Learning Go Programming. Click here to enter text

Vladimir Vivien, Parth Desai

The Go programming language has firmly established itself as a favorite for building complex and scalable system applications. Go offers a direct and practical approach to programming that let programmers write correct and predictable code using concurrency idioms and a full-featured standard library.This is a step-by-step, practical guide full of real world examples to help you get started with Go in no time at all. We start off by understanding the fundamentals of Go, followed by a detailed description of the Go data types, program structures and Maps. After this, you learn how to use Go concurrency idioms to avoid pitfalls and create programs that are exact in expected behavior. Next, you will be familiarized with the tools and libraries that are available in Go for writing and exercising tests, benchmarking, and code coverage. Finally, you will be able to utilize some of the most important features of GO such as, Network Programming and OS integration to build efficient applications. All the concepts are explained in a crisp and concise manner and by the end of this book; you would be able to create highly efficient programs that you can deploy over cloud.

Spring Cookbook. Over 100 hands-on recipes to build Spring web applications easily and efficiently

Jerome Jaglale, Murat Yilmaz, Jerome Jaglale

Python and SQL Bible. From Beginner to World Expert: Unleash the true potential of data analysis and manipulation

Cuantum Technologies LLC

Embark on a transformative journey with this course designed to equip you with robust Python and SQL skills. Starting with an introduction to Python, you'll delve into fundamental building blocks, control flow, functions, and object-oriented programming. As you progress, you'll master data structures, file I/O, exception handling, and the Python Standard Library, ensuring a solid foundation in Python.The course then transitions to SQL, beginning with an introduction and covering basics, and proceeding to advanced querying techniques. You'll learn about database administration and how Python integrates seamlessly with SQL, enhancing your data manipulation capabilities. By combining Python with SQLAlchemy, you'll perform advanced database operations and execute complex data analysis tasks, preparing you for real-world challenges.By the end of this course, you will have developed the expertise to utilize Python and SQL for scientific computing, data analysis, and database management. This comprehensive learning path ensures you can tackle diverse projects, from basic scripting to sophisticated data operations, making you a valuable asset in the tech industry. You'll also gain hands-on experience with real-world datasets, enhancing your problem-solving skills and boosting your confidence.

R Machine Learning By Example. Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully

Dipanjan Sarkar, Raghav Bali

Data science and machine learning are some of the top buzzwords in the technical world today. From retail stores to Fortune 500 companies, everyone is working hard to making machine learning give them data-driven insights to grow their business. With powerful data manipulation features, machine learning packages, and an active developer community, R empowers users to build sophisticated machine learning systems to solve real-world data problems.This book takes you on a data-driven journey that starts with the very basics of R and machine learning and gradually builds upon the concepts to work on projects that tackle real-world problems.You’ll begin by getting an understanding of the core concepts and definitions required to appreciate machine learning algorithms and concepts. Building upon the basics, you will then work on three different projects to apply the concepts of machine learning, following current trends and cover major algorithms as well as popular R packages in detail. These projects have been neatly divided into six different chapters covering the worlds of e-commerce, finance, and social-media, which are at the very core of this data-driven revolution. Each of the projects will help you to understand, explore, visualize, and derive insights depending upon the domain and algorithms.Through this book, you will learn to apply the concepts of machine learning to deal with data-related problems and solve them using the powerful yet simple language, R.

OpenCV for Secret Agents. Use OpenCV in six secret projects to augment your home, car, phone, eyesight, and any photo or drawing

Joseph Howse

Microsoft BizTalk Server 2010 Patterns. Create effective scalable solutions with BizTalk Server 2010 using this e-book

Dan Rosanova

Patterns and practices make or break any middleware or integration solution and are especially important with BizTalk Server 2010. Learning the best patterns to use in the appropriate context greatly increases the chances of success for any solution.Microsoft Biztalk server 2010 patterns will provide a thorough introduction to BizTalk Server 2010 as a platform and guide the reader through real world lessons and examples building an advanced unified solution that can be used as a reference architecture.This book will guide you beyond the basics of BizTalk Server 2010 development and give you the relevant background, theory, and techniques necessary to create successful solutions. You will learn how the BizTalk Server 2010 platform works internally and how to plan for the necessary infrastructure for an installation. You will learn how to build messaging-based solutions including content-based routing that are easy to manage and change. You will learn how to solve common integration and middleware challenges by leveraging the strengths of BizTalk Server 2010. This book addresses using Microsoft BizTalk Server 2010 and associated tools to create middleware and integration solutions with established patterns and practices that increase the effectiveness and impact of your solutions.

Getting Started with Beautiful Soup. Learn how to extract information from websites using Beautiful Soup and the Python urllib2 module. This practical, hands-on guide covers everything you need to know to get a head start in website scraping

Vineeth G. Nair, Vineeth G Nair

Beautiful Soup is a Python library designed for quick turnaround projects like screen-scraping. Beautiful Soup provides a few simple methods and Pythonic idioms for navigating, searching, and modifying a parse tree: a toolkit for dissecting a document and extracting what you need without writing excess code for an application. It doesn't take much code to write an application using Beautiful Soup.Getting Started with Beautiful Soup is a practical guide to Beautiful Soup using Python. The book starts by walking you through the installation of each and every feature of Beautiful Soup using simple examples which include sample Python codes as well as diagrams and screenshots wherever required for better understanding. The book discusses the problems of how exactly you can get data out of a website and provides an easy solution with the help of a real website and sample code.Getting Started with Beautiful Soup goes over the different methods to install Beautiful Soup in both Linux and Windows systems. You will then learn about searching, navigating, content modification, encoding support, and output formatting with the help of examples and sample Python codes for each example so that you can try them out to get a better understanding. This book is a practical guide for scraping information from any website. If you want to learn how to efficiently scrape pages from websites, then this book is for you.

The Foundations of Threat Hunting. Organize and design effective cyber threat hunts to meet business needs

Chad Maurice, Jeremy Thompson, William Copeland, Anthony Particini

Threat hunting is a concept that takes traditional cyber defense and spins it onto its head. It moves the bar for network defenses beyond looking at the known threats and allows a team to pursue adversaries that are attacking in novel ways that have not previously been seen. To successfully track down and remove these advanced attackers, a solid understanding of the foundational concepts and requirements of the threat hunting framework is needed. Moreover, to confidently employ threat hunting in a business landscape, the same team will need to be able to customize that framework to fit a customer’s particular use case.This book breaks down the fundamental pieces of a threat hunting team, the stages of a hunt, and the process that needs to be followed through planning, execution, and recovery. It will take you through the process of threat hunting, starting from understanding cybersecurity basics through to the in-depth requirements of building a mature hunting capability. This is provided through written instructions as well as multiple story-driven scenarios that show the correct (and incorrect) way to effectively conduct a threat hunt.By the end of this cyber threat hunting book, you’ll be able to identify the processes of handicapping an immature cyber threat hunt team and systematically progress the hunting capabilities to maturity.