Видавець: K-i-s-publishing
Israel Gbati, Georgios Papanikolaou
Bare-Metal Embedded C Programming takes you on an unparalleled journey to equip you with the skills and knowledge to excel in the world of embedded systems. The author, with over a decade of hands-on experience in engineering, takes a unique, practical approach to teach you how to decode microcontroller datasheets so that you’re able to extract vital information for precise firmware development. Register manipulation will become second nature to you as you learn to craft optimized code from scratch.The book provides in-depth insights into the hardware intricacies of microcontrollers. You'll navigate user manuals and documentation with ease, ensuring a profound understanding of the underlying technology. The true uniqueness of this book lies in its commitment to fostering independent expertise. Instead of simply copy pasting, you'll develop the capability to create firmware with confidence, paving the way for professional-grade mastery.By the end of this book, you'll have honed your skills in reading datasheets, performing register manipulations, and crafting optimized code, as well as gained the confidence needed to navigate hardware intricacies and write optimized firmware independently, making you a proficient and self-reliant embedded systems developer.
Bash Cookbook. Leverage Bash scripting to automate daily tasks and improve productivity
Ron Brash, Ganesh Sanjiv Naik
In Linux, one of the most commonly used and most powerful tools is the Bash shell. With its collection of engaging recipes, Bash Cookbook takes you through a series of exercises designed to teach you how to effectively use the Bash shell in order to create and execute your own scripts. The book starts by introducing you to the basics of using the Bash shell, also teaching you the fundamentals of generating any input from a command. With the help of a number of exercises, you will get to grips with the automation of daily tasks for sysadmins and power users. Once you have a hands-on understanding of the subject, you will move on to exploring more advanced projects that can solve real-world problems comprehensively on a Linux system. In addition to this, you will discover projects such as creating an application with a menu, beginning scripts on startup, parsing and displaying human-readable information, and executing remote commands with authentication using self-generated Secure Shell (SSH) keys.By the end of this book, you will have gained significant experience of solving real-world problems, from automating routine tasks to managing your systems and creating your own scripts.
Bash Quick Start Guide. Get up and running with shell scripting with Bash
Tom Ryder
Bash and shell script programming is central to using Linux, but it has many peculiar properties that are hard to understand and unfamiliar to many programmers, with a lot of misleading and even risky information online. Bash Quick Start Guide tackles these problems head on, and shows you the best practices of shell script programming. This book teaches effective shell script programming with Bash, and is ideal for people who may have used its command line but never really learned it in depth. This book will show you how even simple programming constructs in the shell can speed up and automate any kind of daily command-line work.For people who need to use the command line regularly in their daily work, this book provides practical advice for using the command-line shell beyond merely typing or copy-pasting commands into the shell. Readers will learn techniques suitable for automating processes and controlling processes, on both servers and workstations, whether for single command lines or long and complex scripts. The book even includes information on configuring your own shell environment to suit your workflow, and provides a running start for interpreting Bash scripts written by others.
Steve Campbell, David Kennedy
Bash shell scripting is essential for penetration testing because it’s versatile and efficient and integrates thoroughly with the Unix-based systems commonly used in cybersecurity assessments. In this book, the author leverages his decades of experience in IT and pentesting to help you automate repetitive tasks, rapidly analyze data, and craft sophisticated exploits, boosting your effectiveness and productivity.You’ll get to grips with Bash basics, set up a hacking environment, and create basic scripts, before exploring file management, text processing, and manipulation. The chapters will guide you through advanced topics such as networking, parallel processing, and regular expressions. From there, the book will move on to practical applications, walking you through reconnaissance, web application and infrastructure pentesting, privilege escalation, persistence, and pivoting, all using Bash scripting. You’ll also get a solid understanding of advanced topics, including evasion and obfuscation tactics, integrating AI into penetration testing workflows, and implementing DevSecOps practices.By the end of this book, you’ll be well-versed with Bash shell scripting techniques tailored to penetration testing scenarios.
Bayesian Analysis with Python. A practical guide to probabilistic modeling - Third Edition
Osvaldo Martin, Christopher Fonnesbeck, Thomas Wiecki
The third edition of Bayesian Analysis with Python serves as an introduction to the main concepts of applied Bayesian modeling using PyMC, a state-of-the-art probabilistic programming library, and other libraries that support and facilitate modeling like ArviZ, for exploratory analysis of Bayesian models; Bambi, for flexible and easy hierarchical linear modeling; PreliZ, for prior elicitation; PyMC-BART, for flexible non-parametric regression; and Kulprit, for variable selection.In this updated edition, a brief and conceptual introduction to probability theory enhances your learning journey by introducing new topics like Bayesian additive regression trees (BART), featuring updated examples. Refined explanations, informed by feedback and experience from previous editions, underscore the book's emphasis on Bayesian statistics. You will explore various models, including hierarchical models, generalized linear models for regression and classification, mixture models, Gaussian processes, and BART, using synthetic and real datasets.By the end of this book, you’ll understand probabilistic modeling and be able to design and implement Bayesian models for data science, with a strong foundation for more advanced study.*Email sign-up and proof of purchase required
Osvaldo Martin, Eric Ma, Austin Rochford
The second edition of Bayesian Analysis with Python is an introduction to the main concepts of applied Bayesian inference and its practical implementation in Python using PyMC3, a state-of-the-art probabilistic programming library, and ArviZ, a new library for exploratory analysis of Bayesian models.The main concepts of Bayesian statistics are covered using a practical and computational approach. Synthetic and real data sets are used to introduce several types of models, such as generalized linear models for regression and classification, mixture models, hierarchical models, and Gaussian processes, among others. By the end of the book, you will have a working knowledge of probabilistic modeling and you will be able to design and implement Bayesian models for your own data science problems. After reading the book you will be better prepared to delve into more advanced material or specialized statistical modeling if you need to.
Bayesian Analysis with Python. Unleash the power and flexibility of the Bayesian framework
Osvaldo Martin
The purpose of this book is to teach the main concepts of Bayesian data analysis. We will learn how to effectively use PyMC3, a Python library for probabilistic programming, to perform Bayesian parameter estimation, to check models and validate them. This book begins presenting the key concepts of the Bayesian framework and the main advantages of this approach from a practical point of view. Moving on, we will explore the power and flexibility of generalized linear models and how to adapt them to a wide array of problems, including regression and classification. We will also look into mixture models and clustering data, and we will finish with advanced topics like non-parametrics models and Gaussian processes. With the help of Python and PyMC3 you will learn to implement, check and expand Bayesian models to solve data analysis problems.
Ashwin Pajankar, Abhishek Sharma, Sandeep Saini
This book is a one-stop guide for learning BBC Micro:bit with MicroPython, exploring many hardware components and programming techniques to provide detailed insights into developing practical applications with the Micro:bit. It will also show you how hardware components can be manipulated using a combination of Micro:bit and MicroPython for developing practical projects. BBC Micro:bit in Practice will help you gain a holistic understanding of the BBC Micro:bit platform and MicroPython programming, guiding you through mini projects aimed at developing practical knowledge of circuit design and writing programs. You’ll learn how to write programs for working with built-in LEDs and buttons, interfacing external LEDs, buttons, motors, buzzers, and much more. You’ll also work with built-in radio, speakers, accelerometer, and a compass. You’ll dive into concepts related to the Micro:bit filesystem, interfacing external displays, and working with libraries in detail before exploring sewable circuits and wearable technology.After reading this Micro:bit book, you’ll understand how to apply principles in electronics and MicroPython to create interesting real-life projects from scratch.