ArchiCAD 19 - The Definitive Guide. Dive into the wonderful world of Building Information Modeling (BIM) to become a productive ArchiCAD user

Adam R Rendek, Scott H MacKenzie

Building AI Applications with ChatGPT APIs. Master ChatGPT, Whisper, and DALL-E APIs by building ten innovative AI projects

Martin Yanev

Combining ChatGPT APIs with Python opens doors to building extraordinary AI applications. By leveraging these APIs, you can focus on the application logic and user experience, while ChatGPT’s robust NLP capabilities handle the intricacies of human-like text understanding and generation.This book is a guide for beginners to master the ChatGPT, Whisper, and DALL-E APIs by building ten innovative AI projects. These projects offer practical experience in integrating ChatGPT with frameworks and tools such as Flask, Django, Microsoft Office APIs, and PyQt.Throughout this book, you’ll get to grips with performing NLP tasks, building a ChatGPT clone, and creating an AI-driven code bug fixing SaaS application. You’ll also cover speech recognition, text-to-speech functionalities, language translation, and generation of email replies and PowerPoint presentations. This book teaches you how to fine-tune ChatGPT and generate AI art using DALL-E APIs, and then offers insights into selling your apps by integrating ChatGPT API with Stripe. With practical examples available on GitHub, the book gradually progresses from easy to advanced topics, cultivating the expertise required to develop, deploy, and monetize your own groundbreaking applications by harnessing the full potential of ChatGPT APIs.

CI/CD Design Patterns. Design and implement CI/CD using proven design patterns

Garima Bajpai, Michel Schildmeijer, Muktesh Mishra, Pawel Piwosz, ...

The fast-changing world of software development demands robust CI/CD solutions that go beyond traditional methods to address the complexities of modern pipelines. This practical guide presents proven design patterns to streamline your CI/CD processes, tackling pain points often overlooked by other resources. This book introduces continuous delivery design patterns to help practitioners and engineering teams design, adopt, and implement CI/CD. Drawing from decades of combined industry experience, the expert author team—including DevOps and cloud leader Garima Bajpai, industry expert Michel Schildmeijer, CI/CD framework creator Pawel Piwosz, and open source advocate Muktesh Mishra—provides invaluable insights from leading voices in the industry.The book lays a solid foundation by starting with the importance of CI/CD design patterns, components, and principles. You’ll learn strategies for scaling CI/CD with a focus on performance, security, measurements, and pipeline auditability, along with infrastructure and release automation. The book also covers advanced design patterns that integrate machine learning, generative AI, and near real-time CI/CD processes.By the end of this book, you’ll have a deep understanding of continuous delivery design patterns, a solid foundation for audits and controls, and be able to mitigate risks associated with the rapid integration of modern technology into the SDLC.

Tableau Prep Cookbook. Use Tableau Prep to clean, combine, and transform your data for analysis

Hendrik Kleine

Tableau Prep is a tool in the Tableau software suite, created specifically to develop data pipelines. This book will describe, in detail, a variety of scenarios that you can apply in your environment for developing, publishing, and maintaining complex Extract, Transform and Load (ETL) data pipelines.The book starts by showing you how to set up Tableau Prep Builder. You’ll learn how to obtain data from various data sources, including files, databases, and Tableau Extracts. Next, the book demonstrates how to perform data cleaning and data aggregation in Tableau Prep Builder. You’ll also gain an understanding of Tableau Prep Builder and how you can leverage it to create data pipelines that prepare your data for downstream analytics processes, including reporting and dashboard creation in Tableau. As part of a Tableau Prep flow, you’ll also explore how to use R and Python to implement data science components inside a data pipeline. In the final chapter, you’ll apply the knowledge you’ve gained to build two use cases from scratch, including a data flow for a retail store to prepare a robust dataset using multiple disparate sources and a data flow for a call center to perform ad hoc data analysis.By the end of this book, you’ll be able to create, run, and publish Tableau Prep flows and implement solutions to common problems in data pipelines.

Flutter Design Patterns and Best Practices. Build scalable, maintainable, and production-ready apps using effective architectural principles

Daria Orlova, Esra Kadah, Jaime Blasco

Flutter’s rapid adoption by developers and businesses alike has led to an increased demand for skilled developers who can deliver high-quality Flutter apps. Flutter can be a great tool to develop apps for yourself, but you don’t always need to consider things like scalability or business goals as a hobbyist. When you build apps for a business, however, you must use specific tools to help the business achieve its goals. This requires solutions to be fast, reliable, and delivered on time. This book will help you meet these business requirements.You'll begin by learning how to build responsive UIs that work on all devices. Next, you'll delve into state management, understanding how to select the appropriate solution and gaining hands-on experience with InheritedWidget, ChangeNotifier, and BLoC. Later, you'll move on to high-level practices such as layered architecture, dependency injection, and repository patterns. The book will also show you how to develop features of any complexity, such as multithreading and native layer implementations. You'll also learn how to ensure the quality of your solutions by prioritizing testing.By the end of this book, you'll be able to deliver well-architected Flutter projects that are stable, scalable, and maintainable.

Microsoft Dynamics GP 2013 Cookbook. For beginners or intermediate users this is a highly practical cookbook for Microsoft Dynamics GP. Now you can really get to grips with enterprise resource planning by engaging with real-world solutions through recipes and screenshots

Mark Polino, Ian Grieve

Microsoft Dynamics GP is an enterprise resource planning system, essentially an accounting system on steroids, designed for mid-sized organizations. The implementation of Dynamics GP is usually considered to be complex, and people often realize there must be more efficient ways of working with the system. This book will show readers how to improve their use of Dynamics GP and get the most out of this tool quickly and effectively.Microsoft Dynamics GP 2013 Cookbook picks up where implementation training leaves off. Whether you are new or experienced you will find useful recipes for improving the way you use and work with Dynamics GP. The clear recipe steps and screenshots make implementing these solutions easy for users of any level and will be sure to improve your efficiency with the Dynamics GP 2013 system.The book starts with recipes designed to enhance the usefulness of Microsoft Dynamics GP by personalizing the look and feel of the application. Most of the recipes are designed to give tips for a typical installation of Dynamics GP, including core financials and distribution modules. The book then moves through recipes that include automating Dynamics GP to allow users or administrators to focus on value adding tasks, harnessing the power of SmartLists to leverage both simplicity and power, connecting Dynamics GP to Microsoft Office 2013, exposing hidden features in Dynamics GP, and much more!Through the final chapters, the book covers system maintenance and extending Dynamics GP with the Support Debugging Tool and Professional Services Tools Library.

Linux Mint Essentials. A practical guide to Linux Mint for the novice to the professional

Jay LaCroix

VMware vRealize Operations Performance and Capacity Management. A hands-on guide to mastering performance and capacity management in a virtual data center

Iwan 'e1' Rahabok

Generative AI Art. Unleash Your Creativity with Generative AI Art for Beginners

Oliver Theobald

The course introduces the basic concepts of artificial intelligence and its application in art, making it accessible even to those without a technical background. This foundation paves the way for exploring the nuances of effective prompt crafting, a critical skill for generating bespoke AI artwork.The course focuses on hands-on demonstrations with leading AI art software, including Craiyon and Midjourney, offering step-by-step guides to harness these tools effectively. Through practical examples, learners will understand how to navigate image prompts, masking techniques, framing, and lighting to enhance the visual appeal of their creations. The significance of navigating these elements is underscored, highlighting their role in achieving consistency and originality in AI-generated art.The course wraps up by delving into the remixing of popular art styles, the art of creating compelling text prompts, and the critical aspects of image rights, ethics, privacy, and originality in the digital art space. By concluding with recommended resources, learners are equipped to continue their journey in AI art, fueled by inspiration and a solid understanding of the field's possibilities and responsibilities.

Democratizing No-Code Application Development with Bubble. A beginner's guide to rapidly building applications with powerful features of Bubble without code

Caio Calderari

In an era marked by a growing demand for tech solutions and a shortage of skilled developers, companies grapple with hiring expenses. No-code tools offer a faster, more affordable software development alternative. Leading this no-code revolution is Bubble, enabling newcomers to construct impressive web applications in a matter of weeks if not days.Written by Caio Calderari, a seasoned no-code expert with 17 years of experience to offers practical advice for mastering no-code application development. You'll learn to plan your app with Bubble's visual builder features and UI components and implement frontend functionalities such as customizing layouts and creating responsive user interfaces. The book covers workflow automation, database management, security best practices, and backend functionality setup and advances to span the Bubble plugin ecosystem and API integration for third-party services to improve the app's functionality. Additionally, you'll explore app testing, debugging, performance monitoring, and maintenance. From launching with a custom domain to gathering user feedback for continuous improvement and optimization of performance and scalability, you’ll learn every aspect of Bubble's app development and deployment.By the end of this book, you'll know how to bring your digital ideas to life without writing code.

Mastering SAS Programming for Data Warehousing. An advanced programming guide to designing and managing Data Warehouses using SAS

Monika Wahi

SAS is used for various functions in the development and maintenance of data warehouses, thanks to its reputation of being able to handle ’big data’.This book will help you learn the pros and cons of storing data in SAS. As you progress, you’ll understand how to document and design extract-transform-load (ETL) protocols for SAS processes. Later, you’ll focus on how the use of SAS arrays and macros can help standardize ETL. The book will also help you examine approaches for serving up data using SAS and explore how connecting SAS to other systems can enhance the data warehouse user’s experience.By the end of this data management book, you will have a fundamental understanding of the roles SAS can play in a warehouse environment, and be able to choose wisely when designing your data warehousing processes involving SAS.

Architecting Cloud Native Applications. Design high-performing and cost-effective applications for the cloud

Kamal Arora, Erik Farr, John Gilbert, Piyum Zonooz

Cloud computing has proven to be the most revolutionary IT development since virtualization. Cloud native architectures give you the benefit of more flexibility over legacy systems.This Learning Path teaches you everything you need to know for designing industry-grade cloud applications and efficiently migrating your business to the cloud. It begins by exploring the basic patterns that turn your database inside out to achieve massive scalability. You’ll learn how to develop cloud native architectures using microservices and serverless computing as your design principles. Then, you’ll explore ways to continuously deliver production code by implementing continuous observability in production. In the concluding chapters, you’ll learn about various public cloud architectures ranging from AWS and Azure to the Google Cloud Platform, and understand the future trends and expectations of cloud providers.By the end of this Learning Path, you’ll have learned the techniques to adopt cloud native architectures that meet your business requirements. This Learning Path includes content from the following Packt products:• Cloud Native Development Patterns and Best Practices by John Gilbert• Cloud Native Architectures by Erik Farr et al.

Adversarial Tradecraft in Cybersecurity. Offense versus defense in real-time computer conflict

Dan Borges

Little has been written about what to do when live hackers are on your system and running amok. Even experienced hackers tend to choke up when they realize the network defender has caught them and is zoning in on their implants in real time. This book will provide tips and tricks all along the kill chain of an attack, showing where hackers can have the upper hand in a live conflict and how defenders can outsmart them in this adversarial game of computer cat and mouse.This book contains two subsections in each chapter, specifically focusing on the offensive and defensive teams. It begins by introducing you to adversarial operations and principles of computer conflict where you will explore the core principles of deception, humanity, economy, and more about human-on-human conflicts. Additionally, you will understand everything from planning to setting up infrastructure and tooling that both sides should have in place.Throughout this book, you will learn how to gain an advantage over opponents by disappearing from what they can detect. You will further understand how to blend in, uncover other actors’ motivations and means, and learn to tamper with them to hinder their ability to detect your presence. Finally, you will learn how to gain an advantage through advanced research and thoughtfully concluding an operation.By the end of this book, you will have achieved a solid understanding of cyberattacks from both an attacker’s and a defender’s perspective.

Driving DevOps with Value Stream Management. Improve IT value stream delivery with a proven VSM methodology to compete in the digital economy

Cecil 'Gary' Rupp, Helen Beal

Value Stream Management (VSM) opens the door to maximizing your DevOps pipeline investments by improving flows and eliminating waste. VSM and DevOps together deliver value stream improvements across enterprises for a competitive advantage in the digital world. Driving DevOps with Value Stream Management provides a comprehensive review and analysis of industry-proven VSM methods and tools to integrate, streamline, and orchestrate activities within a DevOps-oriented value stream.You'll start with an introduction to the concepts of delivering value and understand how VSM methods and tools support improved value delivery from a Lean production perspective. The book covers the complexities of implementing modern CI/CD and DevOps pipelines and then guides you through an eight-step VSM methodology with the help of a use case showing an Agile team's efforts to install a CI/CD pipeline. Free from marketing hype or vendor bias, this book presents the current VSM tool vendors and customer use cases that showcase their products' strengths. As you advance through the book, you'll learn four approaches to implementing a DevOps pipeline and get guidance on choosing the best fit.By the end of this VSM book, you'll be ready to develop and execute a plan to streamline your software delivery pipelines and improve your organization's value stream delivery.

Xamarin 4.x Cross-Platform Application Development. Click here to enter text. - Third Edition

Jonathan Peppers

Xamarin is a leading cross-platform application development tool used by top companies such as Coca-Cola, Honeywell, and Alaska Airlines to build apps. Version 4 features significant updates to the platform including the release of Xamarin.Forms 2.0 and improvements have been made to the iOS and Android designers. Xamarin was acquired by Microsoft so it is now a part of the Visual Studio family.This book will show you how to build applications for iOS, Android, and Windows. You will be walked through the process of creating an application that comes complete with a back-end web service and native features such as GPS location, camera, push notifications, and other core features. Additionally, you’ll learn how to use external libraries with Xamarin and Xamarin.Forms to create user interfaces. This book also provides instructions for Visual Studio and Windows. This edition has been updated with new screenshots and detailed steps to provide you with a holistic overview of the new features in Xamarin 4.

C# 13 and .NET 9 - Modern Cross-Platform Development Fundamentals. Start building websites and services with ASP.NET Core 9, Blazor, and EF Core 9 - Ninth Edition

Mark J. Price

This Packt bestseller continues to be the definitive guide to modern cross-platform development. The 9th edition of C# 13 and .NET 9 – Modern Cross-Platform Development Fundamentals has been updated to cover the latest features and improvements in .NET 9 and C# 13. You'll start by mastering object-oriented programming, learning how to write, test, and debug functions, and implementing interfaces. You'll then dive into .NET APIs for data management, filesystem operations, and serialization.This latest edition integrates .NET 9 enhancements into its examples: faster exceptions and new LINQ methods. New ASP.NET Core 9 features include optimized static assets, built-in OpenAPI document generation, and the HybridCache.Practical examples, such as building websites and services with ASP.NET Core, have been refreshed to utilize the latest .NET 9 features. The book also introduces Blazor, with its new unified hosting model for unparalleled code reusability. With these updates, you'll learn how to build robust applications and services efficiently and effectively.By the end of this book, you'll have the knowledge and confidence to create professional and high-performance web applications using the latest technologies in C# 13 and .NET 9.

Spark for Data Science. Click here to enter text

Srinivas Duvvuri, Bikramaditya Singhal

This is the era of Big Data. The words ‘Big Data’ implies big innovation and enables a competitive advantage for businesses. Apache Spark was designed to perform Big Data analytics at scale, and so Spark is equipped with the necessary algorithms and supports multiple programming languages.Whether you are a technologist, a data scientist, or a beginner to Big Data analytics, this book will provide you with all the skills necessary to perform statistical data analysis, data visualization, predictive modeling, and build scalable data products or solutions using Python, Scala, and R.With ample case studies and real-world examples, Spark for Data Science will help you ensure the successful execution of your data science projects.

Learning Grunt. Monitor and automate complex JavaScript tasks and processes by obtaining a practical understanding of Grunt

Douglas Reynolds

With the increasing focus on task automation, the Grunt task runner is a vast platform that allows you to incorporate automation into your workflows.At the outset, you will learn how to use Node.js and NMP through an example. You will then find out how to build a sample app and the development environment for it. You will further delve into the implementation of Grunt plugins and the configuration of Grunt tasks. Furthermore, you will explore the various methods and packages for workflow automation. The final chapter will cover some advanced concepts, such as configuration variables and how to create a Grunt plugin.By the end of the book, you will have gained the fundamentals of Grunt and progressed through advanced concepts, including building a Grunt plugin.

Python: End-to-end Data Analysis. Leverage the power of Python to clean, scrape, analyze, and visualize your data

Ivan Idris, Luiz Felipe Martins, Martin Czygan, Phuong Vo.T.H, ...

Data analysis is the process of applying logical and analytical reasoning to study each component of data present in the system. Python is a multi-domain, high-level, programming language that offers a range of tools and libraries suitable for all purposes, it has slowly evolved as one of the primary languages for data science. Have you ever imagined becoming an expert at effectively approaching data analysis problems, solving them, and extracting all of the available information from your data? If yes, look no further, this is the course you need!In this course, we will get you started with Python data analysis by introducing the basics of data analysis and supported Python libraries such as matplotlib, NumPy, and pandas. Create visualizations by choosing color maps, different shapes, sizes, and palettes then delve into statistical data analysis using distribution algorithms and correlations. You’ll then find your way around different data and numerical problems, get to grips with Spark and HDFS, and set up migration scripts for web mining. You’ll be able to quickly and accurately perform hands-on sorting, reduction, and subsequent analysis, and fully appreciate how data analysis methods can support business decision-making. Finally, you will delve into advanced techniques such as performing regression, quantifying cause and effect using Bayesian methods, and discovering how to use Python’s tools for supervised machine learning.The course provides you with highly practical content explaining data analysis with Python, from the following Packt books:1. Getting Started with Python Data Analysis.2. Python Data Analysis Cookbook.3. Mastering Python Data Analysis.By the end of this course, you will have all the knowledge you need to analyze your data with varying complexity levels, and turn it into actionable insights.

C++ Programming for Linux Systems. Create robust enterprise software for Linux and Unix-based operating systems

Desislav Andreev, Stanimir Lukanov, Milena Lazarova

Around 35 million Linux and almost 2 billion Android users rely on C++ for everything from the simplest embedded and IoT devices to cloud services, supercomputing, and space exploration. To help you produce high-quality software, two industry experts have transformed their knowledge and experience into practical examples in system programming with C++ Programming for Linux Systems.In this book, you'll explore the latest C++20 features, while working on multiple specific use cases. You’ll get familiar with the coroutines and modern approaches in concurrent and multithreaded programming. You'll also learn to reshape your thinking when analyzing system behavior in Linux (POSIX) environments. Additionally, you'll discover advanced discussions and novel solutions for complex challenges, while approaching trivial system operations with a new outlook and learning to choose the best design for your particular case.You can use this workbook as an introduction to system programming and software design in Linux or any Unix-based environment. You’ll also find it useful as a guideline or a supplement to any C++ book.By the end of this book, you’ll have gained advanced knowledge and skills for working with Linux or any Unix-based environment.

The Unsupervised Learning Workshop. Get started with unsupervised learning algorithms and simplify your unorganized data to help make future predictions

Aaron Jones, Christopher Kruger, Benjamin Johnston

Do you find it difficult to understand how popular companies like WhatsApp and Amazon find valuable insights from large amounts of unorganized data? The Unsupervised Learning Workshop will give you the confidence to deal with cluttered and unlabeled datasets, using unsupervised algorithms in an easy and interactive manner.The book starts by introducing the most popular clustering algorithms of unsupervised learning. You'll find out how hierarchical clustering differs from k-means, along with understanding how to apply DBSCAN to highly complex and noisy data. Moving ahead, you'll use autoencoders for efficient data encoding.As you progress, you’ll use t-SNE models to extract high-dimensional information into a lower dimension for better visualization, in addition to working with topic modeling for implementing natural language processing (NLP). In later chapters, you’ll find key relationships between customers and businesses using Market Basket Analysis, before going on to use Hotspot Analysis for estimating the population density of an area.By the end of this book, you’ll be equipped with the skills you need to apply unsupervised algorithms on cluttered datasets to find useful patterns and insights.

Deep Learning from the Basics. Python and Deep Learning: Theory and Implementation

Koki Saitoh

Deep learning is rapidly becoming the most preferred way of solving data problems. This is thanks, in part, to its huge variety of mathematical algorithms and their ability to find patterns that are otherwise invisible to us.Deep Learning from the Basics begins with a fast-paced introduction to deep learning with Python, its definition, characteristics, and applications. You’ll learn how to use the Python interpreter and the script files in your applications, and utilize NumPy and Matplotlib in your deep learning models. As you progress through the book, you’ll discover backpropagation—an efficient way to calculate the gradients of weight parameters—and study multilayer perceptrons and their limitations, before, finally, implementing a three-layer neural network and calculating multidimensional arrays.By the end of the book, you’ll have the knowledge to apply the relevant technologies in deep learning.

Interpretable Machine Learning with Python. Build explainable, fair, and robust high-performance models with hands-on, real-world examples - Second Edition

Serg Masís, Aleksander Molak, Denis Rothman

Interpretable Machine Learning with Python, Second Edition, brings to light the key concepts of interpreting machine learning models by analyzing real-world data, providing you with a wide range of skills and tools to decipher the results of even the most complex models.Build your interpretability toolkit with several use cases, from flight delay prediction to waste classification to COMPAS risk assessment scores. This book is full of useful techniques, introducing them to the right use case. Learn traditional methods, such as feature importance and partial dependence plots to integrated gradients for NLP interpretations and gradient-based attribution methods, such as saliency maps.In addition to the step-by-step code, you’ll get hands-on with tuning models and training data for interpretability by reducing complexity, mitigating bias, placing guardrails, and enhancing reliability.By the end of the book, you’ll be confident in tackling interpretability challenges with black-box models using tabular, language, image, and time series data.

AWS SysOps Cookbook. Practical recipes to build, automate, and manage your AWS-based cloud environments - Second Edition

Eric Z. Beard, Rowan Udell, Lucas Chan

AWS is an on-demand remote computing service providing cloud infrastructure over the internet with storage, bandwidth, and customized support for APIs. This updated second edition will help you implement these services and efficiently administer your AWS environment.You will start with the AWS fundamentals and then understand how to manage multiple accounts before setting up consolidated billing. The book will assist you in setting up reliable and fast hosting for static websites, sharing data between running instances and backing up data for compliance. By understanding how to use compute service, you will also discover how to achieve quick and consistent instance provisioning. You’ll then learn to provision storage volumes and autoscale an app server. Next, you’ll explore serverless development with AWS Lambda, and gain insights into using networking and database services such as Amazon Neptune. The later chapters will focus on management tools like AWS CloudFormation, and how to secure your cloud resources and estimate costs for your infrastructure. Finally, you’ll use the AWS well-architected framework to conduct a technology baseline review self-assessment and identify critical areas for improvement in the management and operation of your cloud-based workloads.By the end of this book, you’ll have the skills to effectively administer your AWS environment.