Publisher: 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.
3457
Ebook

Python for ArcGIS Pro. Automate cartography and data analysis using ArcPy, ArcGIS API for Python, Notebooks, and pandas

Silas Toms, Bill Parker, Dr. Christopher Tucker, René Rubalcava

Integrating Python into your day-to-day ArcGIS work is highly recommended when dealing with large amounts of geospatial data. Python for ArcGIS Pro aims to help you get your work done faster, with greater repeatability and higher confidence in your results.Starting from programming basics and building in complexity, two experienced ArcGIS professionals-turned-Python programmers teach you how to incorporate scripting at each step: automating the production of maps for print, managing data between ArcGIS Pro and ArcGIS Online, creating custom script tools for sharing, and then running data analysis and visualization on top of the ArcGIS geospatial library, all using Python.You’ll use ArcGIS Pro Notebooks to explore and analyze geospatial data, and write data engineering scripts to manage ongoing data processing and data transfers. This exercise-based book also includes three rich real-world case studies, giving you an opportunity to apply and extend the concepts you studied earlier.Irrespective of your expertise level with Esri software or the Python language, you’ll benefit from this book’s hands-on approach, which takes you through the major uses of Python for ArcGIS Pro to boost your ArcGIS productivity.

3458
Ebook

IBM Cloud Pak for Data. An enterprise platform to operationalize data, analytics, and AI

Hemanth Manda, Sriram Srinivasan, Deepak Rangarao

Cloud Pak for Data is IBM's modern data and AI platform that includes strategic offerings from its data and AI portfolio delivered in a cloud-native fashion with the flexibility of deployment on any cloud. The platform offers a unique approach to addressing modern challenges with an integrated mix of proprietary, open-source, and third-party services.You'll begin by getting to grips with key concepts in modern data management and artificial intelligence (AI), reviewing real-life use cases, and developing an appreciation of the AI Ladder principle. Once you've gotten to grips with the basics, you will explore how Cloud Pak for Data helps in the elegant implementation of the AI Ladder practice to collect, organize, analyze, and infuse data and trustworthy AI across your business. As you advance, you'll discover the capabilities of the platform and extension services, including how they are packaged and priced. With the help of examples present throughout the book, you will gain a deep understanding of the platform, from its rich capabilities and technical architecture to its ecosystem and key go-to-market aspects.By the end of this IBM book, you'll be able to apply IBM Cloud Pak for Data's prescriptive practices and leverage its capabilities to build a trusted data foundation and accelerate AI adoption in your enterprise.

3459
Audiobook

Building Industrial Digital Twins. Design, develop, and deploy digital twin solutions for real-world industries using Azure Digital Twins

Shyam Varan Nath, Pieter van Schalkwyk, Dan Isaacs

Digital twin technology enables organizations to create digital representations of physical entities such as assets, systems, and processes throughout their life cycle. It improves asset performance, utilization, and safe operations and reduces manufacturing, operational, and maintenance costs.The audiobook begins by introducing you to the concept of digital twins and sets you on a path to develop a digital twin strategy to positively influence business outcomes in your organization. You'll understand how digital twins relate to physical assets, processes, and technology and learn about the prerequisite conditions for the right platform, scale, and use case of your digital twins. You'll then get hands-on with Microsoft's Azure Digital Twins platform for your digital twin development and deployment. The audiobook equips you with the knowledge to evaluate enterprise and specialty platforms, including the cloud and industrial IoT required to set up your digital twin prototype. Once you've built your prototype, you'll be able to test and validate it relative to the intended purpose of the twin through pilot deployment, full deployment, and value tracking techniques.By the end of this audiobook, you'll have developed the skills to build and deploy your digital twin prototype, or minimum viable twin, to demonstrate, assess, and monitor your asset at specific stages in the asset life cycle.

3460
Ebook
3461
Ebook

Apache Airflow Best Practices. A practical guide to orchestrating data workflow with Apache Airflow

Dylan Intorf, Dylan Storey, Kendrick van Doorn

Data professionals face the challenge of managing complex data pipelines, orchestrating workflows across diverse systems, and ensuring scalable, reliable data processing. This definitive guide to mastering Apache Airflow, written by experts in engineering, data strategy, and problem-solving across tech, financial, and life sciences industries, is your key to overcoming these challenges. Covering everything from Airflow fundamentals to advanced topics such as custom plugin development, multi-tenancy, and cloud deployment, this book provides a structured approach to workflow orchestration. You’ll start with an introduction to data orchestration and Apache Airflow 2.x updates, followed by DAG authoring, managing Airflow components, and connecting to external data sources. Through real-world use cases, you’ll learn how to implement ETL pipelines and orchestrate ML workflows in your environment, and scale Airflow for high availability and performance. You’ll also learn how to deploy Airflow in cloud environments, tackle operational considerations for scaling, and apply best practices for CI/CD and monitoring.By the end of this book, you’ll be proficient in operating and using Apache Airflow, authoring high-quality workflows in Python, and making informed decisions crucial for production-ready Airflow implementations.

3462
Ebook

Python Data Cleaning Cookbook. Modern techniques and Python tools to detect and remove dirty data and extract key insights

Michael Walker

Getting clean data to reveal insights is essential, as directly jumping into data analysis without proper data cleaning may lead to incorrect results. This book shows you tools and techniques that you can apply to clean and handle data with Python. You'll begin by getting familiar with the shape of data by using practices that can be deployed routinely with most data sources. Then, the book teaches you how to manipulate data to get it into a useful form. You'll also learn how to filter and summarize data to gain insights and better understand what makes sense and what does not, along with discovering how to operate on data to address the issues you've identified. Moving on, you'll perform key tasks, such as handling missing values, validating errors, removing duplicate data, monitoring high volumes of data, and handling outliers and invalid dates. Next, you'll cover recipes on using supervised learning and Naive Bayes analysis to identify unexpected values and classification errors, and generate visualizations for exploratory data analysis (EDA) to visualize unexpected values. Finally, you'll build functions and classes that you can reuse without modification when you have new data. By the end of this Python book, you'll be equipped with all the key skills that you need to clean data and diagnose problems within it.

3463
Ebook
3464
Ebook
3465
Ebook

Windows Server 2012 Hyper-V Cookbook. To master the administration of Windows Server Hyper-V, this is the book you need. With over 50 useful recipes, plus handy tips and tricks, it helps you handle virtualization using best practice principles

Leandro Carvalho

Virtualization has proved that it can help organizations to reduce costs, and the Private Cloud has created a revolution in the way we manage and control our servers with centralization and elasticity. The new Windows Server 2012 Hyper-V release from Microsoft comes with a myriad of improvements in areas such as mobility, high availability and elasticity, bringing everything you need to create, manage and build the core components of a Microsoft Private Cloud for virtualized workloads.Windows Server 2012 Hyper-V Cookbook is the perfect accompaniment for Hyper-V administrators looking to take advantage of all the exciting new features the release has to offer. Through practical recipes, you'll master Hyper-V deployment, migration and management. Windows Server 2012 Hyper-V Cookbook is an essential resource for any Hyper-V administrator looking to migrate, install and manage their virtual machine efficiently. With all the features of Windows Server 2012 Hyper-V covered, you will learn everything from installation to disaster recovery, security, high availability, configuration, automation, architecture and monitoring, all in a practical recipe format. The book also includes new features such as Storage and Shared Nothing Live Migration, Hyper-V Replica and Network Virtualization and much more.With Windows Server 2012 Hyper-V Cookbook in hand, you'll be equipped to manage your Private Cloud with ease.

3466
Ebook

Hands-On Ethical Hacking Tactics. Strategies, tools, and techniques for effective cyber defense

Shane Hartman, Ken Dunham

If you’re an ethical hacker looking to boost your digital defenses and stay up to date with the evolving cybersecurity landscape, then this book is for you. Hands-On Ethical Hacking Tactics is a comprehensive guide that will take you from fundamental to advanced levels of ethical hacking, offering insights into both offensive and defensive techniques. Written by a seasoned professional with 20+ years of experience, this book covers attack tools, methodologies, and procedures, helping you enhance your skills in securing and defending networks.The book starts with foundational concepts such as footprinting, reconnaissance, scanning, enumeration, vulnerability assessment, and threat modeling. Next, you’ll progress to using specific tools and procedures for hacking Windows, Unix, web servers, applications, and databases. The book also gets you up to speed with malware analysis. Throughout the book, you’ll experience a smooth transition from theoretical concepts to hands-on techniques using various platforms. Finally, you’ll explore incident response, threat hunting, social engineering, IoT hacking, and cloud exploitation, which will help you address the complex aspects of ethical hacking.By the end of this book, you’ll have gained the skills you need to navigate the ever-changing world of cybersecurity.

3467
Ebook

The Definitive Guide to Power Query (M). Mastering complex data transformation with Power Query

Gregory Deckler, Rick de Groot, Melissa de Korte, Brian Julius

Data transformation is a critical step in building data models and business intelligence reports. Power Query is an invaluable tool for anyone who wants to master data transformation, and this book will equip you with the knowledge and skills to make the most of it.The Definitive Guide to Power Query (M) will help you build a solid foundation in the Power Query M language. As you progress through the chapters, you'll learn how to use that knowledge to implement advanced concepts and data transformations. This will set the stage for an uncompromisingly thorough exploration of the Power Query M Language.You'll also get to grips with optimizing performance, handling errors, and implementing efficient data processing techniques. As this is a hands-on guide, the practical examples in the chapters will help you gain the skills to apply Power Query to real-world problems and improve your data analysis capabilities.By the end of this book, you will be able to leverage all of Power Query's remarkable capabilities for data transformation.

3468
Ebook
3469
Ebook

Learning Python Application Development. Click here to enter text

Ninad Sathaye

Python is one of the most widely used dynamic programming languages, supported by a rich set of libraries and frameworks that enable rapid development. But fast paced development often comes with its own baggage that could bring down the quality, performance, and extensibility of an application. This book will show you ways to handle such problems and write better Python applications.From the basics of simple command-line applications, develop your skills all the way to designing efficient and advanced Python apps. Guided by a light-hearted fantasy learning theme, overcome the real-world problems of complex Python development with practical solutions. Beginning with a focus on robustness, packaging, and releasing application code, you’ll move on to focus on improving application lifetime by making code extensible, reusable, and readable. Get to grips with Python refactoring, design patterns and best practices. Techniques to identify the bottlenecks and improve performance are covered in a series of chapters devoted to performance, before closing with a look at developing Python GUIs.

3470
Ebook
3471
3472
Ebook

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

3473
Ebook

Practical Threat Intelligence and Data-Driven Threat Hunting. A hands-on guide to threat hunting with the ATT&CK™ Framework and open source tools

Valentina Costa-Gazcón

Threat hunting (TH) provides cybersecurity analysts and enterprises with the opportunity to proactively defend themselves by getting ahead of threats before they can cause major damage to their business.This book is not only an introduction for those who don’t know much about the cyber threat intelligence (CTI) and TH world, but also a guide for those with more advanced knowledge of other cybersecurity fields who are looking to implement a TH program from scratch.You will start by exploring what threat intelligence is and how it can be used to detect and prevent cyber threats. As you progress, you’ll learn how to collect data, along with understanding it by developing data models. The book will also show you how to set up an environment for TH using open source tools. Later, you will focus on how to plan a hunt with practical examples, before going on to explore the MITRE ATT&CK framework.By the end of this book, you’ll have the skills you need to be able to carry out effective hunts in your own environment.

3474
Ebook
3475
Ebook
3476
Ebook

Hands-On Simulation Modeling with Python. Develop simulation models to get accurate results and enhance decision-making processes

Giuseppe Ciaburro

Simulation modeling helps you to create digital prototypes of physical models to analyze how they work and predict their performance in the real world. With this comprehensive guide, you'll understand various computational statistical simulations using Python.Starting with the fundamentals of simulation modeling, you'll understand concepts such as randomness and explore data generating processes, resampling methods, and bootstrapping techniques. You'll then cover key algorithms such as Monte Carlo simulations and Markov decision processes, which are used to develop numerical simulation models, and discover how they can be used to solve real-world problems. As you advance, you'll develop simulation models to help you get accurate results and enhance decision-making processes. Using optimization techniques, you'll learn to modify the performance of a model to improve results and make optimal use of resources. The book will guide you in creating a digital prototype using practical use cases for financial engineering, prototyping project management to improve planning, and simulating physical phenomena using neural networks.By the end of this book, you'll have learned how to construct and deploy simulation models of your own to overcome real-world challenges.

3477
Ebook
3478
Ebook
3479
Ebook

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.

3480
Ebook