Microsoft Orleans for Developers
Use a simple programming model and the .NET language of your choice to build large distributed systems. This book teaches you the Microsoft Orleans framework. Even well-versed professional software developers with expertise in C# (or another language) find themselves unequipped to meet the challenges of distributed systems as infrastructure moves to multi-core; multiple computers are being used for scale, redundancy, and cloud computing; and multi-region deployment is taking place. Orleans handles many of the concerns of distributed computing and cloud infrastructure, allowing you to concentrate on writing application logic. ...
Use a simple programming model and the .NET language of your choice to build large distributed systems. This book teaches you the Microsoft Orleans framework. Even well-versed professional software developers with expertise in C# (or another language) find themselves unequipped to meet the challenges of distributed systems as infrastructure moves to multi-core; multiple computers are being used for scale, redundancy, and cloud computing; and multi-region deployment is taking place. Orleans handles many of the concerns of distributed computing and cloud infrastructure, allowing you to concentrate on writing application logic. ...
Beginning Data Science in R 4, 2nd Edition
Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. Updated for the R 4.0 release, this book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R. Beginning Data Science in R 4, Second Edition details how data science is a combination of statistics, computational science, and machine learning. You'll see how to efficiently structure and mine data to extract useful patterns and build mathematical models. This requires computational methods and programming, and R is an ideal programming language for this. This book is based on a number of lecture notes for classes the author has taught on data science and statistical programming using the R programming language. Modern data analysis requires computational skills and usually a minimum of programming. ...
Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. Updated for the R 4.0 release, this book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R. Beginning Data Science in R 4, Second Edition details how data science is a combination of statistics, computational science, and machine learning. You'll see how to efficiently structure and mine data to extract useful patterns and build mathematical models. This requires computational methods and programming, and R is an ideal programming language for this. This book is based on a number of lecture notes for classes the author has taught on data science and statistical programming using the R programming language. Modern data analysis requires computational skills and usually a minimum of programming. ...
Network Programming with Go Language, 2nd Edition
Dive into key topics in network architecture implemented with the Google-backed open source Go programming language. Networking topics such as data serialization, application level protocols, character sets and encodings are discussed and demonstrated in Go. This book has been updated to the Go version 1.18 which includes modules, generics, and fuzzing along with updated and additional examples. Beyond the fundamentals, Network Programming with Go, Second Edition covers key networking and security issues such as HTTP protocol changes, validation and templates, remote procedure call (RPC) and REST comparison, and more. Additionally, authors Ronald Petty and Jan Newmarch guide you in building and connecting to a complete web server based on Go. Along the way, use of a Go web toolkit (Gorilla) will be employed. This book can serve as both an essential learning guide and reference on networking concepts and implementation in Go. Free source code is available on Github for this book u ...
Dive into key topics in network architecture implemented with the Google-backed open source Go programming language. Networking topics such as data serialization, application level protocols, character sets and encodings are discussed and demonstrated in Go. This book has been updated to the Go version 1.18 which includes modules, generics, and fuzzing along with updated and additional examples. Beyond the fundamentals, Network Programming with Go, Second Edition covers key networking and security issues such as HTTP protocol changes, validation and templates, remote procedure call (RPC) and REST comparison, and more. Additionally, authors Ronald Petty and Jan Newmarch guide you in building and connecting to a complete web server based on Go. Along the way, use of a Go web toolkit (Gorilla) will be employed. This book can serve as both an essential learning guide and reference on networking concepts and implementation in Go. Free source code is available on Github for this book u ...
Planning and Preparing for Microsoft SharePoint Hybrid
Microsoft SharePoint hybrid deployments are rapidly becoming popular with Microsoft's investments on increased SharePoint productivity, not only in your own environment (on-premises) but also collaborating in new ways through the largest and most advanced cloud service platform in the world - Microsoft Office 365 and Microsoft Azure. SharePoint hybrid is about connecting SharePoint on-premises to Office 365 and Azure to extend capabilities, enhance collaboration, and drive innovation forward. This book is part of a series to provide readers from all over the world with a guide on how to connect SharePoint on-premises to Microsoft's cloud services. You will gain insight into planning, architecture, configuration, and management of SharePoint hybrid. This book covers foundational topics with which you will learn more about Office 365 and Microsoft Azure, architecture planning, platform hygiene and preparation, directory synchronization, and how to configure a seamless single sign-on e ...
Microsoft SharePoint hybrid deployments are rapidly becoming popular with Microsoft's investments on increased SharePoint productivity, not only in your own environment (on-premises) but also collaborating in new ways through the largest and most advanced cloud service platform in the world - Microsoft Office 365 and Microsoft Azure. SharePoint hybrid is about connecting SharePoint on-premises to Office 365 and Azure to extend capabilities, enhance collaboration, and drive innovation forward. This book is part of a series to provide readers from all over the world with a guide on how to connect SharePoint on-premises to Microsoft's cloud services. You will gain insight into planning, architecture, configuration, and management of SharePoint hybrid. This book covers foundational topics with which you will learn more about Office 365 and Microsoft Azure, architecture planning, platform hygiene and preparation, directory synchronization, and how to configure a seamless single sign-on e ...
C++ Core Guidelines Explained
The official C++ Core Guidelines provide consistent best practices for writing outstanding modern C++ code and improving legacy code, but they're organized as a reference for looking up one specific point at a time, not as a tutorial for working developers. In C++ Core Guidelines Explained, expert C++ instructor Rainer Grimm has distilled them to their essence, removing esoterica, sharing new insights and context, and presenting well-tested examples from his own training courses. Grimm helps experienced C++ programmers use the Core Guidelines with any recent version of the language, from C++11 onward. Most of his code examples are written for C++17, with added coverage of newer versions and C++20 wherever appropriate, and references to the official C++ Core Guidelines online. Whether you're creating new software or improving legacy code, Grimm will help you get more value from the Core Guidelines' most useful rules, as you write code that's safer, clearer, more efficient, and eas ...
The official C++ Core Guidelines provide consistent best practices for writing outstanding modern C++ code and improving legacy code, but they're organized as a reference for looking up one specific point at a time, not as a tutorial for working developers. In C++ Core Guidelines Explained, expert C++ instructor Rainer Grimm has distilled them to their essence, removing esoterica, sharing new insights and context, and presenting well-tested examples from his own training courses. Grimm helps experienced C++ programmers use the Core Guidelines with any recent version of the language, from C++11 onward. Most of his code examples are written for C++17, with added coverage of newer versions and C++20 wherever appropriate, and references to the official C++ Core Guidelines online. Whether you're creating new software or improving legacy code, Grimm will help you get more value from the Core Guidelines' most useful rules, as you write code that's safer, clearer, more efficient, and eas ...
Haskell Notes for Professionals
The Haskell Notes for Professionals book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow. ...
The Haskell Notes for Professionals book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow. ...
Machine Learning on Kubernetes
MLOps is an emerging field that aims to bring repeatability, automation, and standardization of the software engineering domain to data science and machine learning engineering. By implementing MLOps with Kubernetes, data scientists, IT professionals, and data engineers can collaborate and build machine learning solutions that deliver business value for their organization. You'll begin by understanding the different components of a machine learning project. Then, you'll design and build a practical end-to-end machine learning project using open source software. As you progress, you'll understand the basics of MLOps and the value it can bring to machine learning projects. You will also gain experience in building, configuring, and using an open source, containerized machine learning platform. In later chapters, you will prepare data, build and deploy machine learning models, and automate workflow tasks using the same platform. Finally, the exercises in this book will help you get han ...
MLOps is an emerging field that aims to bring repeatability, automation, and standardization of the software engineering domain to data science and machine learning engineering. By implementing MLOps with Kubernetes, data scientists, IT professionals, and data engineers can collaborate and build machine learning solutions that deliver business value for their organization. You'll begin by understanding the different components of a machine learning project. Then, you'll design and build a practical end-to-end machine learning project using open source software. As you progress, you'll understand the basics of MLOps and the value it can bring to machine learning projects. You will also gain experience in building, configuring, and using an open source, containerized machine learning platform. In later chapters, you will prepare data, build and deploy machine learning models, and automate workflow tasks using the same platform. Finally, the exercises in this book will help you get han ...
Becoming an Enterprise Django Developer
Django is a powerful framework but choosing the right add-ons that match the scale and scope of your enterprise projects can be tricky. This book will help you explore the multifarious options available for enterprise Django development. Countless organizations are already using Django and more migrating to it, unleashing the power of Python with many different packages and dependencies, including AI technologies. This practical guide will help you understand practices, blueprints, and design decisions to put Django to work the way you want it to. You'll learn various ways in which data can be rendered onto a page and discover the power of Django for large-scale production applications. Starting with the basics of getting an enterprise project up and running, you'll get to grips with maintaining the project throughout its lifecycle while learning what the Django application lifecycle is. By the end of this book, you'll have learned how to build and deploy a Django project to the ...
Django is a powerful framework but choosing the right add-ons that match the scale and scope of your enterprise projects can be tricky. This book will help you explore the multifarious options available for enterprise Django development. Countless organizations are already using Django and more migrating to it, unleashing the power of Python with many different packages and dependencies, including AI technologies. This practical guide will help you understand practices, blueprints, and design decisions to put Django to work the way you want it to. You'll learn various ways in which data can be rendered onto a page and discover the power of Django for large-scale production applications. Starting with the basics of getting an enterprise project up and running, you'll get to grips with maintaining the project throughout its lifecycle while learning what the Django application lifecycle is. By the end of this book, you'll have learned how to build and deploy a Django project to the ...
Time Series Analysis with Python Cookbook
Time series data is everywhere, available at a high frequency and volume. It is complex and can contain noise, irregularities, and multiple patterns, making it crucial to be well-versed with the techniques covered in this book for data preparation, analysis, and forecasting. This book covers practical techniques for working with time series data, starting with ingesting time series data from various sources and formats, whether in private cloud storage, relational databases, non-relational databases, or specialized time series databases such as InfluxDB. Next, you'll learn strategies for handling missing data, dealing with time zones and custom business days, and detecting anomalies using intuitive statistical methods, followed by more advanced unsupervised ML models. The book will also explore forecasting using classical statistical models such as Holt-Winters, SARIMA, and VAR. The recipes will present practical techniques for handling non-stationary data, using power transforms, A ...
Time series data is everywhere, available at a high frequency and volume. It is complex and can contain noise, irregularities, and multiple patterns, making it crucial to be well-versed with the techniques covered in this book for data preparation, analysis, and forecasting. This book covers practical techniques for working with time series data, starting with ingesting time series data from various sources and formats, whether in private cloud storage, relational databases, non-relational databases, or specialized time series databases such as InfluxDB. Next, you'll learn strategies for handling missing data, dealing with time zones and custom business days, and detecting anomalies using intuitive statistical methods, followed by more advanced unsupervised ML models. The book will also explore forecasting using classical statistical models such as Holt-Winters, SARIMA, and VAR. The recipes will present practical techniques for handling non-stationary data, using power transforms, A ...
Adobe Illustrator for Creative Professionals
Adobe Illustrator is a vector-based art tool for visual creatives. It is an industry-standard tool that helps you take a design from concept to completion, including the process of peer collaboration and client feedback. Complete with step-by-step explanations of essential concepts and practical examples, you'll begin to build confidence as you master the methods of successful illustrators in the industry by exploring crucial tools and techniques of Adobe Illustrator. You'll learn how to create objects using different tools and methods while assigning varied attributes and appearances. Throughout the book, you'll strengthen your skills in developing structures for maintaining organization as your illustration grows. By the end of this Adobe Illustrator book, you'll have gained the confidence you need to not only create content in the desired format and for the right audience but also build eye-catching vector art based on solid design principles. ...
Adobe Illustrator is a vector-based art tool for visual creatives. It is an industry-standard tool that helps you take a design from concept to completion, including the process of peer collaboration and client feedback. Complete with step-by-step explanations of essential concepts and practical examples, you'll begin to build confidence as you master the methods of successful illustrators in the industry by exploring crucial tools and techniques of Adobe Illustrator. You'll learn how to create objects using different tools and methods while assigning varied attributes and appearances. Throughout the book, you'll strengthen your skills in developing structures for maintaining organization as your illustration grows. By the end of this Adobe Illustrator book, you'll have gained the confidence you need to not only create content in the desired format and for the right audience but also build eye-catching vector art based on solid design principles. ...