Twilio Cookbook. The Twilio cookbook will enable all kinds of telephone usage, including SMS, on your websites. It's a totally practical guide with a hands-on approach to help you dig deep into the enormous potential of telephone facilities on the Web

Roger Stringer

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.

Learning Network Programming with Java. Harness the hidden power of Java to build network-enabled applications with lower network traffic and faster processes

Richard M. Reese

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 Object-oriented Programming. Building robust and maintainable software with object oriented design patterns in Python

Dusty Phillips

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. 

The Machine Learning Workshop. Get ready to develop your own high-performance machine learning algorithms with scikit-learn - Second Edition

Hyatt Saleh

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.

Graph Data Science with Neo4j. Learn how to use Neo4j 5 with Graph Data Science library 2.0 and its Python driver for your project

Estelle Scifo

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.

Machine Learning Engineering with Python. Manage the production life cycle of machine learning models using MLOps with practical examples

Andrew McMahon

Machine learning engineering is a thriving discipline at the interface of software development and machine learning. This book will help developers working with machine learning and Python to put their knowledge to work and create high-quality machine learning products and services.Machine Learning Engineering with Python takes a hands-on approach to help you get to grips with essential technical concepts, implementation patterns, and development methodologies to have you up and running in no time. You'll begin by understanding key steps of the machine learning development life cycle before moving on to practical illustrations and getting to grips with building and deploying robust machine learning solutions. As you advance, you'll explore how to create your own toolsets for training and deployment across all your projects in a consistent way. The book will also help you get hands-on with deployment architectures and discover methods for scaling up your solutions while building a solid understanding of how to use cloud-based tools effectively. Finally, you'll work through examples to help you solve typical business problems.By the end of this book, you'll be able to build end-to-end machine learning services using a variety of techniques and design your own processes for consistently performant machine learning engineering.

Microsoft Windows Intune 2.0: Quickstart Administration. Manage your PCs in the Enterprise through the Cloud with Microsoft Windows Intune book and

David Overton

Microsoft Windows Intune is a cloud service solution that simplifies how small and mid-sized businesses manage and secure PCs using Microsoft cloud services and Windows 7óso your computers and users can operate at peak performance all the time.This step-by-step guide will show you how to plan, set up and maintain Windows Intune, showing you how to manage a group of PCs (either 1 business or several if a partner) from the base operating system, through to the patches, anti-malware solution and deployed software and policies from a central console, using the Windows Intune service. This book takes you through all the steps to plan, set up and maintain Windows Intune and how to manage a group of PCs. The book starts by providing an overview of Cloud Computing and PC Management. The book then dives into topics such as Windows Intune features, signing up for Windows Intune and installing the client software, configuring Windows Intune, proactive management, and monitoring and dealing with alerts, including remote assistance amongst others. As Windows 7 is part of Windows Intune, the book will also cover the minimum steps required to move from Windows XP to Windows 7 while keeping user settings and preferences.

Node.js Cookbook. Practical recipes for building server-side web applications with Node.js 22 - Fifth Edition

Bethany Griggs, Manuel Spigolon

Node.js is a game-changing technology for building modern web applications and tooling, bringing the power of JavaScript to the server and enabling full-stack development in a unified language. This updated edition of this Node.js cookbook, featuring Node.js 22, equips you with the latest advancements and enhancements in the Node.js framework ecosystem.From Bethany Griggs, who has served on the Node.js Technical Steering Committee and participated in the Node.js Release Working Group, and Manuel Spigolon, a core maintainer of Fastify, comes this fifth edition of the Node.js Cookbook to help you master Node.js 22. This book guides you step by step through crafting reusable code with Node.js modules, streamlining development using the Fastify web framework, and implementing data persistence in databases and rigorous testing practices for robust applications. You’ll address security concerns, optimize performance with worker threads, deploy Node.js microservices using containerization and orchestration, and tackle troubleshooting with effective debugging strategies. Packed with real-world examples, this guide empowers you to harness Node.js 22's full potential for creating secure, performant, and dynamic applications.

Build Your Own Programming Language. A programmer's guide to designing compilers, interpreters, and DSLs for solving modern computing problems

Clinton L. Jeffery

The need for different types of computer languages is growing rapidly and developers prefer creating domain-specific languages for solving specific application domain problems. Building your own programming language has its advantages. It can be your antidote to the ever-increasing size and complexity of software.In this book, you’ll start with implementing the frontend of a compiler for your language, including a lexical analyzer and parser. The book covers a series of traversals of syntax trees, culminating with code generation for a bytecode virtual machine. Moving ahead, you’ll learn how domain-specific language features are often best represented by operators and functions that are built into the language, rather than library functions. We’ll conclude with how to implement garbage collection, including reference counting and mark-and-sweep garbage collection. Throughout the book, Dr. Jeffery weaves in his experience of building the Unicon programming language to give better context to the concepts where relevant examples are provided in both Unicon and Java so that you can follow the code of your choice of either a very high-level language with advanced features, or a mainstream language.By the end of this book, you’ll be able to build and deploy your own domain-specific languages, capable of compiling and running programs.

Performance Testing with JMeter. Test web applications using Apache JMeter with practical, hands-on examples

Bayo Erinle

Driving Data Quality with Data Contracts. A comprehensive guide to building reliable, trusted, and effective data platforms

Andrew Jones, Kevin Hu

Despite the passage of time and the evolution of technology and architecture, the challenges we face in building data platforms persist. Our data often remains unreliable, lacks trust, and fails to deliver the promised value.With Driving Data Quality with Data Contracts, you’ll discover the potential of data contracts to transform how you build your data platforms, finally overcoming these enduring problems. You’ll learn how establishing contracts as the interface allows you to explicitly assign responsibility and accountability of the data to those who know it best—the data generators—and give them the autonomy to generate and manage data as required. The book will show you how data contracts ensure that consumers get quality data with clearly defined expectations, enabling them to build on that data with confidence to deliver valuable analytics, performant ML models, and trusted data-driven products.By the end of this book, you’ll have gained a comprehensive understanding of how data contracts can revolutionize your organization’s data culture and provide a competitive advantage by unlocking the real value within your data.

Mastering .NET Machine Learning. Use machine learning in your .NET applications

Jamie Dixon

.Net is one of the widely used platforms for developing applications. With the meteoric rise of Machine learning, developers are now keen on finding out how can they make their .Net applications smarter. Also, .NET developers are interested into moving into the world of devices and how to apply machine learning techniques to, well, machines.This book is packed with real-world examples to easily use machine learning techniques in your business applications. You will begin with introduction to F# and prepare yourselves for machine learning using .NET framework. You will be writing a simple linear regression model using an example which predicts sales of a product. Forming a base with the regression model, you will start using machine learning libraries available in .NET framework such as Math.NET, Numl.NET and Accord.NET with the help of a sample application. You will then move on to writing multiple linear regressions and logistic regressions.You will learn what is open data and the awesomeness of type providers. Next, you are going to address some of the issues that we have been glossing over so far and take a deep dive into obtaining, cleaning, and organizing our data. You will compare the utility of building a KNN and Naive Bayes model to achieve best possible results.Implementation of Kmeans and PCA using Accord.NET and Numl.NET libraries is covered with the help of an example application. We will then look at many of issues confronting creating real-world machine learning models like overfitting and how to combat them using confusion matrixes, scaling, normalization, and feature selection. You will now enter into the world of Neural Networks and move your line of business application to a hybrid scientific application. After you have covered all the above machine learning models, you will see how to deal with very large datasets using MBrace and how to deploy machine learning models to Internet of Thing (IoT) devices so that the machine can learn and adapt on the fly.

Prezi Cookbook. Over 100 simple but incredible recipes to create dynamic, engaging, and beautiful presentations using Prezi

Charlotte Olsson, Christina Hojer

ChromeOS System Administrator's Guide. Implement, manage, and optimize ChromeOS features effectively

Dr. Willie Sanders

Google's ChromeOS provides a great platform for technicians, system administrators, developers, and casual users alike, providing a seemingly simplistic architecture that is easy enough for a novice user to begin working with. However, beneath the surface, this operating system boasts a plethora of powerful tools, able to rival any other OS on the market. So, learning how to harness the full potential of the OS is critical for you as a technical worker and user to thrive at your workplace. ChromeOS System Administrator’s Guide will help you reap the benefits of all features of ChromeOS.This book explains ChromeOS’ unique architecture and its built-in tools that perform essential tasks such as managing user accounts, working with data, and launching applications. As you build your foundational knowledge of the OS, you'll be exposed to higher-level concepts such as security, command line, and enterprise management.By the end of this book, you’ll be well-equipped to perform a range of system administration tasks within ChromeOS without requiring an alternative operating system, thereby broadening your options as a technician, system administrator, developer, or engineer.

Advanced Splunk. Click here to enter text

Ashish Kumar Tulsiram Yadav

Master the power of Splunk and learn the advanced strategies to get the most out of your machine data with this practical advanced guide. Make sense of the hidden data of your organization – the insight of your servers, devices, logs, traffic and clouds. Advanced Splunk shows you how.Dive deep into Splunk to find the most efficient solution to your data problems. Create the robust Splunk solutions you need to make informed decisions in big data machine analytics. From visualizations to enterprise integration, this well-organized high level guide has everything you need for Splunk mastery.Start with a complete overview of all the new features and advantages of the latest version of Splunk and the Splunk Environment. Go hands on with uploading data, search commands for basic and advanced analytics, advanced visualization techniques, and dashboard customizing. Discover how to tweak Splunk to your needs, and get a complete on Enterprise Integration of Splunk with various analytics and visualization tools. Finally, discover how to set up and use all the new features of the latest version of Splunk.

SAP BusinessObjects Dashboards 4.0 Cookbook. Over 90 simple and incredibly effective recipes for transforming your business data into exciting dashboards with SAP BusinessObjects Dashboards 4.0 Xcelsius

Xavier Jean-Marie Hacking, David Lai, XJ Hacking

Xcelsius 2008 was recently included in SAP’s BusinessObjects 4.0 family, rebranding “Xcelsius Enterprise” as “SAP BusinessObjects Dashboards 4.0”. With features like flexible design and what-if scenarios, the powerful dashboarding software allows enterprises to make business decisions at a glance, and this book allows you to go far beyond the basics of these techniques. This cookbook full of practical and applicable recipes will enable you to use the full latest capabilities of Dashboard Design to visually transform your business data. A wide range of recipes will equip you with the knowledge and confidence to perform tasks like configuring charts, creating drill- downs, making component colors dynamic, using alerts in maps, building pop-up screens, setting up What-If scenarios, and many more.The recipes begin by covering best practices for using the Dashboard Design spreadsheet, the data-model, and the connection with the components on the canvas, later moving on to some from-the-trenches tricks for using Excel within Dashboard Design. The book then guides you through the exploration of various data visualization components and dashboard interactivity, as well as offering recipes on using alerts, dashboard connectivity, and making the most of the aesthetics of the dashboard. Finally, the recipes conclude by considering the most important add-ons available for Dashboard Design and enabling you to perform relevant and useful tasks straight away.