Nagios Core Administration Cookbook. Over 90 hands-on recipes that will employ Nagios Core as the anchor of monitoring on your network - Second Edition

Tom Ryder

Nagios Core is an open source monitoring framework suitable for any network that ensures both internal and customer-facing services are running correctly and manages notification and reporting behavior to diagnose and fix outages promptly. It allows very fine configuration of exactly when, where, what, and how to check network services to meet both the uptime goals of your network and systems team and the needs of your users.This book shows system and network administrators how to use Nagios Core to its fullest as a monitoring framework for checks on any kind of network services, from the smallest home network to much larger production multi-site services. You will discover that Nagios Core is capable of doing much more than pinging a host or to see whether websites respond. The recipes in this book will demonstrate how to leverage Nagios Core's advanced configuration, scripting hooks, reports, data retrieval, and extensibility to integrate it with your existing systems, and to make it the rock-solid center of your network monitoring world.

Oracle Solaris 11: First Look. A sneak peek at all the important new features and functionality of Oracle Solaris 11

Philip P. Brown

Oracle Solaris provides innovative, built-in features that deliver breakthrough high availability, advanced security, efficiency, and industry-leading scalability and performance to help businesses grow. Oracle Solaris 11: First Look covers the new features and functionality of Oracle Solaris 11 and how these new features and improvements will make it easier to deploy services to the enterprise while improving performance and reducing total cost of ownership.This book starts with coverage of Image Packaging System and the new installation methods. It then moves swiftly to network configuration. The book also includes some security features and improvements. 

PHP Ajax Cookbook. Over 60 simple but incredibly effective recipes to Ajaxify PHP websites with this book and

R. Rajesh Jeba Anbiah, Roshan Bhattarai, Milan Sedliak, R Rajesh Jeba

Advanced Deep Learning with TensorFlow 2 and Keras. Apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more - Second Edition

Rowel Atienza

Advanced Deep Learning with TensorFlow 2 and Keras, Second Edition is a completely updated edition of the bestselling guide to the advanced deep learning techniques available today. Revised for TensorFlow 2.x, this edition introduces you to the practical side of deep learning with new chapters on unsupervised learning using mutual information, object detection (SSD), and semantic segmentation (FCN and PSPNet), further allowing you to create your own cutting-edge AI projects.Using Keras as an open-source deep learning library, the book features hands-on projects that show you how to create more effective AI with the most up-to-date techniques.Starting with an overview of multi-layer perceptrons (MLPs), convolutional neural networks (CNNs), and recurrent neural networks (RNNs), the book then introduces more cutting-edge techniques as you explore deep neural network architectures, including ResNet and DenseNet, and how to create autoencoders. You will then learn about GANs, and how they can unlock new levels of AI performance.Next, you’ll discover how a variational autoencoder (VAE) is implemented, and how GANs and VAEs have the generative power to synthesize data that can be extremely convincing to humans. You'll also learn to implement DRL such as Deep Q-Learning and Policy Gradient Methods, which are critical to many modern results in AI.

Mastering Machine Learning Algorithms. Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work - Second Edition

Giuseppe Bonaccorso

Mastering Machine Learning Algorithms, Second Edition helps you harness the real power of machine learning algorithms in order to implement smarter ways of meeting today's overwhelming data needs. This newly updated and revised guide will help you master algorithms used widely in semi-supervised learning, reinforcement learning, supervised learning, and unsupervised learning domains.You will use all the modern libraries from the Python ecosystem – including NumPy and Keras – to extract features from varied complexities of data. Ranging from Bayesian models to the Markov chain Monte Carlo algorithm to Hidden Markov models, this machine learning book teaches you how to extract features from your dataset, perform complex dimensionality reduction, and train supervised and semi-supervised models by making use of Python-based libraries such as scikit-learn. You will also discover practical applications for complex techniques such as maximum likelihood estimation, Hebbian learning, and ensemble learning, and how to use TensorFlow 2.x to train effective deep neural networks.By the end of this book, you will be ready to implement and solve end-to-end machine learning problems and use case scenarios.

Phalcon Cookbook. High Performance PHP Framework

Serghei Iakovlev, David Schissler

Phalcon is a high-performance PHP framework delivered as a PHP extension. This provides new opportunities for speed and application design, which until recently have been unrealized in the PHP ecosystem.Packed with simple learning exercises, technology prototypes, and real-world usable code, this book will guide you from the beginner and setup stage all the way to advanced usage. You will learn how to avoid niche pitfalls, how to use the command-line developer tools, how to integrate with new web standards, as well as how to set up and customize the MVC application structure. You will see how Phalcon can be used to quickly set up a single file web application as well as a complex multi-module application suitable for long-term projects. Some of the recipes focus on abstract concepts that are vital to get a deep comprehension of Phalcon and others are designed as a vehicle to deliver real-world usable classes and code snippets to solve advanced problems. You’ll start out with basic setup and application structure and then move onto the Phalcon MVC and routing implementation, the power of the ORM and Phalcon Query Language, and Phalcon’s own Volt templating system. Finally, you will move on to caching, security, and optimization.

Microsoft SQL Server 2014 Business Intelligence Development Beginner's Guide. Get to grips with Microsoft Business Intelligence and Data Warehousing technologies using this practical guide

Reza Rad

Mastering Application Development with Force.com

Kevin J. Poorman

Force.com is an extremely powerful, scalable, and secure cloud platform, delivering a complete technology stack, ranging from databases and security to workflow and the user interface. With salesforce.com's Force.com cloud platform, you can build any business application and run it on your servers.The book will help you enhance your skillset and develop complex applications using Force.com. It gets you started with a quick refresher of Force.com's development tools and methodologies, and moves to an in-depth discussion of triggers, bulkification, DML order of operations, and trigger frameworks. Next, you will learn to use batchable and schedulable interfaces to process massive amounts of information asynchronously. You will also be introduced to Salesforce Lightning and cover components—including backend (apex) controllers, frontend (JavaScript) controllers, events, and attributes—in detail.Moving on, the book will focus on testing various apex components: what to test, when to write the tests, and—most importantly—how to test. Next, you will develop a changeset and use it to migrate your code from one org to another, and learn what other tools are out there for deploying metadata. You will also use command-line tools to authenticate and access the Force.com Rest sObject API and the Bulk sObject API; additionally, you will write a custom Rest endpoint, and learn how to structure a project so that multiple developers can work independently of each other without causing metadata conflicts.Finally, you will take an in-depth look at the overarching best practices for architecture (structure) and engineering (code) applications on the Force.com platform.

Data Wrangling on AWS. Clean and organize complex data for analysis

Navnit Shukla, Sankar M, Sampat Palani

Data wrangling is the process of cleaning, transforming, and organizing raw, messy, or unstructured data into a structured format. It involves processes such as data cleaning, data integration, data transformation, and data enrichment to ensure that the data is accurate, consistent, and suitable for analysis. Data Wrangling on AWS equips you with the knowledge to reap the full potential of AWS data wrangling tools.First, you’ll be introduced to data wrangling on AWS and will be familiarized with data wrangling services available in AWS. You’ll understand how to work with AWS Glue DataBrew, AWS data wrangler, and AWS Sagemaker. Next, you’ll discover other AWS services like Amazon S3, Redshift, Athena, and Quicksight. Additionally, you’ll explore advanced topics such as performing Pandas data operation with AWS data wrangler, optimizing ML data with AWS SageMaker, building the data warehouse with Glue DataBrew, along with security and monitoring aspects.By the end of this book, you’ll be well-equipped to perform data wrangling using AWS services.

Selenium Essentials. Get to grips with automated web testing with the amazing power of Selenium WebDriver

Prashanth Sams

Cloudera Administration Handbook. A complete, hands-on guide to building and maintaining large Apache Hadoop clusters using Cloudera Manager and CDH5

Rohit Menon

API Testing and Development with Postman. A practical guide to creating, testing, and managing APIs for automated software testing

Dave Westerveld

Postman enables the exploration and testing of web APIs, helping testers and developers figure out how an API works. With Postman, you can create effective test automation for any APIs. If you want to put your knowledge of APIs to work quickly, this practical guide to using Postman will help you get started.The book provides a hands-on approach to learning the implementation and associated methodologies that will have you up and running with Postman in no time. Complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions, this book begins by taking you through the principles of effective API testing. A combination of theory coupled with real-world examples will help you learn how to use Postman to create well-designed, documented, and tested APIs. You'll then be able to try some hands-on projects that will teach you how to add test automation to an already existing API with Postman, and guide you in using Postman to create a well-designed API from scratch.By the end of this book, you'll be able to use Postman to set up and run API tests for any API that you are working with.

PostgreSQL Development Essentials. Advanced querying, data modeling and performance tuning

Manpreet Kaur, Baji Shaik

PostgreSQL is the most advanced open source database in the world. It is easy to install, configure, and maintain by following the documentation; however, it’s difficult to develop applications using programming languages and design databases accordingly. This book is what you need to get the most out of PostgreSQLYou will begin with advanced SQL topics such as views, materialized views, and cursors, and learn about performing data type conversions. You will then perform trigger operations and use trigger functions in PostgreSQL. Next we walk through data modeling, normalization concepts, and the effect of transactions and locking on the database. The next half of the book covers the types of indexes, constrains, and the concepts of table partitioning, as well as the different mechanisms and approaches available to write efficient queries or code. Later, we explore PostgreSQL Extensions and Large Object Support in PostgreSQL. Finally, you will perform database operations in PostgreSQL using PHP and Java. By the end of this book, you will have mastered all the aspects of PostgreSQL development. You will be able to build efficient enterprise-grade applications with PostgreSQL by making use of these concepts

WCF Multi-layer Services Development with Entity Framework. Create and deploy complete solutions with WCF and Entity Framework

Hongcheng Lui

MongoDB High Availability. Design and implement a highly available server using the latest features of MongoDB

Afshin Mehrabani

Mastering PyTorch. Build powerful neural network architectures using advanced PyTorch 1.x features

Ashish Ranjan Jha, Dr. Gopinath Pillai

Deep learning is driving the AI revolution, and PyTorch is making it easier than ever before for anyone to build deep learning applications. This PyTorch book will help you uncover expert techniques to get the most out of your data and build complex neural network models.The book starts with a quick overview of PyTorch and explores using convolutional neural network (CNN) architectures for image classification. You'll then work with recurrent neural network (RNN) architectures and transformers for sentiment analysis. As you advance, you'll apply deep learning across different domains, such as music, text, and image generation using generative models and explore the world of generative adversarial networks (GANs). You'll not only build and train your own deep reinforcement learning models in PyTorch but also deploy PyTorch models to production using expert tips and techniques. Finally, you'll get to grips with training large models efficiently in a distributed manner, searching neural architectures effectively with AutoML, and rapidly prototyping models using PyTorch and fast.ai.By the end of this PyTorch book, you'll be able to perform complex deep learning tasks using PyTorch to build smart artificial intelligence models.

Hands-On Microsoft Teams. A practical guide to enhancing enterprise collaboration with Microsoft Teams and Microsoft 365 - Second Edition

Joao Ferreira

Microsoft Teams is a permanent fixture in the modern workplace, but many of its productivity-boosting features go unnoticed or unused. Hands-On Microsoft Teams shows you how to use Teams to its full potential through easy-to-follow practical tutorials.This guide to mastering Teams explores the platform in comprehensive detail and how it interacts with the rest of the Microsoft ecosystem to help you work efficiently and manage your resources. You'll get to grips with core functionality like setting up and managing teams, channels, chats, tabs, and meetings.You'll also learn to get the best out of Teams by adding custom apps, integrating with Microsoft 365, using PowerShell automation, and exploring useful settings you didn't know existed. Along the way, you'll be shown various real-world scenarios and how to implement solutions for them in Teams that will increase your productivity.Whether you're an administrator, manager, or team member, by the end of this book you'll be confident in using everything Microsoft Teams has to offer.

C# and Algorithmic Thinking for the Complete Beginner. Unlock the Power of Programming with C# and Algorithmic Thinking

Aristides Bouras

This course takes you on a journey through the basics of C# programming and algorithmic thinking, tailored specifically for complete beginners. Starting with an understanding of how a computer works, you will explore integrated development environments, essential software packages, and basic algorithmic concepts.As you progress, you will delve deeper into key programming constructs such as variables, constants, input and output handling, operators, and control structures. The course emphasizes practical application, guiding you through exercises involving complex mathematical expressions, string manipulations, decision structures, and loop control structures. By the time you reach the advanced sections, you will have a comprehensive understanding of data structures, subprograms, and object-oriented programming.Designed to be engaging and informative, this course offers tips, tricks, and detailed explanations to help you master each concept. The use of Visual Studio Code is seamlessly integrated, providing you with hands-on experience in a real-world development environment. By the end of the course, you will be well-equipped to tackle more advanced programming challenges and continue your journey in the world of software development.

Object-Oriented JavaScript. If you've limited or no experience with JavaScript, this book will put you on the road to being an expert. A wonderfully compiled introduction to objects in JavaScript, it teaches through examples and practical play. - Second Edition

Kumar Chetan Sharma, Stoyan Stefanov, Kumar Chetan Sharma

JavaScript is the behavior, the third pillar in today's paradigm that looks at web pages as something that consists of clearly distinguishable parts: content (HTML), presentation (CSS) and behavior (JavaScript). Using JavaScript, you can create not only web pages but also desktop widgets, browser and application extensions, and other pieces of software. It's a pretty good deal: you learn one language and then code all kinds of different applications. While there's one chapter specifically dedicated to the web browser environment including DOM, Events and AJAX tutorials, the rest is applicable to the other environmentsMany web developers have tried coding or adopting some bits of JavaScript, but it is time to man up and learn the language properly because it is the language of the browser and is, virtually, everywhere. This book starts from zero, not assuming any prior JavaScript programming knowledge and takes you through all the in-depth and exciting futures hidden behind the facade. Once listed in the nice to have sections of job postings, these days the knowledge of JavaScript is a deciding factor when it comes to hiring web developers. After reading this book you'll be prepared to ace your JavaScript job interview and even impress with some bits that the interviewer maybe didn't know. You should read this book if you want to be able to take your JavaScript skills to a new level of sophistication.

Terraform Cookbook. Efficiently define, launch, and manage Infrastructure as Code across various cloud platforms

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.

Practical Machine Learning. Learn how to build Machine Learning applications to solve real-world data analysis challenges with this Machine Learning book – packed with practical tutorials

Sunila Gollapudi

This book explores an extensive range of machine learning techniques uncovering hidden tricks and tips for several types of data using practical and real-world examples. While machine learning can be highly theoretical, this book offers a refreshing hands-on approach without losing sight of the underlying principles. Inside, a full exploration of the various algorithms gives you high-quality guidance so you can begin to see just how effective machine learning is at tackling contemporary challenges of big dataThis is the only book you need to implement a whole suite of open source tools, frameworks, and languages in machine learning. We will cover the leading data science languages, Python and R, and the underrated but powerful Julia, as well as a range of other big data platforms including Spark, Hadoop, and Mahout. Practical Machine Learning is an essential resource for the modern data scientists who want to get to grips with its real-world application.With this book, you will not only learn the fundamentals of machine learning but dive deep into the complexities of real world data before moving on to using Hadoop and its wider ecosystem of tools to process and manage your structured and unstructured data. You will explore different machine learning techniques for both supervised and unsupervised learning; from decision trees to Naïve Bayes classifiers and linear and clustering methods, you will learn strategies for a truly advanced approach to the statistical analysis of data. The book also explores the cutting-edge advancements in machine learning, with worked examples and guidance on deep learning and reinforcement learning, providing you with practical demonstrations and samples that help take the theory–and mystery–out of even the most advanced machine learning methodologies.

Scala: Guide for Data Science Professionals. Build robust data pipelines with Scala

Arun Manivannan, Pascal Bugnion, Patrick R. Nicolas

Scala is especially good for analyzing large sets of data as the scale of the task doesn’t have any significant impact on performance. Scala’s powerful functional libraries can interact with databases and build scalable frameworks — resulting in the creation of robust data pipelines. The first module introduces you to Scala libraries to ingest, store, manipulate, process, and visualize data. Using real world examples, you will learn how to design scalable architecture to process and model data — starting from simple concurrency constructs and progressing to actor systems and Apache Spark. After this, you will also learn how to build interactive visualizations with web frameworks.Once you have become familiar with all the tasks involved in data science, you will explore data analytics with Scala in the second module. You’ll see how Scala can be used to make sense of data through easy to follow recipes. You will learn about Bokeh bindings for exploratory data analysis and quintessential machine learning with algorithms with Spark ML library. You’ll get a sufficient understanding of Spark streaming, machine learning for streaming data, and Spark graphX. Armed with a firm understanding of data analysis, you will be ready to explore the most cutting-edge aspect of data science — machine learning. The final module teaches you the A to Z of machine learning with Scala. You’ll explore Scala for dependency injections and implicits, which are used to write machine learning algorithms. You’ll also explore machine learning topics such as clustering, dimentionality reduction, Naïve Bayes, Regression models, SVMs, neural networks, and more. This learning path combines some of the best that Packt has to offer into one complete, curated package. It includes content from the following Packt products:• Scala for Data Science, Pascal Bugnion• Scala Data Analysis Cookbook, Arun Manivannan • Scala for Machine Learning, Patrick R. Nicolas

Mastering RethinkDB. Master the skills of building real-time apps dramatically easier with open source, scalable database - RethinkDB

Shahid Shaikh

RethinkDB has a lot of cool things to be excited about: ReQL (its readable,highly-functional syntax), cluster management, primitives for 21st century applications, and change-feeds. This book starts with a brief overview of the RethinkDB architecture and data modeling, and coverage of the advanced ReQL queries to work with JSON documents. Then, you will quickly jump to implementing these conceptsin real-world scenarios, by building real-time applications on polling, data synchronization, share market, and the geospatial domain using RethinkDB andNode.js. You will also see how to tweak RethinkDB's capabilities to ensure faster data processing by exploring the sharding and replication techniques in depth.Then, we will take you through the more advanced administration tasks as well as show you the various deployment techniques using PaaS, Docker, and Compose. By the time you have finished reading this book, you would have taken your knowledge of RethinkDB to the next level, and will be able to use the concepts in RethinkDB to develop efficient, real-time applications with ease.

Learning Boost C++ Libraries. Solve practical programming problems using powerful, portable, and expressive libraries from Boost

Arindam Mukherjee