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Podcasts
Splunk is a data collection, indexing, and visualization engine for operational intelligence. It's a powerful and versatile search and analysis engine that lets you investigate, troubleshoot, monitor, alert, and report on everything that's happening in your entire IT infrastructure from one location in real time. Splunk collects, indexes, and harnesses all the fast moving machine data generated by our applications, servers, and devices - physical, virtual, and in the cloud.Given a mountain of machine data, this book shows you exactly how to learn to use Splunk to make something useful from it. Depending on your needs, you can learn to search, transform, and display data, or learn to administer your Splunk installation, large or small. Implementing Splunk: Big Data Reporting and Development for Operational Intelligence will help you get your job done faster, whether you read from the beginning or jump to what you need to know today. New and experienced users alike will find nuggets of wisdom throughout.This book provides you with valuable examples and step-by-step instructions, showing you how to take advantage of everything Splunk has to offer you, to make the most out of your machine data.Implementing Splunk: Big Data Reporting and Development for Operational Intelligence takes you on a journey right from inception to a fully functioning implementation of Splunk. Using a real-world data walkthrough, you'll be shown how to search effectively, create fields, build dashboards, reports, and package apps, manage your indexes, integrate into the enterprise, and extend Splunk. This practical implementation guide equips you with high-level knowledge for configuring, deploying, extending, and integrating Splunk. Depending on the goal and skills of the reader, enough topics are covered to get you on your way to dashboard guru, app developer, or enterprise administrator. This book uses examples curates reference, and sage advice to help you make the most of this incredibly powerful tool.
The second edition of Mastering Python for Finance will guide you through carrying out complex financial calculations practiced in the industry of finance by using next-generation methodologies. You will master the Python ecosystem by leveraging publicly available tools to successfully perform research studies and modeling, and learn to manage risks with the help of advanced examples.You will start by setting up your Jupyter notebook to implement the tasks throughout the book. You will learn to make efficient and powerful data-driven financial decisions using popular libraries such as TensorFlow, Keras, Numpy, SciPy, and scikit-learn. You will also learn how to build financial applications by mastering concepts such as stocks, options, interest rates and their derivatives, and risk analytics using computational methods. With these foundations, you will learn to apply statistical analysis to time series data, and understand how time series data is useful for implementing an event-driven backtesting system and for working with high-frequency data in building an algorithmic trading platform. Finally, you will explore machine learning and deep learning techniques that are applied in finance.By the end of this book, you will be able to apply Python to different paradigms in the financial industry and perform efficient data analysis.
Smartphones and tablets have really changed the technological landscape over the last 3-4 years. Much like the web did in the last decade, these powerful tools have changed the way people communicate and access information. Such a wide market creates opportunities for developers who have the skills to develop mobile applications.Creating Mobile Apps with Appcelerator Titanium is a practical, step-by-step guide to building iPhone, iPad, and Android applications using JavaScript. This book will give you a solid grounding of the dos and don'ts of mobile development and also covers a lot of the functionalities offered by the Titanium platform.This book begins with a look at what the Titanium platform has to offer. By taking you through clear tutorials on developing each application step-by-step, it helps you to apply your newly acquired knowledge afterwards. The difficulty level gradually increases along the course of the book.Each application from this book covers different aspects of mobile development. Every chapter starts by defining the application's features as well as the user interface structure. Every single code section is then explained and put into context allowing you to gain a clear understanding of their purpose and functionality. The book takes a “small milestone” approach, allowing you to actually run the application and see the progression. Every step is accompanied by many screenshots so you can see the expected result on screen.You will learn everything you need to know to develop your very own mobile applications. The book takes a laid-back approach to Titanium development and provides information in a way designed to never overwhelm the reader with information and also uses clear diagrams, screenshots, and tips throughout.
Modern web-based applications are moving rapidly away from simple HTML pages, with users expecting desktop styled rich internet applications. Oracle Application Express includes multiple built-in interfaces especially designed for adding JavaScript libraries and components. Ext JS is a polished, high performance set of customizable UI widgets with a well designed and extensible Component model. Combining Ext JS components with the well engineered server side processing provided by Oracle APEX is a recipe for success. Written by Oracle ACE, Mark Lancaster, this book is a complete practical guide to building robust desktop-styled web applications using Oracle Application Express and the powerful Ext JS JavaScript library This book starts off by setting up a productive environment for Oracle APEX and Ext JS, preparing you to get ready to code, and then gradually introducing you to the Ext JS API. You then create a theme based on Ext JS into APEX from scratch, starting with integrating the Ext JS library into the page template, then covering all the template types. You further enrich your interface by integrating Ext JS form components and Ext JS layout elements. You are shown how to integrate components including tab panels, toolbars and menus. Existing components are also enhanced, transforming select lists into auto-completing combo boxes and text-areas auto-sizing as you type.Using exciting new Plug-ins feature, you will learn how to develop custom APEX components that can be used declaritively. This book extends native APEX functionality by integrating Ext JS widgets and components with integrated server-side JavaScript generation, AJAX processing and validation.The book then covers integrating Plug-ins with APEX provided Dynamic Actions JavaScript. You proceed further to build advanced interactive components using AJAX enabled trees and grids. Then you will see how to use the iFrames component along with page templates to build a multi-page interface and also deal with JavaScript communication between iFrames. Finally, you will integrate Ext JS with jQuery using the Ext jQuery adaptor. This book also covers examples of jQuery functionality interacting with Ext JS. By the end of this book you will also learn to improve the performance of your JavaScripts.
State management, a crucial aspect of the React ecosystem, has gained significant attention in recent times. While React offers various libraries and tools to handle state, each with different approaches and perspectives, one thing is clear: state management solutions for handling client state are not optimized for dealing with server state. React Query was created to address this issue of managing your server state, and this guide will equip you with the knowledge and skills needed to effectively use React Query for state management.Starting with a brief history of state management in the React ecosystem, you’ll find out what prompted the split from a global state to client and server state and thus understand the need for React Query. As you progress through the chapters, you'll see how React Query enables you to perform server state tasks such as fetching, caching, updating, and synchronizing your data with the server. But that’s not all; once you’ve mastered React Query, you’ll be able to apply this knowledge to handle server state with server-side rendering frameworks as well. You’ll also work with patterns to test your code by leveraging the testing library and Mock Service Worker.By the end of this book, you'll have gained a new perspective of state and be able to leverage React Query to overcome the obstacles associated with server state.
Cybercriminals are incessantly coming up with new ways to compromise online systems and wreak havoc, creating an ever-growing need for cybersecurity practitioners in every organization across the globe who understand international security standards, such as the ISO27k family of standards.If you’re looking to ensure that your company's data conforms to these standards, Cybersecurity and Privacy Law Handbook has got you covered. It'll not only equip you with the rudiments of cybersecurity but also guide you through privacy laws and explain how you can ensure compliance to protect yourself from cybercrime and avoid the hefty fines imposed for non-compliance with standards.Assuming that you're new to the field, this book starts by introducing cybersecurity frameworks and concepts used throughout the chapters. You'll understand why privacy is paramount and how to find the security gaps in your company's systems. There's a practical element to the book as well—you'll prepare policies and procedures to prevent your company from being breached. You’ll complete your learning journey by exploring cloud security and the complex nature of privacy laws in the US.By the end of this cybersecurity book, you'll be well-placed to protect your company's data and comply with the relevant standards.
Mastering Predictive Analytics with Python. Click here to enter text
The volume, diversity, and speed of data available has never been greater. Powerful machine learning methods can unlock the value in this information by finding complex relationships and unanticipated trends. Using the Python programming language, analysts can use these sophisticated methods to build scalable analytic applications to deliver insights that are of tremendous value to their organizations. In Mastering Predictive Analytics with Python, you will learn the process of turning raw data into powerful insights. Through case studies and code examples using popular open-source Python libraries, this book illustrates the complete development process for analytic applications and how to quickly apply these methods to your own data to create robust and scalable prediction services.Covering a wide range of algorithms for classification, regression, clustering, as well as cutting-edge techniques such as deep learning, this book illustrates not only how these methods work, but how to implement them in practice. You will learn to choose the right approach for your problem and how to develop engaging visualizations to bring the insights of predictive modeling to life