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Podcasts
Begin your journey into PHP programming and algorithmic thinking with a structured, detailed course that takes you from understanding the basic components of a computer to mastering complex decision control and loop structures. Each chapter builds on the previous one, starting with an introduction to how computers work and gradually progressing to more complex topics like decision control structures, loop structures, arrays, and subprograms.You'll start with foundational concepts such as variables, constants, and operators, before diving into more advanced topics like manipulating strings, handling input and output, and developing complex mathematical expressions. The course emphasizes practical application, guiding you through the use of Visual Studio Code, integrated development environments, and essential software packages.By the end of this book, you will have a solid understanding of PHP programming and algorithmic thinking, enabling you to write efficient code, develop your own subprograms, and utilize various control structures and arrays effectively. This course is tailored for beginners, ensuring a smooth learning curve with tips, tricks, and exercises to reinforce your knowledge, and prepare you with the necessary skills needed to be a programmer.
Adobe Illustrator is a vector-based art tool for visual creatives. It is an industry-standard tool that helps you take a design from concept to completion, including the process of peer collaboration and client feedback.Complete with step-by-step explanations of essential concepts and practical examples, you’ll begin to build confidence as you master the methods of successful illustrators in the industry by exploring crucial tools and techniques of Adobe Illustrator. You’ll learn how to create objects using different tools and methods while assigning varied attributes and appearances. Throughout the book, you’ll strengthen your skills in developing structures for maintaining organization as your illustration grows.By the end of this Adobe Illustrator book, you’ll have gained the confidence you need to not only create content in the desired format and for the right audience but also build eye-catching vector art based on solid design principles.
Linux is one of the fastest-growing operating systems around the world, and in the last few years, the Linux kernel has evolved significantly to support a wide variety of embedded devices with its improved subsystems and a range of new features. With this book, you’ll find out how you can enhance your skills to write custom device drivers for your Linux operating system.Mastering Linux Device Driver Development provides complete coverage of kernel topics, including video and audio frameworks, that usually go unaddressed. You’ll work with some of the most complex and impactful Linux kernel frameworks, such as PCI, ALSA for SoC, and Video4Linux2, and discover expert tips and best practices along the way. In addition to this, you’ll understand how to make the most of frameworks such as NVMEM and Watchdog. Once you’ve got to grips with Linux kernel helpers, you’ll advance to working with special device types such as Multi-Function Devices (MFD) followed by video and audio device drivers.By the end of this book, you’ll be able to write feature-rich device drivers and integrate them with some of the most complex Linux kernel frameworks, including V4L2 and ALSA for SoC.
Extracting valuable business insights is no longer a ‘nice-to-have’, but an essential skill for anyone who handles data in their enterprise. Hands-On Data Analysis with Pandas is here to help beginners and those who are migrating their skills into data science get up to speed in no time.This book will show you how to analyze your data, get started with machine learning, and work effectively with the Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn.Using real-world datasets, you will learn how to use the pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will learn how to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding chapters, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data.This updated edition will equip you with the skills you need to use pandas 1.x to efficiently perform various data manipulation tasks, reliably reproduce analyses, and visualize your data for effective decision making – valuable knowledge that can be applied across multiple domains.
Appcelerator Titanium is the leading method for creating native cross-platform apps. This book guides you from the initial stages with the language right through to the submission of your app to the marketplace/app store. Specially crafted examples cover the most common requirements of an app programmer. This book will be your companion as you progress with the language.Appcelerator Titanium Application Development by Example Beginner's Guide will guide you through the process of designing cross-platform apps using Titanium. It covers all areas of the language from installation through development to submission to the store. This book will take a hands-on approach in teaching you how to write cross-platform apps using Titanium, as well as exploring the new features of Titanium 3. Each chapter will show you how to overcome specific challenges using Titanium. You will learn how to design your apps using MVC principles and Alloy, use the cloud to your advantage, develop apps that work on tablets and phones, use the phone gadgets like the accelerometer, integrate social media, record usage using analytics, and monetise your app. All tasks from installation to deployment to the store are covered and backed by examples. The book will be your companion from your first steps with Titanium to successful live deployment.
We’re living in an era where cyber threat intelligence is becoming more important. Cyber threat intelligence routinely informs tactical and strategic decision-making throughout organizational operations. However, finding the right resources on the fundamentals of operationalizing a threat intelligence function can be challenging, and that’s where this book helps.In Operationalizing Threat Intelligence, you’ll explore cyber threat intelligence in five fundamental areas: defining threat intelligence, developing threat intelligence, collecting threat intelligence, enrichment and analysis, and finally production of threat intelligence. You’ll start by finding out what threat intelligence is and where it can be applied. Next, you’ll discover techniques for performing cyber threat intelligence collection and analysis using open source tools. The book also examines commonly used frameworks and policies as well as fundamental operational security concepts. Later, you’ll focus on enriching and analyzing threat intelligence through pivoting and threat hunting. Finally, you’ll examine detailed mechanisms for the production of intelligence.By the end of this book, you’ll be equipped with the right tools and understand what it takes to operationalize your own threat intelligence function, from collection to production.