Taking Flutter to the Web
Using a shared codebase in addition to an extensive range of tools in the Flutter ecosystem optimized for browsers, the Flutter framework has expanded to enable you to bring your mobile apps to the web. You'll find out how web developers can leverage the Flutter framework for web apps with this hands-on guide. Taking Flutter to the Web will help you learn all about the Flutter ecosystem by covering the tools and project structure that allows you to easily integrate Flutter into your web stack. You'll understand the concepts of cross-platform UI development and how they can be applied to web platforms. As you explore Flutter on the web, you'll become well-versed with using Flutter as an alternative UI platform for building adaptive and responsive designs for web apps. By the end of this Flutter book, you'll have built and deployed a complete Flutter app for the web and have a roadmap ready to target the web for your existing Flutter mobile apps. ...
Using a shared codebase in addition to an extensive range of tools in the Flutter ecosystem optimized for browsers, the Flutter framework has expanded to enable you to bring your mobile apps to the web. You'll find out how web developers can leverage the Flutter framework for web apps with this hands-on guide. Taking Flutter to the Web will help you learn all about the Flutter ecosystem by covering the tools and project structure that allows you to easily integrate Flutter into your web stack. You'll understand the concepts of cross-platform UI development and how they can be applied to web platforms. As you explore Flutter on the web, you'll become well-versed with using Flutter as an alternative UI platform for building adaptive and responsive designs for web apps. By the end of this Flutter book, you'll have built and deployed a complete Flutter app for the web and have a roadmap ready to target the web for your existing Flutter mobile apps. ...
Building Information Modeling
This book is geared towards users who have no Revit background. It starts with Revit basics such as how to create walls, floors, roof, but it also covers more advanced topics such as creating a complex object, preparing construction documents, and modeling mechanical and structural systems. This book is an open education platform for Architecture and Civil Engineering students to learn Revit and provides students with adequate, coherent, consistent, and cost-saving educational resources. It includes both text and video of each chapter to help students have access to both step-by-step written instructions and videos of each lesson because software instructions are mostly narratives and difficult for students to visualize the procedures and follow the instructions. BIM is one of the most recent developments influencing the architecture, engineering, and construction (AEC) industry. BIM provides the opportunity to improve poor communication and information sharing among building own ...
This book is geared towards users who have no Revit background. It starts with Revit basics such as how to create walls, floors, roof, but it also covers more advanced topics such as creating a complex object, preparing construction documents, and modeling mechanical and structural systems. This book is an open education platform for Architecture and Civil Engineering students to learn Revit and provides students with adequate, coherent, consistent, and cost-saving educational resources. It includes both text and video of each chapter to help students have access to both step-by-step written instructions and videos of each lesson because software instructions are mostly narratives and difficult for students to visualize the procedures and follow the instructions. BIM is one of the most recent developments influencing the architecture, engineering, and construction (AEC) industry. BIM provides the opportunity to improve poor communication and information sharing among building own ...
Power Platform and Dynamics 365 CE for Absolute Beginners
This is your complete guide to less-code and no-code theories, along with practical application of Microsoft Power Apps and Dynamics 365 CE/CRM Apps. The book covers topics including the configurations, customizations, and enhancements in Microsoft Power Apps and Dynamics 365 CE/CRM Apps. You will start by learning Microsoft Dataverse concepts followed by Microsoft Canvas Apps, model-driven apps, and PowerApps Portals. You will understand how to work with Power Virtual Agent, Power BI, and Power Automate, and how to use AI in Power Apps. The book provides important integration concepts for Power Apps, Dynamics 365 CE/CRM Apps, and Microsoft Azure. You will know how to customize Dynamics 365 CE/CRM Apps and Power Apps using OOTB capabilities. After reading this book, you will understand how Microsoft Power Apps and Dynamics 365 CE/CRM Apps can be used, configured, and customized for your business needs using customer data. You will be able to increase efficiency in customer data m ...
This is your complete guide to less-code and no-code theories, along with practical application of Microsoft Power Apps and Dynamics 365 CE/CRM Apps. The book covers topics including the configurations, customizations, and enhancements in Microsoft Power Apps and Dynamics 365 CE/CRM Apps. You will start by learning Microsoft Dataverse concepts followed by Microsoft Canvas Apps, model-driven apps, and PowerApps Portals. You will understand how to work with Power Virtual Agent, Power BI, and Power Automate, and how to use AI in Power Apps. The book provides important integration concepts for Power Apps, Dynamics 365 CE/CRM Apps, and Microsoft Azure. You will know how to customize Dynamics 365 CE/CRM Apps and Power Apps using OOTB capabilities. After reading this book, you will understand how Microsoft Power Apps and Dynamics 365 CE/CRM Apps can be used, configured, and customized for your business needs using customer data. You will be able to increase efficiency in customer data m ...
Explainable AI for Practitioners
Most intermediate-level machine learning books focus on how to optimize models by increasing accuracy or decreasing prediction error. But this approach often overlooks the importance of understanding why and how your ML model makes the predictions that it does. Explainability methods provide an essential toolkit for better understanding model behavior, and this practical guide brings together best-in-class techniques for model explainability. Experienced machine learning engineers and data scientists will learn hands-on how these techniques work so that you'll be able to apply these tools more easily in your daily workflow. ...
Most intermediate-level machine learning books focus on how to optimize models by increasing accuracy or decreasing prediction error. But this approach often overlooks the importance of understanding why and how your ML model makes the predictions that it does. Explainability methods provide an essential toolkit for better understanding model behavior, and this practical guide brings together best-in-class techniques for model explainability. Experienced machine learning engineers and data scientists will learn hands-on how these techniques work so that you'll be able to apply these tools more easily in your daily workflow. ...
Version Control with Git, 3rd Edition
Track, branch, merge, and manage code revisions with Git, the free and open source distributed version control system. Through a series of step-by-step tutorials, this practical guide quickly takes you from Git fundamentals to advanced techniques, and provides friendly yet rigorous advice for navigating Git's many functions. You'll learn how to work with everything from small to very large projects with speed and efficiency. In this third edition, authors Prem Kumar Ponuthorai and Jon Loeliger break down Git concepts using a modular approach. You'll start with the basics and fundamental philosophy of Git, followed by intermediate commands to help you efficiently supplement your daily development workflow. Finally, you'll learn advanced Git commands and concepts to understand how Git works under the hood. ...
Track, branch, merge, and manage code revisions with Git, the free and open source distributed version control system. Through a series of step-by-step tutorials, this practical guide quickly takes you from Git fundamentals to advanced techniques, and provides friendly yet rigorous advice for navigating Git's many functions. You'll learn how to work with everything from small to very large projects with speed and efficiency. In this third edition, authors Prem Kumar Ponuthorai and Jon Loeliger break down Git concepts using a modular approach. You'll start with the basics and fundamental philosophy of Git, followed by intermediate commands to help you efficiently supplement your daily development workflow. Finally, you'll learn advanced Git commands and concepts to understand how Git works under the hood. ...
LaTeX Notes for Professionals
The LaTeX Notes for Professionals book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow. ...
The LaTeX Notes for Professionals book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow. ...
Python Feature Engineering Cookbook, 2nd Edition
Feature engineering, the process of transforming variables and creating features, albeit time-consuming, ensures that your machine learning models perform seamlessly. This second edition of Python Feature Engineering Cookbook will take the struggle out of feature engineering by showing you how to use open source Python libraries to accelerate the process via a plethora of practical, hands-on recipes. This updated edition begins by addressing fundamental data challenges such as missing data and categorical values, before moving on to strategies for dealing with skewed distributions and outliers. The concluding chapters show you how to develop new features from various types of data, including text, time series, and relational databases. With the help of numerous open source Python libraries, you'll learn how to implement each feature engineering method in a performant, reproducible, and elegant manner. By the end of this Python book, you will have the tools and expertise needed to ...
Feature engineering, the process of transforming variables and creating features, albeit time-consuming, ensures that your machine learning models perform seamlessly. This second edition of Python Feature Engineering Cookbook will take the struggle out of feature engineering by showing you how to use open source Python libraries to accelerate the process via a plethora of practical, hands-on recipes. This updated edition begins by addressing fundamental data challenges such as missing data and categorical values, before moving on to strategies for dealing with skewed distributions and outliers. The concluding chapters show you how to develop new features from various types of data, including text, time series, and relational databases. With the help of numerous open source Python libraries, you'll learn how to implement each feature engineering method in a performant, reproducible, and elegant manner. By the end of this Python book, you will have the tools and expertise needed to ...
Ansible for Real-Life Automation
Get ready to leverage the power of Ansible's wide applicability to automate and manage IT infrastructure with Ansible for Real-Life Automation. This book will guide you in setting up and managing the free and open source automation tool and remote-managed nodes in the production and dev/staging environments. Starting with its installation and deployment, you'll learn automation using simple use cases in your workplace. You'll go beyond just Linux machines to use Ansible to automate Microsoft Windows machines, network devices, and private and public cloud platforms such as VMWare, AWS, and GCP. As you progress through the chapters, you'll integrate Ansible into your DevOps workflow and deal with application container management and container platforms such as Kubernetes. This Ansible book also contains a detailed introduction to Red Hat Ansible Automation Platform to help you get up to speed with Red Hat AAP and integration with CI/CD and ITSM. What's more, you'll implement effici ...
Get ready to leverage the power of Ansible's wide applicability to automate and manage IT infrastructure with Ansible for Real-Life Automation. This book will guide you in setting up and managing the free and open source automation tool and remote-managed nodes in the production and dev/staging environments. Starting with its installation and deployment, you'll learn automation using simple use cases in your workplace. You'll go beyond just Linux machines to use Ansible to automate Microsoft Windows machines, network devices, and private and public cloud platforms such as VMWare, AWS, and GCP. As you progress through the chapters, you'll integrate Ansible into your DevOps workflow and deal with application container management and container platforms such as Kubernetes. This Ansible book also contains a detailed introduction to Red Hat Ansible Automation Platform to help you get up to speed with Red Hat AAP and integration with CI/CD and ITSM. What's more, you'll implement effici ...
Deep Learning for Natural Language Processing
Deep learning has advanced natural language processing to exciting new levels and powerful new applications! For the first time, computer systems can achieve "human" levels of summarizing, making connections, and other tasks that require comprehension and context. Deep Learning for Natural Language Processing reveals the groundbreaking techniques that make these innovations possible. Stephan Raaijmakers distills his extensive knowledge into useful best practices, real-world applications, and the inner workings of top NLP algorithms. Deep learning has transformed the field of natural language processing. Neural networks recognize not just words and phrases, but also patterns. Models infer meaning from context, and determine emotional tone. Powerful deep learning-based NLP models open up a goldmine of potential uses. Deep Learning for Natural Language Processing teaches you how to create advanced NLP applications using Python and the Keras deep learning library. You'll learn to use ...
Deep learning has advanced natural language processing to exciting new levels and powerful new applications! For the first time, computer systems can achieve "human" levels of summarizing, making connections, and other tasks that require comprehension and context. Deep Learning for Natural Language Processing reveals the groundbreaking techniques that make these innovations possible. Stephan Raaijmakers distills his extensive knowledge into useful best practices, real-world applications, and the inner workings of top NLP algorithms. Deep learning has transformed the field of natural language processing. Neural networks recognize not just words and phrases, but also patterns. Models infer meaning from context, and determine emotional tone. Powerful deep learning-based NLP models open up a goldmine of potential uses. Deep Learning for Natural Language Processing teaches you how to create advanced NLP applications using Python and the Keras deep learning library. You'll learn to use ...
AWS for Non-Engineers
AWS for Non-engineers is for anyone just starting with Amazon Web Services or cloud computing in general - whether you're in customer service, marketing, or management. It's written by Hiroko Nishimura, and is based on her acclaimed video courses that have been taken by over 300,000 learners. In this reader-friendly book, you'll learn how to talk about cloud concepts with engineers, what the cloud could do for your business, and how to start using AWS's amazing services for your own IT tasks. When you're finished, you'll be comfortable with the basics of cloud computing on AWS and you'll be prepared to take the AWS Certified Cloud Practitioner Exam! Millions of companies use Amazon Web Services (AWS) to share documents, run business applications, and store important data. Learning the basics of AWS is a required skill, and this book makes it easy! There's no geeky jargon nor complex code - just crystal-clear explanations of the AWS features you'll use every day. You'll even get tips ...
AWS for Non-engineers is for anyone just starting with Amazon Web Services or cloud computing in general - whether you're in customer service, marketing, or management. It's written by Hiroko Nishimura, and is based on her acclaimed video courses that have been taken by over 300,000 learners. In this reader-friendly book, you'll learn how to talk about cloud concepts with engineers, what the cloud could do for your business, and how to start using AWS's amazing services for your own IT tasks. When you're finished, you'll be comfortable with the basics of cloud computing on AWS and you'll be prepared to take the AWS Certified Cloud Practitioner Exam! Millions of companies use Amazon Web Services (AWS) to share documents, run business applications, and store important data. Learning the basics of AWS is a required skill, and this book makes it easy! There's no geeky jargon nor complex code - just crystal-clear explanations of the AWS features you'll use every day. You'll even get tips ...