Видавець: Packt Publishing
Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools. As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.
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Training Systems using Python Statistical Modeling. Explore popular techniques for modeling your data in Python

Curtis Miller

Python's ease-of-use and multi-purpose nature has made it one of the most popular tools for data scientists and machine learning developers. Its rich libraries are widely used for data analysis, and more importantly, for building state-of-the-art predictive models. This book is designed to guide you through using these libraries to implement effective statistical models for predictive analytics.You’ll start by delving into classical statistical analysis, where you will learn to compute descriptive statistics using pandas. You will focus on supervised learning, which will help you explore the principles of machine learning and train different machine learning models from scratch. Next, you will work with binary prediction models, such as data classification using k-nearest neighbors, decision trees, and random forests. The book will also cover algorithms for regression analysis, such as ridge and lasso regression, and their implementation in Python. In later chapters, you will learn how neural networks can be trained and deployed for more accurate predictions, and understand which Python libraries can be used to implement them.By the end of this book, you will have the knowledge you need to design, build, and deploy enterprise-grade statistical models for machine learning using Python and its rich ecosystem of libraries for predictive analytics.

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OpenStreetMap. Once you’ve learnt OpenStreetMap using this book you’ll be your own cartographer, creating whatever maps you wish easily and accurately, for business or leisure. Best of all there are none of the usual restrictions on use

Jonathan Bennett, Steve Coast

Imagine being able to create accurate maps that look how you want them to, and use them on the Web or in print, for free. OpenStreetMap allows exactly that, with no restrictions on how or where you use your maps. OpenStreetMap is perfect for businesses that want to include maps on their website or in publications without paying high fees. With this book in hand you have the power to make, alter, and use this geographical data in a collaborative way from anywhere on the Earth.OpenStreetMap was started because most maps you think of as free actually have legal or technical restrictions on their use, holding back people from using them in creative, productive, or unexpected ways. This book will allow you to take control of your own maps and use them smoothly. This book introduces the reader to the OpenStreetMap project and shows you how to participate in the project, and make use of the data it provides. No prior knowledge of the project is assumed, and technical details are kept to a minimum.In this book, you'll learn how easy it is to add your neighborhood to OpenStreetMap using inexpensive GPS equipment, or even no GPS at all. You'll find out how to communicate with other mappers working in the same area, and where to find more information about how to map the world around you.Once you have your area mapped, you'll learn how to turn this information into maps, whether for use in print or online, large or small, and with the details you want shown. The book describes several rendering methods, each suited to different types of map, and takes you through a tutorial on each one.

3412
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Microsoft Power Platform Enterprise Architecture. Design tailor-made solutions for architects and decision makers to meet complex business requirements - Second Edition

Robert Rybaric

This book is for enterprise architects and decision makers who design solutions for complex business requirements. It teaches you how to use architectural best practices and methodologies to optimize an enterprise-grade solution.You'll gain an understanding of the tools available in the Power Platform suite and how to integrate them seamlessly with various Microsoft 365 and Azure components to create a tailor-made solution. Progressing through the book, you'll discover how to address application lifecycle management, security, extensibility, and data migration. This includes Power BI, which often requires a separate approach to the rest of the Power Platform.This book provides you with practical, essential, and concise information. It follows a complete, end-to-end example in every chapter, with diagrams that illustrate the intricacies of Microsoft cloud structure. It has been created by an experienced enterprise architect who actively creates solutions using Microsoft technology.By the end of this book, you'll have the strategic perspective of an enterprise architect to make accurate architectural decisions for your complex Power Platform projects.Unlike many other overwhelmingly long and unstructured resources, this book covers essential concepts using one concise yet practical example that is revisited throughout the book. You’ll develop the skills you need to architect, design, and manage a complex solution as you follow the journey of a fictitious enterprise customer as they enter the world of Power Platform. Throughout the book, you’ll discover how to combine the functionality of Microsoft Power PI, Power Automate, Power Apps, and Power Virtual Agents with various methodologies to effectively address application lifecycle management, security, and extensibility. You'll also learn how to overcome common challenges in migrating data to and from Microsoft Power Platform using proven techniques.By the end of this Microsoft book, you’ll have the strategic perspective of an enterprise architect, enabling you to make accurate architectural decisions for your complex Power Platform projects.

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The New Engineering Game. Strategies for smart product engineering

Tim Weilkiens

Organizations today face an increasingly complex and dynamic environment, whatever their market. This change requires new systems that are built on the foundation of a new kind of engineering and thinking. The New Engineering Game closes the gap between high-level reflections about digitalization and daily engineering methods and tools.The book begins by describing the first three industrial revolutions and their consequences, and by predicting the fourth industrial revolution. Considering the fourth industrial revolution, it explains the need for a new kind of engineering. The later chapters of the book provide valuable principles, patterns, methods, and tools that engineering organizations can learn and use to succeed on the playfield of digitalization.By the end of the book, you’ll have all the information you need to understand the various concepts to take your first steps towards the world of digitalization.

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Red Hat Enterprise Linux Server Cookbook. Click here to enter text

William Leemans

Dominating the server market, the Red Hat Enterprise Linux operating system gives you the support you need to modernize your infrastructure and boost your organization’s efficiency. Combining both stability and flexibility, RHEL helps you meet the challenges of today and adapt to the demands of tomorrow.This practical Cookbook guide will help you get to grips with RHEL 7 Server and automating its installation. Designed to provide targeted assistance through hands-on recipe guidance, it will introduce you to everything you need to know about KVM guests and deploying multiple standardized RHEL systems effortlessly. Get practical reference advice that will make complex networks setups look like child’s play, and dive into in-depth coverage of configuring a RHEL system. Also including full recipe coverage of how to set up, configuring, and troubleshoot SELinux, you’ll also discover how secure your operating system, as well as how to monitor it.

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Mastering Microsoft 365 Defender. Implement Microsoft Defender for Endpoint, Identity, Cloud Apps, and Office 365 and respond to threats

Ru Campbell, Viktor Hedberg, Heike Ritter

This book will help you get up and running with Microsoft 365 Defender and help you use the whole suite effectively.You’ll start with a quick overview of cybersecurity risks that modern organizations face, such as ransomware and APT attacks, how Microsoft is making massive investments in security today, and gain an understanding of how to deploy Microsoft Defender for Endpoint by diving deep into configurations and their architecture.As you progress, you’ll learn how to configure Microsoft Defender Antivirus, and onboard and manage macOS, Android, and Linux MDE devices for effective solutions. You’ll also learn how to deploy Microsoft Defender for Identity and explore its different deployment methods that can protect your hybrid identity platform, as well as how to configure Microsoft Defender for Office 365 and Cloud Apps, and manage KQL queries for advanced hunting with ease. Toward the end, you’ll find out how M365D can be integrated with Sentinel and how to use APIs for incident response.By the end of this book, you will have a deep understanding of Microsoft 365 Defender, and how to protect and respond to security threats.

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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.

3418
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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. 

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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.

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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.

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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.

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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.

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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.

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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.

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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

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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.