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Podcasty
Mikael Krief, Mitchell Hashimoto
HashiCorp Configuration Language (HCL) has changed how we define and provision a data center infrastructure with the launch of Terraform—one of the most popular and powerful products for building Infrastructure as Code. This practical guide will show you how to leverage HashiCorp's Terraform tool to manage a complex infrastructure with ease.Starting with recipes for setting up the environment, this book will gradually guide you in configuring, provisioning, collaborating, and building a multi-environment architecture. Unlike other books, you’ll also be able to explore recipes with real-world examples to provision your Azure infrastructure with Terraform. Once you’ve covered topics such as Azure Template, Azure CLI, Terraform configuration, and Terragrunt, you’ll delve into manual and automated testing with Terraform configurations. The next set of chapters will show you how to manage a balanced and efficient infrastructure and create reusable infrastructure with Terraform modules. Finally, you’ll explore the latest DevOps trends such as continuous integration and continuous delivery (CI/CD) and zero-downtime deployments.By the end of this book, you’ll have developed the skills you need to get the most value out of Terraform and manage your infrastructure effectively.
Uncover the synergy between Microsoft Power Platform and its integration with Dynamics 365 Finance & Operations (F&O) with this essential guide to implementing low-code and no-code concepts to not only extend and enhance F&O but also improve maintainability and speed up development.Systematically exploring Power Platform, this book covers topics such as Dataverse, Power Automate, Power Apps, and Power BI using real-world scenarios in Dynamics 365 F&O to offer practical insights. You’ll then master the integration of F&O and Power Platform using dual-write and virtual tables, and delve into process automation with Power Automate. The book further deepens your proficiency in Power Apps by showing you how they can be used to extend the F&O functionality and incorporate artificial intelligence using AI Builder and its pre-trained AI models ready to use with your data. Throughout, you’ll gain a solid understanding of the diverse components of Power Platform and how they can transform your Dynamics 365 F&O experience.By the end of this book, you’ll be equipped with the skills and knowledge necessary to fully harness the immense potential of Power Platform and Dynamics 365 F&O.
Karthik Ramasubramanian, Jojo Moolayil
R provides excellent visualization features that are essential for exploring data before using it in automated learning.Applied Supervised Learning with R helps you cover the complete process of employing R to develop applications using supervised machine learning algorithms for your business needs. The book starts by helping you develop your analytical thinking to create a problem statement using business inputs and domain research. You will then learn different evaluation metrics that compare various algorithms, and later progress to using these metrics to select the best algorithm for your problem. After finalizing the algorithm you want to use, you will study the hyperparameter optimization technique to fine-tune your set of optimal parameters. The book demonstrates how you can add different regularization terms to avoid overfitting your model.By the end of this book, you will have gained the advanced skills you need for modeling a supervised machine learning algorithm that precisely fulfills your business needs.
Traditionally associated with developing Windows desktop applications and games, C# is now used in a wide variety of domains, such as web and cloud apps, and has become increasingly popular for mobile development. Despite its extensive coding features, professionals experience problems related to efficiency, scalability, and maintainability because of bad code. Clean Code in C# will help you identify these problems and solve them using coding best practices.The book starts with a comparison of good and bad code, helping you understand the importance of coding standards, principles, and methodologies. You’ll then get to grips with code reviews and their role in improving your code while ensuring that you adhere to industry-recognized coding standards. This C# book covers unit testing, delves into test-driven development, and addresses cross-cutting concerns. You’ll explore good programming practices for objects, data structures, exception handling, and other aspects of writing C# computer programs. Once you’ve studied API design and discovered tools for improving code quality, you’ll look at examples of bad code and understand which coding practices you should avoid.By the end of this clean code book, you’ll have the developed skills you need in order to apply industry-approved coding practices to write clean, readable, extendable, and maintainable C# code.
Apache Spark for Data Science Cookbook. Solve real-world analytical problems
Spark has emerged as the most promising big data analytics engine for data science professionals. The true power and value of Apache Spark lies in its ability to execute data science tasks with speed and accuracy. Spark’s selling point is that it combines ETL, batch analytics, real-time stream analysis, machine learning, graph processing, and visualizations. It lets you tackle the complexities that come with raw unstructured data sets with ease. This guide will get you comfortable and confident performing data science tasks with Spark. You will learn about implementations including distributed deep learning, numerical computing, and scalable machine learning. You will be shown effective solutions to problematic concepts in data science using Spark’s data science libraries such as MLLib, Pandas, NumPy, SciPy, and more. These simple and efficient recipes will show you how to implement algorithms and optimize your work.
Enterprise security redefined using a data-centric approach and trust models to transform information security into a business enablement process. It is a unique and forward thinking approach for deciding the best method to secure data in the enterprise, the cloud, and in BYOD environments.Enterprise Security: A Data-Centric Approach to Securing the Enterprise will guide you through redefining your security architecture to be more affective and turn information security into a business enablement process rather than a roadblock. This book will provide you with the areas where security must focus to ensure end-to-end security throughout the enterprise-supporting enterprise initiatives such as cloud and BYOD. Enterprise Security: A Data-Centric Approach to Securing the Enterprise will first introduce the reader to a new security architecture model and then explores the must have security methods and new tools that can used to secure the enterprise.This book will take a data-centric approach to securing the enterprise through the concept of Trust Models and building a layered security implementation focused on data. This is not your traditional security book focused on point solutions and the network aspect of security. This book combines best practice methods with new methods to approach enterprise security and how to remain agile as the enterprise demands more access to data from traditionally untrusted assets, hosted solutions, and third parties. Applied Information Security - A Data-Centric Approach to Securing the Enterprise will provide the reader an easy-to-follow flow from architecture to implementation, diagrams and recommended steps, and resources for further research and solution evaluation.This book is a reference and guide for all levels of enterprise security programs that have realized that non-data centric security is no longer practical and new methods must be used to secure the most critical assets in the enterprise.
Lorenz Haas, Witold Wysota, Witold Wysota, Lorenz Haas
Qt is the leading cross-platform toolkit for all significant desktop, mobile, and embedded platforms and is becoming more popular by the day, especially on mobile and embedded devices. Despite its simplicity, it's a powerful tool that perfectly fits game developers’ needs. Using Qt and Qt Quick, it is easy to build fun games or shiny user interfaces. You only need to create your game once and deploy it on all major platforms like iOS, Android, and WinRT without changing a single source file.The book begins with a brief introduction to creating an application and preparing a working environment for both desktop and mobile platforms. It then dives deeper into the basics of creating graphical interfaces and Qt core concepts of data processing and display before you try creating a game. As you progress through the chapters, you’ll learn to enrich your games by implementing network connectivity and employing scripting. We then delve into Qt Quick, OpenGL, and various other tools to add game logic, design animation, add game physics, and build astonishing UI for the games. Towards the final chapters, you’ll learn to exploit mobile device features such as accelerators and sensors to build engaging user experiences. If you are planning to learn about Qt and its associated toolsets to build apps and games, this book is a must have.
Windows Terminal is a new and open-source command-line application for Windows 10, built for the Command Prompt, PowerShell, Windows Subsystem for Linux, and more. It's fast, modern, and configurable thanks to its GPU-accelerated rendering, excellent UTF-8 support, and JSON-based configurability, and this book can help you learn how to leverage these features.You’ll start by learning the benefits of Windows Terminal and its open-source development, as well as how to use the built-in tabs, panes, and key bindings to build your own efficient terminal workflows. After you’ve mastered Windows Terminal, this book shows how to use and configure PowerShell Core and the Windows Subsystem for Linux within Windows Terminal. You’ll maximize your productivity using powerful tools such as PSReadLine for PowerShell and ZSH on Linux, and discover useful tips and tricks for common developer tools like Git and SSH. Finally, you’ll see how Windows Terminal can be used in common development and DevOps tasks, such as developing frontend JavaScript applications and backend REST APIs, and managing cloud-based systems like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud.By the end of this book, you'll not only be well-versed with Windows Terminal, but also have learned how to effectively use shells like PowerShell Core and ZSH to become proficient at the command line.
MICHAEL KEITH PEACOCK, Dries Buytaert
Drupal is ideally equipped to serve as a base system for creating a custom social networking site like Facebook or MySpace. While these large social networks have their place, niche social networking websites can help promote businesses, products, projects, and hobbies of any nature.Drupal 7 Social Networking provides careful instructions and clear explanations to take you through the setup and management of your social network site, covering topics from users, to marketing, to maintenance. It will help you create your own social networking site, suitable for whatever audience you choose!Starting from the very basics of both Drupal and Social Networking, right through to more complicated aspects, you will progressively learn how to add to and expand your social networking site and add more features. You will learn how to secure your social network, deploy it on the Internet, and keep it running and well maintained. As social networking sites rely on the participation of their users, this book helps you to structure your site in such a way so that users can easily and enjoyably contribute, thus creating a powerful social network.
Jetpack Compose is Android’s new framework for building fast, beautiful, and reliable native user interfaces. It simplifies and significantly accelerates UI development on Android using the declarative approach. This book will help developers to get hands-on with Jetpack Compose and adopt a modern way of building Android applications. The book is not an introduction to Android development, but it will build on your knowledge of how Android apps are developed.Complete with hands-on examples, this easy-to-follow guide will get you up to speed with the fundamentals of Jetpack Compose such as state hoisting, unidirectional data flow, and composition over inheritance and help you build your own Android apps using Compose. You'll also cover concepts such as testing, animation, and interoperability with the existing Android UI toolkit.By the end of the book, you'll be able to write your own Android apps using Jetpack Compose.
Hands-On Time Series Analysis with R. Perform time series analysis and forecasting using R
Time-series analysis is the art of extracting meaningful insights from, and revealing patterns in, time-series data using statistical and data visualization approaches. These insights and patterns can then be utilized to explore past events and forecast future values in the series.This book explores the basics of time-series analysis with R and lays the foundation you need to build forecasting models. You will learn how to preprocess raw time-series data and clean and manipulate data with packages such as stats, lubridate, xts, and zoo. You will analyze data using both descriptive statistics and rich data visualization tools in R including the TSstudio, plotly, and ggplot2 packages. The book then delves into traditional forecasting models such as time-series linear regression, exponential smoothing (Holt, Holt-Winter, and more) and Auto-Regressive Integrated Moving Average (ARIMA) models with the stats and forecast packages. You'll also work on advanced time-series regression models with machine learning algorithms such as random forest and Gradient Boosting Machine using the h2o package.By the end of this book, you will have developed the skills necessary for exploring your data, identifying patterns, and building a forecasting model using various traditional and machine learning methods.
Have you ever wanted to integrate phone features into a project you were working on? Maybe you wanted to send SMS messages to your customers about the latest sales? Maybe you want to set up a company directory with voice mail? Or maybe you want to add two factor authentication to your web sites to verify your users? Since Twilio was launched in 2007, developers have had a way to do these tasks. The power of Twilio's API is huge and lets you add any type of phone solution to your web site from 2-factor authentication for verifying your users, to setting up a company directory and a voice mail system. The possibilities are endless.Twilio Cookbook is your Swiss army knife for Twilio development, providing you with a number of clear step-by-step exercises. It helps you take advantage of the real power of the Twilio API, and gives you a good grounding in using it in your websites. This book looks at the Twilio API, and breaks down the mystery and confusion that surrounds adding telephone functionality to your websites. As you go through the recipes, you will learn how to take advantage of the Twilio API quickly and painlessly.You will learn how to build your own IVR system, company directory, and voicemail box, and also how to set up a 2-factor authentication system to verify users, track orders via SMS, send surveys using SMS, allow users to buy phone numbers, set up and delete sub-accounts, and check to see if a human is answering a phone call. We will also combine Twilio with other APIs to build a handy local search system such as a local business search, movie listings search, and web search. If you want to take advantage of using Twilio's API to add telephone functionality to your websites, then this book is for you.Twilio Cookbook' will leave you with a black belt in Twilio development and enable you to integrate the API into your websites.
Network-aware applications are becoming more prevalent and play an ever-increasing role in the world today. Connecting and using an Internet-based service is a frequent requirement for many applications. Java provides numerous classes that have evolved over the years to meet evolving network needs. These range from low-level socket and IP-based approaches to those encapsulated in software services.This book explores how Java supports networks, starting with the basics and then advancing to more complex topics. An overview of each relevant network technology is presented followed by detailed examples of how to use Java to support these technologies. We start with the basics of networking and then explore how Java supports the development of client/server and peer-to-peer applications. The NIO packages are examined as well as multitasking and how network applications can address practical issues such as security.A discussion on networking concepts will put many network issues into perspective and let you focus on the appropriate technology for the problem at hand. The examples used will provide a good starting point to develop similar capabilities for many of your network needs
Python 3 is more versatile and easier to use than ever. It runs on all major platforms in a huge array of use cases. Coding in Python minimizes development time and increases productivity in comparison to other languages. Clean, maintainable code is easy to both read and write using Python's clear, concise syntax.Object-oriented programming is a popular design paradigm in which data and behaviors are encapsulated in such a way that they can be manipulated together. Many modern programming languages utilize the powerful concepts behind object-oriented programming and Python is no exception.Starting with a detailed analysis of object-oriented analysis and design, you will use the Python programming language to clearly grasp key concepts from the object-oriented paradigm. This book fully explains classes, data encapsulation, inheritance, polymorphism, abstraction, and exceptions with an emphasis on when you can use each principle to develop well-designed software.You'll get an in-depth analysis of many common object-oriented design patterns that are more suitable to Python's unique style. This book will not just teach Python syntax, but will also build your confidence in how to program.You will also learn how to create maintainable applications by studying higher level design patterns. Following this, you'll learn the complexities of string and file manipulation, and how Python distinguishes between binary and textual data. Not one, but two very powerful automated testing systems will be introduced in the book. After you discover the joy of unit testing and just how easy it can be, you'll study higher level libraries such as database connectors and GUI toolkits and learn how they uniquely apply object-oriented principles. You'll learn how these principles will allow you to make greater use of key members of the Python eco-system such as Django and Kivy.This new edition includes all the topics that made Python 3 Object-oriented Programming an instant Packt classic. It's also packed with updated content to reflect recent changes in the core Python library and covers modern third-party packages that were not available on the Python 3 platform when the book was first published.
Machine learning algorithms are an integral part of almost all modern applications. To make the learning process faster and more accurate, you need a tool flexible and powerful enough to help you build machine learning algorithms quickly and easily. With The Machine Learning Workshop, you'll master the scikit-learn library and become proficient in developing clever machine learning algorithms.The Machine Learning Workshop begins by demonstrating how unsupervised and supervised learning algorithms work by analyzing a real-world dataset of wholesale customers. Once you've got to grips with the basics, you'll develop an artificial neural network using scikit-learn and then improve its performance by fine-tuning hyperparameters. Towards the end of the workshop, you'll study the dataset of a bank's marketing activities and build machine learning models that can list clients who are likely to subscribe to a term deposit. You'll also learn how to compare these models and select the optimal one.By the end of The Machine Learning Workshop, you'll not only have learned the difference between supervised and unsupervised models and their applications in the real world, but you'll also have developed the skills required to get started with programming your very own machine learning algorithms.
Neo4j, along with its Graph Data Science (GDS) library, is a complete solution to store, query, and analyze graph data. As graph databases are getting more popular among developers, data scientists are likely to face such databases in their career, making it an indispensable skill to work with graph algorithms for extracting context information and improving the overall model prediction performance.Data scientists working with Python will be able to put their knowledge to work with this practical guide to Neo4j and the GDS library that offers step-by-step explanations of essential concepts and practical instructions for implementing data science techniques on graph data using the latest Neo4j version 5 and its associated libraries. You’ll start by querying Neo4j with Cypher and learn how to characterize graph datasets. As you get the hang of running graph algorithms on graph data stored into Neo4j, you’ll understand the new and advanced capabilities of the GDS library that enable you to make predictions and write data science pipelines. Using the newly released GDSL Python driver, you’ll be able to integrate graph algorithms into your ML pipeline.By the end of this book, you’ll be able to take advantage of the relationships in your dataset to improve your current model and make other types of elaborate predictions.