Python for Finance Cookbook. Over 80 powerful recipes for effective financial data analysis - Second Edition

Eryk Lewinson

Python is one of the most popular programming languages in the financial industry, with a huge collection of accompanying libraries. In this new edition of the Python for Finance Cookbook, you will explore classical quantitative finance approaches to data modeling, such as GARCH, CAPM, factor models, as well as modern machine learning and deep learning solutions.You will use popular Python libraries that, in a few lines of code, provide the means to quickly process, analyze, and draw conclusions from financial data. In this new edition, more emphasis was put on exploratory data analysis to help you visualize and better understand financial data. While doing so, you will also learn how to use Streamlit to create elegant, interactive web applications to present the results of technical analyses.Using the recipes in this book, you will become proficient in financial data analysis, be it for personal or professional projects. You will also understand which potential issues to expect with such analyses and, more importantly, how to overcome them.

The Complete Guide to DAZ Studio 4. Bring your 3D characters to life with DAZ Studio

Paolo Ciccone

¬ŃWhile 3D technology can be intimidating, DAZ Studio provides a perfect entry point for anybody interested in it. DAZ Studio is designed to empower the readers with tools to manipulate ready to use models and figures. With DAZ Studio, you can use thousands of pre-made 3D models and create fantastic scenes without any hassle. Embark on a journey through the amazing world of 3Ddesigning and create great 3D art with DAZ Studio. This book will show you the way!The Complete Guide to DAZ Studio 4 shows you how to effectively use DAZ Studio 4 from start to finish. This guide takes you on a fun journey into the world of 3D art with DAZ Studio. Using everyday situations and practical examples, this book leads you from understanding the basics of 3D to the exploration of all the relevant topics, including posing, lighting, rendering, and content installation. You will follow step-by-step examples that will show you how to create great 3D art with fun and ease.With a free download code for Dawn: the brand new and hugely anticipated 3D figure by Hivewire3D and two free environments by renowned 3D artist Jack Tomalin, this book is a must-read for all aspiring 3D artists.

IoT and Edge Computing for Architects. Implementing edge and IoT systems from sensors to clouds with communication systems, analytics, and security - Second Edition

Perry Lea

Industries are embracing IoT technologies to improve operational expenses, product life, and people's well-being. An architectural guide is needed if you want to traverse the spectrum of technologies needed to build a successful IoT system, whether that's a single device or millions of IoT devices.IoT and Edge Computing for Architects, 2E encompasses the entire spectrum of IoT solutions, from IoT sensors to the cloud. It examines modern sensor systems, focusing on their power and functionality. It also looks at communication theory, paying close attention to near-range PAN, including the new Bluetooth® 5.0 specification and mesh networks. Then, the book explores IP-based communication in LAN and WAN, including 802.11ah, 5G LTE cellular, Sigfox, and LoRaWAN. It also explains edge computing, routing and gateways, and their role in fog computing, as well as the messaging protocols of MQTT 5.0 and CoAP.With the data now in internet form, you'll get an understanding of cloud and fog architectures, including the OpenFog standards. The book wraps up the analytics portion with the application of statistical analysis, complex event processing, and deep learning models. The book then concludes by providing a holistic view of IoT security, cryptography, and shell security in addition to software-defined perimeters and blockchains.

The Cloud Computing Journey. Design and deploy resilient and secure multi-cloud systems with practical guidance

Divit Gupta, Rohit Rahi

As the need for digital transformation and remote work surges, so does the demand for cloud computing. However, the complexity of cloud architecture and the abundance of vendors and tools can be overwhelming for businesses. This book addresses the need for skilled professionals capable of designing, building, and managing scalable and resilient cloud systems to navigate the complex landscape of cloud computing through practical tips and strategies.This comprehensive cloud computing guide offers expertise and best practices for evaluating different cloud vendors and tools. Once you’ve gained a thorough understanding of cloud computing basics, you’ll delve deeper into cloud architecture, its design, and implementation. Armed with this expert insight, businesses can avoid costly mistakes, ensure that their cloud systems are secure and compliant, and build cloud systems that can adapt and grow with the business.By the end of this book, you’ll be proficient in leveraging different vendors and tools to build robust and secure cloud systems to achieve specific goals and meet business requirements.

Codeless Deep Learning with KNIME. Build, train, and deploy various deep neural network architectures using KNIME Analytics Platform

KNIME AG, Kathrin Melcher, Rosaria Silipo

KNIME Analytics Platform is an open source software used to create and design data science workflows. This book is a comprehensive guide to the KNIME GUI and KNIME deep learning integration, helping you build neural network models without writing any code. It’ll guide you in building simple and complex neural networks through practical and creative solutions for solving real-world data problems.Starting with an introduction to KNIME Analytics Platform, you’ll get an overview of simple feed-forward networks for solving simple classification problems on relatively small datasets. You’ll then move on to build, train, test, and deploy more complex networks, such as autoencoders, recurrent neural networks (RNNs), long short-term memory (LSTM), and convolutional neural networks (CNNs). In each chapter, depending on the network and use case, you’ll learn how to prepare data, encode incoming data, and apply best practices.By the end of this book, you’ll have learned how to design a variety of different neural architectures and will be able to train, test, and deploy the final network.

Julia 1.0 Programming. Dynamic and high-performance programming to build fast scientific applications - Second Edition

Ivo Balbaert

The release of Julia 1.0 is now ready to change the technical world by combining the high productivity and ease of use of Python and R with the lightning-fast speed of C++. Julia 1.0 programming gives you a head start in tackling your numerical and data problems. You will begin by learning how to set up a running Julia platform, before exploring its various built-in types. With the help of practical examples, this book walks you through two important collection types: arrays and matrices. In addition to this, you will be taken through how type conversions and promotions work. In the course of the book, you will be introduced to the homo-iconicity and metaprogramming concepts in Julia. You will understand how Julia provides different ways to interact with an operating system, as well as other languages, and then you'll discover what macros are. Once you have grasped the basics, you’ll study what makes Julia suitable for numerical and scientific computing, and learn about the features provided by Julia. By the end of this book, you will also have learned how to run external programs. This book covers all you need to know about Julia in order to leverage its high speed and efficiency for your applications.

VMware ThinApp 4.7 Essentials. Learn how to quickly and efficiently virtualize your applications with ThinApp 4.7 with this book and

Peter Bjork

VMware ThinApp 4.7 is an application virtualization and portable application creator which allows users to package conventional applications so that they are portable.VMware ThinApp 4.7 Essentials shows you how to deploy ThinApp packages in order to improve the portability, manageability and compatibility of applications by encapsulating them from the underlying operating system on which they are executed.Application virtualization improves the portability, manageability and compatibility of applications by encapsulating them from the underlying operating system on which they are executed.VMware ThinApp 4.7 is an application virtualization and portable application creator which allows users to package conventional applications so that they are portable. ThinApp eliminates application conflicts, reducing the need and cost of recoding and regression testing.In this book you will learn about how application virtualization works and how to deploy ThinApp packages. You will learn how to update and tweak ThinApp Projects before distribution. This book will then cover design and implementation considerations for future ThinApp projects.

Security Automation with Python. Practical Python solutions for automating and scaling security operations

Corey Charles Sr., Frank McMahon

Designed to address the most common pain point for security teams—scalability—Security Automation with Python leverages the author’s years of experience in vulnerability management to provide you with actionable guidance on automating security workflows to streamline your operations and improve your organization’s overall security posture.What makes this book stand out is its hands-on approach. You won’t just learn theoretical concepts—you’ll apply Python-based automation techniques directly to real-world scenarios. Whether you're automating vulnerability scans, managing firewall rules, or responding to security incidents, this book provides clear examples and use cases, breaking down complex topics into easily digestible steps. With libraries like Paramiko, Requests, and PyAutoGUI, you’ll automate everything from network scanning and threat intelligence gathering to system patching and alert management. Plus, this book focuses heavily on practical tips for error handling, scaling automation workflows, and integrating Python scripts into larger security infrastructures.By the end of this book, you'll have developed a set of highly valuable skills, from creating custom automation scripts to deploying them in production environments, and completed projects that can be immediately put to use in your organization.