Mastering SAS Programming for Data Warehousing. An advanced programming guide to designing and managing Data Warehouses using SAS

Monika Wahi

SAS is used for various functions in the development and maintenance of data warehouses, thanks to its reputation of being able to handle ’big data’.This book will help you learn the pros and cons of storing data in SAS. As you progress, you’ll understand how to document and design extract-transform-load (ETL) protocols for SAS processes. Later, you’ll focus on how the use of SAS arrays and macros can help standardize ETL. The book will also help you examine approaches for serving up data using SAS and explore how connecting SAS to other systems can enhance the data warehouse user’s experience.By the end of this data management book, you will have a fundamental understanding of the roles SAS can play in a warehouse environment, and be able to choose wisely when designing your data warehousing processes involving SAS.

Hands-On Ethical Hacking Tactics. Strategies, tools, and techniques for effective cyber defense

Shane Hartman, Ken Dunham

If you’re an ethical hacker looking to boost your digital defenses and stay up to date with the evolving cybersecurity landscape, then this book is for you. Hands-On Ethical Hacking Tactics is a comprehensive guide that will take you from fundamental to advanced levels of ethical hacking, offering insights into both offensive and defensive techniques. Written by a seasoned professional with 20+ years of experience, this book covers attack tools, methodologies, and procedures, helping you enhance your skills in securing and defending networks.The book starts with foundational concepts such as footprinting, reconnaissance, scanning, enumeration, vulnerability assessment, and threat modeling. Next, you’ll progress to using specific tools and procedures for hacking Windows, Unix, web servers, applications, and databases. The book also gets you up to speed with malware analysis. Throughout the book, you’ll experience a smooth transition from theoretical concepts to hands-on techniques using various platforms. Finally, you’ll explore incident response, threat hunting, social engineering, IoT hacking, and cloud exploitation, which will help you address the complex aspects of ethical hacking.By the end of this book, you’ll have gained the skills you need to navigate the ever-changing world of cybersecurity.

Machine Learning for Finance. Principles and practice for financial insiders

Jannes Klaas

Machine Learning for Finance explores new advances in machine learning and shows how they can be applied across the financial sector, including insurance, transactions, and lending. This book explains the concepts and algorithms behind the main machine learning techniques and provides example Python code for implementing the models yourself.The book is based on Jannes Klaas’ experience of running machine learning training courses for financial professionals. Rather than providing ready-made financial algorithms, the book focuses on advanced machine learning concepts and ideas that can be applied in a wide variety of ways.The book systematically explains how machine learning works on structured data, text, images, and time series. You'll cover generative adversarial learning, reinforcement learning, debugging, and launching machine learning products. Later chapters will discuss how to fight bias in machine learning. The book ends with an exploration of Bayesian inference and probabilistic programming.

scikit-learn: Machine Learning Simplified. Implement scikit-learn into every step of the data science pipeline

Guillermo Moncecchi, Raul G Tompson, Trent Hauck, Gavin Hackeling

Machine learning, the art of creating applications that learn from experience and data, has been around for many years. Python is quickly becoming the go-to language for analysts and data scientists due to its simplicity and flexibility; moreover, within the Python data space, scikit-learn is the unequivocal choice for machine learning. The course combines an introduction to some of the main concepts and methods in machine learning with practical, hands-on examples of real-world problems. The course starts by walking through different methods to prepare your data—be it a dataset with missing values or text columns that require the categories to be turned into indicator variables. After the data is ready, you'll learn different techniques aligned with different objectives—be it a dataset with known outcomes such as sales by state, or more complicated problems such as clustering similar customers. Finally, you'll learn how to polish your algorithm to ensure that it's both accurate and resilient to new datasets. You will learn to incorporate machine learning in your applications. Ranging from handwritten digit recognition to document classification, examples are solved step-by-step using scikit-learn and Python. By the end of this course you will have learned how to build applications that learn from experience, by applying the main concepts and techniques of machine learning.

Tkinter GUI Application Development Blueprints. Master GUI programming in Tkinter as you design, implement, and deliver 10 real-world applications

Bhaskar Chaudhary

Tkinter is the built-in GUI package that comes with standard Python distributions. It is a cross-platform package, which means you build once and deploy everywhere. It is simple to use and intuitive in nature, making it suitable for programmers and non-programmers alike. This book will help you master the art of GUI programming. It delivers the bigger picture of GUI programming by building real-world, productive, and fun applications such as a text editor, drum machine, game of chess, media player, drawing application, chat application, screen saver, port scanner, and many more. In every project, you will build on the skills acquired in the previous project and gain more expertise. You will learn to write multithreaded programs, network programs, database driven programs and more. You will also get to know the modern best practices involved in writing GUI apps. With its rich source of sample code, you can build upon the knowledge gained with this book and use it in your own projects in the discipline of your choice.

Learn Computer Forensics. A beginner's guide to searching, analyzing, and securing digital evidence

William Oettinger

A computer forensics investigator must possess a variety of skills, including the ability to answer legal questions, gather and document evidence, and prepare for an investigation. This book will help you get up and running with using digital forensic tools and techniques to investigate cybercrimes successfully. Starting with an overview of forensics and all the open source and commercial tools needed to get the job done, you'll learn core forensic practices for searching databases and analyzing data over networks, personal devices, and web applications. You'll then learn how to acquire valuable information from different places, such as filesystems, e-mails, browser histories, and search queries, and capture data remotely. As you advance, this book will guide you through implementing forensic techniques on multiple platforms, such as Windows, Linux, and macOS, to demonstrate how to recover valuable information as evidence. Finally, you'll get to grips with presenting your findings efficiently in judicial or administrative proceedings.By the end of this book, you'll have developed a clear understanding of how to acquire, analyze, and present digital evidence like a proficient computer forensics investigator.

The Natural Language Processing Workshop. Confidently design and build your own NLP projects with this easy-to-understand practical guide

Rohan Chopra, Aniruddha M. Godbole, Nipun Sadvilkar, Muzaffar Bashir Shah, ...

Do you want to learn how to communicate with computer systems using Natural Language Processing (NLP) techniques, or make a machine understand human sentiments? Do you want to build applications like Siri, Alexa, or chatbots, even if you’ve never done it before?With The Natural Language Processing Workshop, you can expect to make consistent progress as a beginner, and get up to speed in an interactive way, with the help of hands-on activities and fun exercises.The book starts with an introduction to NLP. You’ll study different approaches to NLP tasks, and perform exercises in Python to understand the process of preparing datasets for NLP models. Next, you’ll use advanced NLP algorithms and visualization techniques to collect datasets from open websites, and to summarize and generate random text from a document. In the final chapters, you’ll use NLP to create a chatbot that detects positive or negative sentiment in text documents such as movie reviews.By the end of this book, you’ll be equipped with the essential NLP tools and techniques you need to solve common business problems that involve processing text.

Instant jQuery Selectors. Learn how to master the art of effectively using jQuery's selectors

Aurelio De Rosa

jQuery's selectors is one of the most important concepts of the jQuery library. Usually, the first thing you do is to select one or more elements of a page in order to manipulate them. Therefore, to efficiently learn the usage of jQuery's selectors is one of the first steps to successfully build your website.Instant jQuery Selectors is a practical guide that will teach you how to use jQuery's selectors efficiently in order to easily select theelements of your pages to operate upon with jQuery's methods. You will go through the most common problems that you could face while developing your project and will learn how to solve them with the help of focused examples that Instant jQuery Selectors has to offer.Instant jQuery Selectors, starting from how to set up jQuery and how to choose the right version for your project, explains to you all the selectors available using a multitude of simple and practical recipes that will help you start using selectors in the right way. Reading the presented recipes you'll learn about the numerous selectors and filters of jQuery – almost 100 of them! You will see how to reuse collections, the methods to filter collections, and how to take advantage of the lesser known parameter of jQuery's constructor: context. Also, you'll discover the methods to traverse the DOM and the techniques to improve the performance of your website by just tweaking selectors.Instant jQuery Selectors is the resource to learn everything you need to know about jQuery's selectors.