you a book that will equip you with the fundamentals and the frameworks to go into data science and web development using Python. Also, I wanted to give you an opportunity to determine which career path is best for you. All these without being unnecessarily bulky or too simplified and leaving important details out. Whether you want to pursue a career in data science or web programming, this book has you covered. This is not just a regular Python book, but a practical manual. It is more of a personal tutor with numerous hand-on practice exercises to hone your programming skills.

Название: Adversarial Multimedia Forensics
Автор: Ehsan Nowroozi, Kassem Kallas, Alireza Jolfaei
Издательство: Springer
Серия: Advances in Information Security
Год: 2024
Страниц: 298
Язык: английский
Формат: pdf (true), epub
Размер: 45.9 MB

This book explores various aspects of digital forensics, security and Machine Learning, while offering valuable insights into the ever-evolving landscape of multimedia forensics and data security. This book’s content can be summarized in two main areas. The first area of this book primarily addresses techniques and methodologies related to digital image forensics. It discusses advanced techniques for image manipulation detection, including the use of Deep Learning architectures to generate and manipulate synthetic satellite images. This book also explores methods for face recognition under adverse conditions and the importance of forensics in criminal investigations. Additionally, the book highlights anti-forensic measures applied to photos and videos, focusing on their effectiveness and trade-offs. Intended for those in Computer Science, engineering, and other related fields, this book explores the challenges and opportunities of the adversarial side of multimedia forensics. Some Machine Learning and signal processing basics are helpful but are not required. The goal is to equip readers with the knowledge to navigate this complex space and drive innovation in this exciting, ever-changing field.

Название: The Complete Coding Manual - 21th Edition, 2024
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2024
Страниц: 164
Язык: английский
Формат: pdf
Размер: 84.1 MB

Программирование встречается повсюду. От вашего телевизора до Международной космической станции - миллионы строк кода, управляющего и предоставляющего услуги, которые мы воспринимаем как должное. За всем этим кодом стоят программисты, которые разрабатывают наш цифровой мир, используя множество различных языков для создания Интернета, операционных систем, игр и современных развлечений. Будь то внутри самого мощного в мире суперкомпьютера или автоматизация задач на борту МКС, создание сценариев - ключ к эффективному взаимодействию между системами и людьми. Серия "Полное руководство по программированию" призвана помочь вам извлечь максимальную пользу из вашего опыта кодирования. В этой книге вы найдете идеи, концепции, руководства, советы и проекты, которые помогут вам пройти путь от новичка до продвинутого программиста, понимающего несколько языков и умеющего составлять свой собственный код. На этих страницах мы рассматриваем C++, Python и скрипты Linux.

Название: Modern Data Visualization with R
Автор: Robert Kabacoff
Издательство: CRC Press
Серия: The R Series
Год: 2024
Страниц: 272
Язык: английский
Формат: pdf (true)
Размер: 33.4 MB

Modern Data Visualization with R describes the many ways that raw and summary data can be turned into visualizations that convey meaningful insights. R is an amazing platform for data analysis, capable of creating almost any type of graph. This book helps you create the most popular visualizations–from quick and dirty plots to publication-ready graphs. The text relies heavily on the ggplot2 package for graphics, but other approaches are covered as well. It starts with basic graphs such as bar charts, scatter plots, and line charts, but progresses to less well-known visualizations such as tree maps, alluvial plots, radar charts, mosaic plots, effects plots, correlation plots, biplots, and the mapping of geographic data. Both static and interactive graphics are described and the use of color, shape, shading, grouping, annotation, and animations are covered in detail. The book moves from a default look and feel for graphs, to graphs with customized colors, fonts, legends, annotations, and organizational themes. The book is written for those new to data analysis as well as the seasoned data scientist. The reader should have some basic coding experience, but expertise in R is not required.