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Offensive Shellcode from Scratch
Gain practical knowledge of shellcode and leverage it to develop shellcode for Windows and Linux operating systems, while understanding the countermeasures in place and how these can be bypassedKey FeaturesGet up and running with shellcode fundamentalsDevelop Shellcode for Windows and LinuxUnderstand the building blocks of shellcodeBook DescriptionShellcoding is a technique that is executed by many red teams and used in penetration testing and real-world attacks. Books on shellcode can be complex, and writing shellcode is perceived as a kind of "dark art." Offensive Shellcode from Scratch will help you to build a strong foundation of shellcode knowledge and enable you to use it with Linux and Windows. This book helps you to explore simple to more complex examples of shellcode that are used by real advanced persistent threat (APT) groups. You'll get to grips with the components of shellcode and understand which tools are used when building shellcode, along with the automated tools that exist to create shellcode payloads. As you advance through the chapters, you'll become well versed in assembly language and its various components, such as registers, flags, and data types. This shellcode book also teaches you about the compilers and decoders that are used when creating shellcode. Finally, the book takes you through various attacks that entail the use of shellcode in both Windows and Linux environments. By the end of this shellcode book, you'll have gained the knowledge needed to understand the workings of shellcode and build your own exploits by using the concepts explored.What you will learnGain a thorough understanding of shellcodeGet to grips with assembly language and its key purpose in shellcode developmentIdentify key elements of memory registersExplore debuggers and their use casesGet up and running with hands-on shellcode creation for both Windows and LinuxExploit Windows and Linux operating systems using shellcodeAssess countermeasures of Windows and LinuxWho this book is forThis book is for red teamers, penetration testers, and anyone looking to learn about shellcode and find out how it is used to break into systems by making use of simple to complex instructions of code in memory. Basic shellcode knowledge is helpful but not mandatory to understand the topics covered in this book.
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Security by Practice
Exercises presented in this book are designed for advanced students studying computer science, information technology, or similar degrees with a concentration on information and network security and information assurance. The exercises do not list step-by-step instructions with commands to use; instead they assume that students will have some level of prerequisite knowledge on networks, Python programming, Linux operating system, Cisco command line interface (CLI), and Scapy. A moderate level of research is needed to complete each exercise. Time to complete each exercise is assumed to be somewhere between two to ten hours, depending on its complexity. Topics covered in these exercises merely scratch the surface of the domain of Network Security and Information Assurance. Students are encouraged to delve deeper into each topic and conduct additional research and practice more hands-on activities to get a solid grasp of these concepts, tools, and techniques.
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Test-Driven Development with Python
The third edition of this trusted guide demonstrates the practical advantages of test-driven development (TDD) with Python and describes how to develop a real web application. You'll learn how to write and run tests before building each part of your app and then develop the minimum amount of code required to pass those tests. The result? Clean code that works. In the process, author Harry Percival teaches software and web developers the basics of Django, Selenium, Git, JavaScript, and Mock libraries, along with current web development techniques. This book--updated for Python 3.14 and Django 4--clearly demonstrates how TDD encourages simple designs and inspires confidence. Fully updated, this third edition addresses: The TDD workflow, including the unit test/code cycle and refactoring Unit tests for classes and functions and functional tests for user interactions within the browser Mock objects and the pros and cons of isolated versus integrated tests Testing and automation of deployments with a staging server Tests applied to the third-party plug-ins you integrate into your site Automatic tests using a continuous integration environment Using TDD to build a REST API with a JavaScript frontend interface
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Network Security Through Data Analysis
Traditional intrusion detection and logfile analysis are no longer enough to protect today’s complex networks. In the updated second edition of this practical guide, security researcher Michael Collins shows InfoSec personnel the latest techniques and tools for collecting and analyzing network traffic datasets. You’ll understand how your network is used, and what actions are necessary to harden and defend the systems within it. In three sections, this book examines the process of collecting and organizing data, various tools for analysis, and several different analytic scenarios and techniques. New chapters focus on active monitoring and traffic manipulation, insider threat detection, data mining, regression and machine learning, and other topics. You’ll learn how to: Use sensors to collect network, service, host, and active domain data Work with the SiLK toolset, Python, and other tools and techniques for manipulating data you collect Detect unusual phenomena through exploratory data analysis (EDA), using visualization and mathematical techniques Analyze text data, traffic behavior, and communications mistakes Identify significant structures in your network with graph analysis Examine insider threat data and acquire threat intelligence Map your network and identify significant hosts within it Work with operations to develop defenses and analysis techniques
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Web Application Security
In the first edition of this critically acclaimed book, Andrew Hoffman defined the three pillars of application security: reconnaissance, offense, and defense. In this revised and updated second edition, he examines dozens of related topics, from the latest types of attacks and mitigations to threat modeling, the secure software development lifecycle (SSDL/SDLC), and more.Hoffman, senior staff security engineer at Ripple, also provides information regarding exploits and mitigations for several additional web application technologies such as GraphQL, cloud-based deployments, content delivery networks (CDN) and server-side rendering (SSR). Following the curriculum from the first book, this second edition is split into three distinct pillars comprising three separate skill sets:Pillar 1: Recon—Learn techniques for mapping and documenting web applications remotely, including procedures for working with web applicationsPillar 2: Offense—Explore methods for attacking web applications using a number of highly effective exploits that have been proven by the best hackers in the world. These skills are valuable when used alongside the skills from Pillar 3.Pillar 3: Defense—Build on skills acquired in the first two parts to construct effective and long-lived mitigations for each of the attacks described in Pillar 2.
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Wireshark for Security Professionals
Master Wireshark to solve real-world security problems If you don’t already use Wireshark for a wide range of information security tasks, you will after this book. Mature and powerful, Wireshark is commonly used to find root cause of challenging network issues. This book extends that power to information security professionals, complete with a downloadable, virtual lab environment. Wireshark for Security Professionals covers both offensive and defensive concepts that can be applied to essentially any InfoSec role. Whether into network security, malware analysis, intrusion detection, or penetration testing, this book demonstrates Wireshark through relevant and useful examples. Master Wireshark through both lab scenarios and exercises. Early in the book, a virtual lab environment is provided for the purpose of getting hands-on experience with Wireshark. Wireshark is combined with two popular platforms: Kali, the security-focused Linux distribution, and the Metasploit Framework, the open-source framework for security testing. Lab-based virtual systems generate network traffic for analysis, investigation and demonstration. In addition to following along with the labs you will be challenged with end-of-chapter exercises to expand on covered material. Lastly, this book explores Wireshark with Lua, the light-weight programming language. Lua allows you to extend and customize Wireshark’s features for your needs as a security professional. Lua source code is available both in the book and online. Lua code and lab source code are available online through GitHub, which the book also introduces. The book’s final two chapters greatly draw on Lua and TShark, the command-line interface of Wireshark. By the end of the book you will gain the following: Master the basics of WiresharkExplore the virtual w4sp-lab environment that mimics a real-world networkGain experience using the Debian-based Kali OS among other systemsUnderstand the technical details behind network attacksExecute exploitation and grasp offensive and defensive activities, exploring them through WiresharkEmploy Lua to extend Wireshark features and create useful scripts To sum up, the book content, labs and online material, coupled with many referenced sources of PCAP traces, together present a dynamic and robust manual for information security professionals seeking to leverage Wireshark.
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10 Machine Learning Blueprints You Should Know for Cybersecurity
Work on 10 practical projects, each with a blueprint for a different machine learning technique, and apply them in the real world to fight against cybercrimePurchase of the print or Kindle book includes a free PDF eBookKey FeaturesLearn how to frame a cyber security problem as a machine learning problemExamine your model for robustness against adversarial machine learningBuild your portfolio, enhance your resume, and ace interviews to become a cybersecurity data scientistBook DescriptionMachine learning in security is harder than other domains because of the changing nature and abilities of adversaries, high stakes, and a lack of ground-truth data. This book will prepare machine learning practitioners to effectively handle tasks in the challenging yet exciting cybersecurity space.The book begins by helping you understand how advanced ML algorithms work and shows you practical examples of how they can be applied to security-specific problems with Python – by using open source datasets or instructing you to create your own. In one exercise, you’ll also use GPT 3.5, the secret sauce behind ChatGPT, to generate an artificial dataset of fabricated news. Later, you’ll find out how to apply the expert knowledge and human-in-the-loop decision-making that is necessary in the cybersecurity space. This book is designed to address the lack of proper resources available for individuals interested in transitioning into a data scientist role in cybersecurity. It concludes with case studies, interview questions, and blueprints for four projects that you can use to enhance your portfolio.By the end of this book, you’ll be able to apply machine learning algorithms to detect malware, fake news, deep fakes, and more, along with implementing privacy-preserving machine learning techniques such as differentially private ML.What you will learnUse GNNs to build feature-rich graphs for bot detection and engineer graph-powered embeddings and featuresDiscover how to apply ML techniques in the cybersecurity domainApply state-of-the-art algorithms such as transformers and GNNs to solve security-related issuesLeverage ML to solve modern security issues such as deep fake detection, machine-generated text identification, and stylometric analysisApply privacy-preserving ML techniques and use differential privacy to protect user data while training ML modelsBuild your own portfolio with end-to-end ML projects for cybersecurityWho this book is forThis book is for machine learning practitioners interested in applying their skills to solve cybersecurity issues. Cybersecurity workers looking to leverage ML methods will also find this book useful. An understanding of the fundamental machine learning concepts and beginner-level knowledge of Python programming are needed to grasp the concepts in this book. Whether you’re a beginner or an experienced professional, this book offers a unique and valuable learning experience that’ll help you develop the skills needed to protect your network
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Hacking Exposed Unified Communications & VoIP Security Secrets & Solutions, Second Edition
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.The latest techniques for averting UC disaster“This book is a must-read for any security professional responsible for VoIP or UC infrastructure. This new edition is a powerful resource that will help you keep your communications systems secure.” —Dan York, Producer and Co-Host, Blue Box: The VoIP Security Podcast“The original edition, Hacking Exposed: Voice over IP Secrets & Solutions, provided a valuable resource for security professionals. But since then, criminals abusing VoIP and UC have become more sophisticated and prolific, with some high-profile cases ringing up huge losses. This book is a welcome update that covers these new threats with practical examples, showing the exact tools in use by the real attackers.” —Sandro Gauci, Penetration Tester and Security Researcher, Author of SIPVicious“Powerful UC hacking secrets revealed within. An outstanding and informative book. Hacking Exposed: Unified Communications & VoIP Security Secrets & Solutions walks the reader through powerful yet practical offensive security techniques and tools for UC hacking, which then informs defense for threat mitigation. The authors do an excellent job of weaving case studies and real-world attack scenarios with useful references. This book is essential for not only IT managers deploying UC, but also for security practitioners responsible for UC security.” —Jason Ostrom, UC Security Researcher, Stora SANS Institute, co-author, SEC540 class“After reading Hacking Exposed: Unified Communications & VoIP Security Secrets & Solutions, I was saddened to not have had this book published years ago. The amount of time and money I could have saved myself, and my clients, would have been enormous. Being a professional in an ITSP/MSP, I know firsthand the complexities and challenges involved with auditing, assessing, and securing VoIP-based networks. From the carrier level, right down to the managed PBX level, and everything in between, Hacking Exposed: Unified Communications & VoIP Security Secrets & Solutions is a de facto must-have book. For those learning VoIP security to those heavily involved in any VoIP-related capacity, this book is worth its weight in gold.” —J. Oquendo, Lead Security Engineer, E–Fensive Security Strategies“Hacking Exposed: Unified Communications & VoIP Security Secrets & Solutions, includes more sophisticated attack vectors focused on UC and NGN. The authors describe in depth many new tools and techniques such as TDoS and UC interception. Using these techniques, you will learn how you can identify the security problems of VoIP/UC. This book is a masterpiece.” —Fatih Ozavci, Senior Security Consultant at Sense of Security, Author of viproy“This book provides you with the knowledge you need to understand VoIP threats in reality. No doom and gloom, overhyped, never to
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Offensive and Defensive Cyber Security Strategies
The aim of this book is to explore the definitions and fundamentals of offensive security vs defensive Security and describe the different tools and technologies for protecting against cyber threats. The book offers strategies of a practical aspects of cybersecurity and covers the main disciplines needed to understand cybersecurity and demonstrates ethical and legal concepts of cyber activities. It presents important concepts relevant for cybersecurity strategies, including the concept of cybercrime, cyber defence, protection of IT systems and analysis of risks.
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Mastering Defensive Security
An immersive learning experience enhanced with technical, hands-on labs to understand the concepts, methods, tools, platforms, and systems required to master the art of cybersecurityKey FeaturesGet hold of the best defensive security strategies and toolsDevelop a defensive security strategy at an enterprise levelGet hands-on with advanced cybersecurity threat detection, including XSS, SQL injections, brute forcing web applications, and moreBook DescriptionEvery organization has its own data and digital assets that need to be protected against an ever-growing threat landscape that compromises the availability, integrity, and confidentiality of crucial data. Therefore, it is important to train professionals in the latest defensive security skills and tools to secure them. Mastering Defensive Security provides you with in-depth knowledge of the latest cybersecurity threats along with the best tools and techniques needed to keep your infrastructure secure.The book begins by establishing a strong foundation of cybersecurity concepts and advances to explore the latest security technologies such as Wireshark, Damn Vulnerable Web App (DVWA), Burp Suite, OpenVAS, and Nmap, hardware threats such as a weaponized Raspberry Pi, and hardening techniques for Unix, Windows, web applications, and cloud infrastructures. As you make progress through the chapters, you'll get to grips with several advanced techniques such as malware analysis, security automation, computer forensics, and vulnerability assessment, which will help you to leverage pentesting for security.By the end of this book, you'll have become familiar with creating your own defensive security tools using IoT devices and developed advanced defensive security skills.What you will learnBecome well versed with concepts related to defensive securityDiscover strategies and tools to secure the most vulnerable factor – the userGet hands-on experience using and configuring the best security toolsUnderstand how to apply hardening techniques in Windows and Unix environmentsLeverage malware analysis and forensics to enhance your security strategySecure Internet of Things (IoT) implementationsEnhance the security of web applications and cloud deploymentsWho this book is forThis book is for all IT professionals who want to take their first steps into the world of defensive security; from system admins and programmers to data analysts and data scientists with an interest in security. Experienced cybersecurity professionals working on broadening their knowledge and keeping up to date with the latest defensive developments will also find plenty of useful information in this book. You'll need a basic understanding of networking, IT, servers, virtualization, and cloud platforms before you get started with this book.
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Offensive and Defensive Cyber Security Strategies
The aim of this book is to explore the definitions and fundamentals of offensive security vs defensive Security and describe the different tools and technologies for protecting against cyber threats. The book offers strategies of a practical aspects of cybersecurity and covers the main disciplines needed to understand cybersecurity and demonstrates ethical and legal concepts of cyber activities. It presents important concepts relevant for cybersecurity strategies, including the concept of cybercrime, cyber defence, protection of IT systems and analysis of risks.
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Automating Security Detection Engineering
Accelerate security detection development with AI-enabled technical solutions using threat-informed defenseKey FeaturesCreate automated CI/CD pipelines for testing and implementing threat detection use casesApply implementation strategies to optimize the adoption of automated work streamsUse a variety of enterprise-grade tools and APIs to bolster your detection programPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionToday's global enterprise security programs grapple with constantly evolving threats. Even though the industry has released abundant security tools, most of which are equipped with APIs for integrations, they lack a rapid detection development work stream. This book arms you with the skills you need to automate the development, testing, and monitoring of detection-based use cases.You’ll start with the technical architecture, exploring where automation is conducive throughout the detection use case lifecycle. With the help of hands-on labs, you’ll learn how to utilize threat-informed defense artifacts and then progress to creating advanced AI-powered CI/CD pipelines to bolster your Detection as Code practices. Along the way, you'll develop custom code for EDRs, WAFs, SIEMs, CSPMs, RASPs, and NIDS. The book will also guide you in developing KPIs for program monitoring and cover collaboration mechanisms to operate the team with DevSecOps principles. Finally, you'll be able to customize a Detection as Code program that fits your organization's needs.By the end of the book, you'll have gained the expertise to automate nearly the entire use case development lifecycle for any enterprise.What you will learnUnderstand the architecture of Detection as Code implementationsDevelop custom test functions using Python and TerraformLeverage common tools like GitHub and Python 3.x to create detection-focused CI/CD pipelinesIntegrate cutting-edge technology and operational patterns to further refine program efficacyApply monitoring techniques to continuously assess use case healthCreate, structure, and commit detections to a code repositoryWho this book is forThis book is for security engineers and analysts responsible for the day-to-day tasks of developing and implementing new detections at scale. If you’re working with existing programs focused on threat detection, you’ll also find this book helpful. Prior knowledge of DevSecOps, hands-on experience with any programming or scripting languages, and familiarity with common security practices and tools are recommended for an optimal learning experience.
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Windows System Security Foundations
Whether you're a student, a career changer, or an early-career professional, this book offers a practical, hands-on introduction to Windows security fundamentals from both offensive and defensive perspectives. With over 100 exercises designed to reinforce key concepts, readers will gain real-world experience in securing domain-joined and stand-alone Windows systems.The journey begins with PowerShell--an essential tool for both administrators and attackers. You'll learn how PowerShell history is recorded, how credentials are managed, and how scripts can be obfuscated or monitored. From there, the book explores Windows users and groups, the logon process, access tokens, and User Account Control (UAC), providing a clear understanding of how Windows manages identity and privilege.Readers will dive into password hash storage and cracking techniques using tools like John the Ripper, and explore how rights and privileges are assigned through group memberships. The book also covers the Windows file system in depth, including symbolic links, alternate data streams, and the Mark of the Web, along with techniques for managing file permissions and discretionary access control lists (DACLs).You'll gain insight into Windows processes and services, learn how to view and manage them effectively, and understand key boot processes and process integrity. Each chapter builds practical skills that prepare you to think like both an attacker and a defender--essential for anyone entering the cybersecurity field.WHAT YOU WILL LEARN Hands-on experience with the security of domain-joined and stand-alone Windows systems.Create and manage local and domain users on a Windows system, will understand how and where their password hashes are stored, and be able to crack Windows passwords with John the Ripper.How Windows assigns privileges and rights to users and groups, including how access tokens are assigned and how they are used in User Account Control (UAC).How the Windows file system is organized, including shortcuts, symbolic links, junctions, alternate data streams, and the Mark of the Web; the reader will be able to view and manage file permissions and discretionary access control lists (DACLs).How to view and manage processes and services in Windows. WHO THIS BOOK IS FOR: Ideal for computer science students, early-career professionals, and career changers looking to build a strong foundation in Windows security. Whether used in the classroom or for self-study, this book equips readers with the hands-on experience needed to succeed in cybersecurity.
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Python
This book is an introduction to programming concepts that uses Python 3 as the target language. It follows a practical just in time presentation – material is given to the student when it is needed. Many examples will be based on games because Python has become the language of choice for basic game development. Designed as a year 1 textbook for introduction to programming classes or for the hobbyist who wants to learn the fundamentals of programming, the text assumes no programming experience.FEATURES:Introduces programming concepts using Python 3.Covers basic computer concepts such as loops, strings, functions, files, graphics, multimedia, algorithms, classes, writing code, etc. Develops graphics, exercises, and user interface using Pygame.Includes many examples based on video game development.4 color throughout with game demos on the companion files.New chapters on parsing (14) and graphics (15).Instructor ancillaries for use as a textbook.
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Learning Serverless Security
Despite the increased adoption of serverless computing services around the world, a big gap still exists when it comes to serverless security knowledge and expertise. This gap comes with a steep price: the increased risk of data breaches as more companies store their data in the cloud.This practical guide covers the relevant offensive and defensive security techniques to audit and secure serverless applications running on AWS, Azure, and Google Cloud. You'll learn how to attack and defend a variety of vulnerable serverless applications using the step-by-step instructions. By the end of this book, you'll have a solid understanding on how to prevent a variety of serverless application attacks and privilege escalation techniques.Author Joshua Arvin Lat, chief technology officer at NuWorks Interactive Labs and AWS Machine Learning Hero, shows you how to:Identify and exploit vulnerabilities within modern serverless applicationsPerform privilege escalation techniques in cloud environmentsUse automated tools and services for offensive and defensive securityConfigure authentication and identity services properly on AWS, Azure, and Google CloudImplement security strategies and best practices to prevent a variety of serverless application attacksAudit serverless environments using a variety of security tools and frameworks
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Generative AI in Cybersecurity
This book explores the most common generative AI (GenAI) tools and techniques used by malicious actors for hacking and cyber-deception, along with the security risks of large language models (LLMs). It also covers how LLM deployment and use can be secured, and how generative AI can be utilized in SOC automation. The rapid advancements and growing variety of publicly available generative AI tools enables cybersecurity use cases for threat modeling, security awareness support, web application scanning, actionable insights, and alert fatigue prevention. However, they also came with a steep rise in the number of offensive/rogue/malicious generative AI applications. With large language models, social engineering tactics can reach new heights in the efficiency of phishing campaigns and cyber-deception via synthetic media generation (misleading deepfake images and videos, faceswapping, morphs, and voice clones). The result is a new era of cybersecurity that necessitates innovative approaches to detect and mitigate sophisticated cyberattacks, and to prevent hyper-realistic cyber-deception. This work provides a starting point for researchers and students diving into malicious chatbot use, system administrators trying to harden the security of GenAI deployments, and organizations prone to sensitive data leak through shadow AI. It also benefits SOC analysts considering generative AI for partially automating incident detection and response, and GenAI vendors working on security guardrails against malicious prompting.
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Introduction to Python Programming for Scientists and Engineers
Python is one of the most popular programming languages, widely used for data analysis and modelling, and is fast becoming the leading choice for scientists and engineers. Unlike other textbooks introducing Python, typically organised by language syntax, this book uses many examples from across Biology, Chemistry, Physics, Earth science, and Engineering to teach and motivate students in science and engineering. The text is organised by the tasks and workflows students undertake day-to-day, helping them see the connections between programming tools and their disciplines. The pace of study is carefully developed for complete beginners, and a spiral pedagogy is used so concepts are introduced across multiple chapters, allowing readers to engage with topics more than once. “Try This!” exercises and online Jupyter notebooks encourage students to test their new knowledge, and further develop their programming skills. Online solutions are available for instructors, alongside discipline-specific homework problems across the sciences and engineering.
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Art of War for Computer Security
In this book the author draws inspiration from Sun Tzu's Art of War, a work that explains conflict between nations, and he applies this to the computer security setting, examining how we should consider protecting information systems from accidents or malicious attacks. The author first briefly introduces Sun Tzu. Then each chapter in the book takes its inspiration from an original title in The Art of War, where the author offers a general introduction to the content and then describes its application in a cybersecurity setting. These chapters cover estimates; waging war; offensive strategy; how you prepare for an attack; energy; weaknesses and strengths; the variables that need consideration before embarking on a war; how infrastructure is related to the concept of ground; attack by fire or how skilled attackers hide behind noise; and employing secret agents.The book will be interesting for computer security researchers and professionals who would like some grounding in a security mindset.
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Hacker's Guide to Scaling Python
Python is an excellent programming language that allows to write applications quickly. But how do you make those applications scale for thousands of users and requests? It takes years of practice, research, trial and errors to build experience and knowledge along the way. Simple questions such as ""How do I make my code faster?,"" ""How do I make sure there is no bottleneck?"" or ""How do I run this application on several computers?"" cost hours to find satisfying answers. Without enough background on the topic, you'll never be sure that any solution you'll come up with will be correct. In The Hacker's Guide to Scaling Python, you will learn how to solve these issues. This book provides guidelines, tips and best practice on how to build high performing Python applications. Adding a few interview of experts on the subject, you will learn how you can distribute your Python application so it can process thousands of requests.
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Python Network Programming
Power up your network applications with Python programmingKey FeaturesMaster Python skills to develop powerful network applicationsGrasp the fundamentals and functionalities of SDNDesign multi-threaded, event-driven architectures for echo and chat serversBook DescriptionThis Learning Path highlights major aspects of Python network programming such as writing simple networking clients, creating and deploying SDN and NFV systems, and extending your network with Mininet. You’ll also learn how to automate legacy and the latest network devices. As you progress through the chapters, you’ll use Python for DevOps and open source tools to test, secure, and analyze your network. Toward the end, you'll develop client-side applications, such as web API clients, email clients, SSH, and FTP, using socket programming.By the end of this Learning Path, you will have learned how to analyze a network's security vulnerabilities using advanced network packet capture and analysis techniques. This Learning Path includes content from the following Packt products:Practical Network Automation by Abhishek RatanMastering Python Networking by Eric ChouPython Network Programming Cookbook, Second Edition by Pradeeban Kathiravelu, Dr. M. O. Faruque SarkerWhat you will learnCreate socket-based networks with asynchronous modelsDevelop client apps for web APIs, including S3 Amazon and TwitterTalk to email and remote network servers with different protocolsIntegrate Python with Cisco, Juniper, and Arista eAPI for automationUse Telnet and SSH connections for remote system monitoringInteract with websites via XML-RPC, SOAP, and REST APIsBuild networks with Ryu, OpenDaylight, Floodlight, ONOS, and POXConfigure virtual networks in different deployment environmentsWho this book is forIf you are a Python developer or a system administrator who wants to start network programming, this Learning Path gets you a step closer to your goal. IT professionals and DevOps engineers who are new to managing network devices or those with minimal experience looking to expand their knowledge and skills in Python will also find this Learning Path useful. Although prior knowledge of networking is not required, some experience in Python programming will be helpful for a better understanding of the concepts in the Learning Path.
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Python for Experimental Psychologists
Python for Experimental Psychologists equips researchers who have no prior programming experience with the essential knowledge to independently script experiments and analyses in the programming language Python. The book offers an excellent introduction, whether you are an undergraduate, a PhD candidate, or an established researcher.This updated edition is on Python 3 (the most current version). It starts by teaching the fundamentals of programming in Python, and then offers several chapters on scripting experiments (displaying stimuli, obtaining and logging user input, precision timing, etc.) using the popular PsychoPy package. The remainder of the book is dedicated to data analysis, and includes chapters on reading/writing to text files, time series, eye tracking, data visualisation, and statistics.Access to a companion website enriches the learning experience with colour figures, example stimuli, datasets, scripts, and a portable Windows installation of Python. The book assumes no prior knowledge, and its informal and accessible tone helps readers with backgrounds in experimental psychology and cognitive neuroscience to quickly understand Python. It serves as a useful resource not only for researchers in these fields, but also for lecturers instructing on methodology and data analysis.Python for Experimental Psychologists demystifies programming complexities, and empowers researchers to proficiently conduct experiments and to analyse their results.
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