Clean Code in PHP. Expert tips and best practices to write beautiful, human-friendly, and maintainable PHP

Carsten Windler, Alexandre Daubois

PHP is a beginner-friendly language, but also one that is rife with complaints of bad code,;yet no clean code books are specific to PHP. Enter Clean Code in PHP. This book is a one-stop guide to learning the theory and best practices of clean code specific to real-world PHP app development environments.This PHP book is cleanly split to help you navigate through coding practices and theories to understand and adopt the nuances of the clean code paradigm. In addition to covering best practices, tooling for code quality, and PHP design patterns, this book also presents tips and techniques for working on large-scale PHP apps with a team and writing effective documentation for your PHP projects.By the end of this book, you’ll be able to write human-friendly PHP code, which will fuel your PHP career growth and set you apart from the competition.

Forecasting Time Series Data with Facebook Prophet. Build, improve, and optimize time series forecasting models using the advanced forecasting tool

Greg Rafferty

Prophet enables Python and R developers to build scalable time series forecasts. This book will help you to implement Prophet’s cutting-edge forecasting techniques to model future data with higher accuracy and with very few lines of code. You will begin by exploring the evolution of time series forecasting, from the basic early models to the advanced models of the present day. The book will demonstrate how to install and set up Prophet on your machine and build your first model with only a few lines of code. You'll then cover advanced features such as visualizing your forecasts, adding holidays, seasonality, and trend changepoints, handling outliers, and more, along with understanding why and how to modify each of the default parameters. Later chapters will show you how to optimize more complicated models with hyperparameter tuning and by adding additional regressors to the model. Finally, you'll learn how to run diagnostics to evaluate the performance of your models and see some useful features when running Prophet in production environments.By the end of this Prophet book, you will be able to take a raw time series dataset and build advanced and accurate forecast models with concise, understandable, and repeatable code.

Quantum Machine Learning and Optimisation in Finance. Drive financial innovation with quantum-powered algorithms and optimisation strategies - Second Edition

Antoine Jacquier, Oleksiy Kondratyev, Alexander Lipton, Marcos López de Prado

As quantum machine learning (QML) continues to evolve, many professionals struggle to apply its powerful algorithms to real-world problems using noisy intermediate-scale quantum (NISQ) hardware. This book bridges that gap by focusing on hands-on QML applications tailored to NISQ systems, moving beyond the traditional textbook approaches that explore standard algorithms like Shor's and Grover's, which lie beyond current NISQ capabilities.You’ll get to grips with major QML algorithms that have been widely studied for their transformative potential in finance and learn hybrid quantum-classical computational protocols, the most effective way to leverage quantum and classical computing systems together.The authors, Antoine Jacquier, a distinguished researcher in quantum computing and stochastic analysis, and Oleksiy Kondratyev, a Quant of the Year awardee with over 20 years in quantitative finance, offer a hardware-agnostic perspective. They present a balanced view of both analog and digital quantum computers, delving into the fundamental characteristics of the algorithms while highlighting the practical limitations of today’s quantum hardware.By the end of this quantum book, you’ll have a deeper understanding of the significance of quantum computing in finance and the skills needed to apply QML to solve complex challenges, driving innovation in your work.

Adobe Edge Quickstart Guide. Quickly produce engaging motion and rich interactivity with Adobe Edge Preview 4 and above with this book and

Joseph Labrecque

With the advent of HTML5 and CSS3, web designers can now create sophisticated animations without the need of additional plugins such as Flash. However, there hasn't been an easy way for creating animations with web standards until now. This book enables even those with little knowledge of HTML or programming web content to freely create a variety of rich compositions involving motion and interactivity.Learning Adobe Edge will quickly get you up and running with this professional authoring software to create highly engaging content which targets HTML5, CSS, and JavaScript. Content created in Adobe Edge does not rely on a plugin ñ so it can be run within any standard browserñ even on mobile.Learning Adobe Edge begins with an overview of the shifting web landscape and the Edge application. We then move on through the variety of panels and toolsets available, and explore the many options we have when creating motion and interactivity using Edge.The book presents the reasoning behind engaging, standards-based web content and how Edge fills the need for professional tooling in this area. In the book we'll examine content creation and how to achieve fluid animation and advanced transitioning through the Edge timeline. Sprinkled throughout the book are tips and references for those coming to Edge from a background in Flash Professional. Whether you are coming to Edge from Flash Professional or are totally new to motion graphics on the web, Adobe Edge Quickstart Guide provides a solid foundation of motion and interactivity concepts and techniques along with a set of demo assets to build upon.

Python: End-to-end Data Analysis. Leverage the power of Python to clean, scrape, analyze, and visualize your data

Ivan Idris, Luiz Felipe Martins, Martin Czygan, Phuong Vo.T.H, ...

Data analysis is the process of applying logical and analytical reasoning to study each component of data present in the system. Python is a multi-domain, high-level, programming language that offers a range of tools and libraries suitable for all purposes, it has slowly evolved as one of the primary languages for data science. Have you ever imagined becoming an expert at effectively approaching data analysis problems, solving them, and extracting all of the available information from your data? If yes, look no further, this is the course you need!In this course, we will get you started with Python data analysis by introducing the basics of data analysis and supported Python libraries such as matplotlib, NumPy, and pandas. Create visualizations by choosing color maps, different shapes, sizes, and palettes then delve into statistical data analysis using distribution algorithms and correlations. You’ll then find your way around different data and numerical problems, get to grips with Spark and HDFS, and set up migration scripts for web mining. You’ll be able to quickly and accurately perform hands-on sorting, reduction, and subsequent analysis, and fully appreciate how data analysis methods can support business decision-making. Finally, you will delve into advanced techniques such as performing regression, quantifying cause and effect using Bayesian methods, and discovering how to use Python’s tools for supervised machine learning.The course provides you with highly practical content explaining data analysis with Python, from the following Packt books:1. Getting Started with Python Data Analysis.2. Python Data Analysis Cookbook.3. Mastering Python Data Analysis.By the end of this course, you will have all the knowledge you need to analyze your data with varying complexity levels, and turn it into actionable insights.

Network Science with Python and NetworkX Quick Start Guide. Explore and visualize network data effectively

Edward L. Platt

NetworkX is a leading free and open source package used for network science with the Python programming language. NetworkX can track properties of individuals and relationships, find communities, analyze resilience, detect key network locations, and perform a wide range of important tasks. With the recent release of version 2, NetworkX has been updated to be more powerful and easy to use.If you’re a data scientist, engineer, or computational social scientist, this book will guide you in using the Python programming language to gain insights into real-world networks. Starting with the fundamentals, you’ll be introduced to the core concepts of network science, along with examples that use real-world data and Python code. This book will introduce you to theoretical concepts such as scale-free and small-world networks, centrality measures, and agent-based modeling. You’ll also be able to look for scale-free networks in real data and visualize a network using circular, directed, and shell layouts.By the end of this book, you’ll be able to choose appropriate network representations, use NetworkX to build and characterize networks, and uncover insights while working with real-world systems.

Microservices Design Patterns in .NET. Making sense of microservices design and architecture using .NET Core

Trevoir Williams

Are you a developer who needs to fully understand the different patterns and benefits that they bring to designing microservices? If yes, then this book is for you. Microservices Design Patterns in .NET will help you appreciate the various microservice design concerns and strategies that can be used to navigate them.Making a microservice-based app is no easy feat and there are many concerns that need to be addressed. As you progress through the chapters of this guide, you’ll dive headfirst into the problems that come packed with this architectural approach, and then explore the design patterns that address these problems. You’ll also learn how to be deliberate and intentional in your architectural design to overcome major considerations in building microservices.By the end of this book, you’ll be able to apply critical thinking and clean coding principles when creating a microservices application using .NET Core.

Metasploit Penetration Testing Cookbook. Over 70 recipes to master the most widely used penetration testing framework with this book and

Abhinav Singh

Metasploit® software helps security and IT professionals identify security issues, verify vulnerability mitigations, and manage expert-driven security assessments. Capabilities include smart exploitation, password auditing, web application scanning, and social engineering. Teams can collaborate in Metasploit and present their findings in consolidated reports. The goal of the software is to provide a clear understanding of the critical vulnerabilities in any environment and to manage those risks.Metasploit Penetration Testing Cookbook targets both professionals and beginners to the framework. The chapters of the book are logically arranged with an increasing level of complexity and cover Metasploit aspects ranging from pre-exploitation to the post-exploitation phase thoroughly. The recipe structure of the book provides a good mix of both theoretical understanding and practical implementation. This book will help readers in thinking from a hacker's perspective to dig out the flaws in target networks and also to leverage the powers of Metasploit to compromise them. It will take your penetration skills to the next level.The book starts with the basics such as gathering information about your target and gradually covers advanced topics like building your own framework scripts and modules. The book goes deep into operating systems-based penetration testing techniques and moves ahead with client-based exploitation methodologies. In the post- exploitation phase, it covers meterpreter, antivirus bypass, ruby wonders, exploit building, porting exploits to framework, and third party tools like armitage, and SET. Metasploit Penetration Testing Cookbook is the required guide to penetration testing and exploitation.