Hands-On Full Stack Development with Go. Build full stack web applications with Go, React, Gin, and GopherJS

Mina Andrawos

The Go programming language has been rapidly adopted by developers for building web applications. With its impressive performance and ease of development, Go enjoys the support of a wide variety of open source frameworks, for building scalable and high-performant web services and apps. Hands-On Full Stack Development with Go is a comprehensive guide that covers all aspects of full stack development with Go.This clearly written, example-rich book begins with a practical exposure to Go development and moves on to build a frontend with the popular React framework. From there, you will build RESTful web APIs utilizing the Gin framework. After that, we will dive deeper into important software backend concepts, such as connecting to the database via an ORM, designing routes for your services, securing your services, and even charging credit cards via the popular Stripe API. We will also cover how to test, and benchmark your applications efficiently in a production environment. In the concluding chapters, we will cover isomorphic developments in pure Go by learning about GopherJS. As you progress through the book, you'll gradually build a musical instrument online store application from scratch.By the end of the book, you will be confident in taking on full stack web applications in Go.

NGINX Cookbook. Over 70 recipes for real-world configuration, deployment, and performance

Tim Butler

NGINX Cookbook covers the basics of configuring NGINX as a web server for use with common web frameworks such as WordPress and Ruby on Rails, through to utilization as a reverse proxy. Designed as a go-to reference guide, this book will give you practical answers based on real-world deployments to get you up and running quickly. Recipes have also been provided for multiple SSL configurations, different logging scenarios, practical rewrites, and multiple load balancing scenarios. Advanced topics include covering bandwidth management, Docker container usage, performance tuning, OpenResty, and the NGINX Plus commercial features.By the time you've read this book, you will be able to adapt and use a wide variety of NGINX implementations to solve any problems you have.

CompTIA Linux+ Certification Guide. A comprehensive guide to achieving LX0-103 and LX0-104 certifications with mock exams

Philip Inshanally

The Linux+ certification provides a broad awareness of Linux operating systems, while giving professionals an upper hand in the IT industry. With this certification, you’ll be equipped with the all-important knowledge of installation, operation, administration, and troubleshooting services.This CompTIA Linux+ Certification Guide will give you an overview of the system architecture. You’ll understand how to install and uninstall Linux distributions, followed by working with various package managers. You’ll then move on to manipulating files and processes at the command-line interface (CLI) and creating, monitoring, killing, restarting, and modifying processes.As you progress, you’ll be equipped to work with display managers and learn how you can create, modify, and remove user accounts and groups, as well as understand how to automate tasks. The last set of chapters will help you configure dates and set up local and remote system logging. In addition to this, you’ll explore different internet protocols, and delve into network configuration, security administration, Shell scripting, and SQL management.By the end of this book, you’ll not only have got to grips with all the modules you need to study for the LX0-103 and LX0-104 certification exams, but you’ll also be able to test your understanding with practice questions and mock exams.

Learning C++ Functional Programming. Explore functional C++ with concepts like currying, metaprogramming and more

Functional programming allows developers to divide programs into smaller, reusable components that ease the creation, testing, and maintenance of software as a whole. Combined with the power of C++, you can develop robust and scalable applications that fulfill modern day software requirements. This book will help you discover all the C++ 17 features that can be applied to build software in a functional way.The book is divided into three modules—the first introduces the fundamentals of functional programming and how it is supported by modern C++. The second module explains how to efficiently implement C++ features such as pure functions and immutable states to build robust applications. The last module describes how to achieve concurrency and apply design patterns to enhance your application’s performance. Here, you will also learn to optimize code using metaprogramming in a functional way.By the end of the book, you will be familiar with the functional approach of programming and will be able to use these techniques on a daily basis.

Learn C# in 7 days. Get up and running with C# 7 with async main, tuples, pattern matching, LINQ, regex, indexers, and more

Gaurav Aroraa

This book takes a unique approach to teach C# to absolute beginners. You’ll learn the basics of the language in seven days. It takes a practical approach to explain the important concepts that build the foundation of the C# programming language. The book begins by teaching you the basic fundamentals using real-world practical examples and gets you acquainted with C# programming. We cover some important features and nuances of the language in a hands-on way, helping you grasp the concepts in a fluid manner. Later, you’ll explore the concepts of Object-Oriented Programming (OOP) through a real-world example. Then we dive into advanced-level concepts such as generics and collections, and you’ll get acquainted with objects and LINQ. Towards the end, you’ll build an application that covers all the concepts explained in the book. By the end of this book, you will have next-level skills and a good knowledge of the fundamentals of C#.

Advanced Python Programming. Build high performance, concurrent, and multi-threaded apps with Python using proven design patterns

Dr. Gabriele Lanaro, Quan Nguyen, Sakis Kasampalis

This Learning Path shows you how to leverage the power of both native and third-party Python libraries for building robust and responsive applications. You will learn about profilers and reactive programming, concurrency and parallelism, as well as tools for making your apps quick and efficient. You will discover how to write code for parallel architectures using TensorFlow and Theano, and use a cluster of computers for large-scale computations using technologies such as Dask and PySpark. With the knowledge of how Python design patterns work, you will be able to clone objects, secure interfaces, dynamically choose algorithms, and accomplish much more in high performance computing.By the end of this Learning Path, you will have the skills and confidence to build engaging models that quickly offer efficient solutions to your problems.This Learning Path includes content from the following Packt products:• Python High Performance - Second Edition by Gabriele Lanaro• Mastering Concurrency in Python by Quan Nguyen• Mastering Python Design Patterns by Sakis Kasampalis

Hands-On Meta Learning with Python. Meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow

Sudharsan Ravichandiran

Meta learning is an exciting research trend in machine learning, which enables a model to understand the learning process. Unlike other ML paradigms, with meta learning you can learn from small datasets faster.Hands-On Meta Learning with Python starts by explaining the fundamentals of meta learning and helps you understand the concept of learning to learn. You will delve into various one-shot learning algorithms, like siamese, prototypical, relation and memory-augmented networks by implementing them in TensorFlow and Keras. As you make your way through the book, you will dive into state-of-the-art meta learning algorithms such as MAML, Reptile, and CAML. You will then explore how to learn quickly with Meta-SGD and discover how you can perform unsupervised learning using meta learning with CACTUs. In the concluding chapters, you will work through recent trends in meta learning such as adversarial meta learning, task agnostic meta learning, and meta imitation learning.By the end of this book, you will be familiar with state-of-the-art meta learning algorithms and able to enable human-like cognition for your machine learning models.

Mastering Concurrency in Python. Create faster programs using concurrency, asynchronous, multithreading, and parallel programming

Quan Nguyen

Python is one of the most popular programming languages, with numerous libraries and frameworks that facilitate high-performance computing. Concurrency and parallelism in Python are essential when it comes to multiprocessing and multithreading; they behave differently, but their common aim is to reduce the execution time. This book serves as a comprehensive introduction to various advanced concepts in concurrent engineering and programming.Mastering Concurrency in Python starts by introducing the concepts and principles in concurrency, right from Amdahl's Law to multithreading programming, followed by elucidating multiprocessing programming, web scraping, and asynchronous I/O, together with common problems that engineers and programmers face in concurrent programming. Next, the book covers a number of advanced concepts in Python concurrency and how they interact with the Python ecosystem, including the Global Interpreter Lock (GIL). Finally, you'll learn how to solve real-world concurrency problems through examples.By the end of the book, you will have gained extensive theoretical knowledge of concurrency and the ways in which concurrency is supported by the Python language