Wydawca: Packt Publishing
David Herron
Node.js is the leading choice of server-side web development platform, enabling developers to use the same tools and paradigms for both server-side and client-side software. This updated fifth edition of Node.js Web Development focuses on the new features of Node.js 14, Express 4.x, and ECMAScript, taking you through modern concepts, techniques, and best practices for using Node.js.The book starts by helping you get to grips with the concepts of building server-side web apps with Node.js. You’ll learn how to develop a complete Node.js web app, with a backend database tier to help you explore several databases. You'll deploy the app to real web servers, including a cloud hosting platform built on AWS EC2 using Terraform and Docker Swarm, while integrating other tools such as Redis and NGINX. As you advance, you'll learn about unit and functional testing, along with deploying test infrastructure using Docker. Finally, you'll discover how to harden Node.js app security, use Let's Encrypt to provision the HTTPS service, and implement several forms of app security with the help of expert practices. With each chapter, the book will help you put your knowledge into practice throughout the entire life cycle of developing a web app.By the end of this Node.js book, you’ll have gained practical Node.js web development knowledge and be able to build and deploy your own apps on a public web hosting solution.
Pratap Dangeti, Allen Yu, Claire Chung, Aldrin...
Data mining, or parsing the data to extract useful insights, is a niche skill that can transform your career as a data scientist Python is a flexible programming language that is equipped with a strong suite of libraries and toolkits, and gives you the perfect platform to sift through your data and mine the insights you seek. This Learning Path is designed to familiarize you with the Python libraries and the underlying statistics that you need to get comfortable with data mining.You will learn how to use Pandas, Python's popular library to analyze different kinds of data, and leverage the power of Matplotlib to generate appealing and impressive visualizations for the insights you have derived. You will also explore different machine learning techniques and statistics that enable you to build powerful predictive models.By the end of this Learning Path, you will have the perfect foundation to take your data mining skills to the next level and set yourself on the path to become a sought-after data science professional.This Learning Path includes content from the following Packt products:• Statistics for Machine Learning by Pratap Dangeti• Matplotlib 2.x By Example by Allen Yu, Claire Chung, Aldrin Yim• Pandas Cookbook by Theodore Petrou
Ivan Idris
NumPy is an extension to, and the fundamental package for scientific computing with Python. In today's world of science and technology, it is all about speed and flexibility. When it comes to scientific computing, NumPy is on the top of the list.NumPy Beginner's Guide will teach you about NumPy, a leading scientific computing library. NumPy replaces a lot of the functionality of Matlab and Mathematica, but in contrast to those products, is free and open source.Write readable, efficient, and fast code, which is as close to the language of mathematics as is currently possible with the cutting edge open source NumPy software library. Learn all the ins and outs of NumPy that requires you to know basic Python only. Save thousands of dollars on expensive software, while keeping all the flexibility and power of your favourite programming language.You will learn about installing and using NumPy and related concepts. At the end of the book we will explore some related scientific computing projects. This book will give you a solid foundation in NumPy arrays and universal functions. Through examples, you will also learn about plotting with Matplotlib and the related SciPy project. NumPy Beginner's Guide will help you be productive with NumPy and have you writing clean and fast code in no time at all.
Ivan Idris, NumPy
Today's world of science and technology is all about speed and flexibility. When it comes to scientific computing, NumPy is on the top of the list. NumPy will give you both speed and high productivity.NumPy Cookbook will teach you all about NumPy, a leading scientific computing library. NumPy replaces a lot of the functionality of Matlab and Mathematica, but in contrast to those products, it is free and open source.Numpy Cookbook will teach you to write readable, efficient, and fast code that is as close to the language of Mathematics as much as possible with the cutting edge open source NumPy software library.You will learn about installing and using NumPy and related concepts. At the end of the book, we will explore related scientific computing projects.This book will give you a solid foundation in NumPy arrays and universal functions. You will also learn about plotting with Matplotlib and the related SciPy project through examples.NumPy Cookbook will help you to be productive with NumPy and write clean and fast code.
NumPy Essentials. Click here to enter text
Jaidev Deshpande, Leo (Liang-Huan) Chin, Tanmay Dutta,...
In today’s world of science and technology, it’s all about speed and flexibility. When it comes to scientific computing, NumPy tops the list. NumPy gives you both the speed and high productivity you need.This book will walk you through NumPy using clear, step-by-step examples and just the right amount of theory. We will guide you through wider applications of NumPy in scientific computing and will then focus on the fundamentals of NumPy, including array objects, functions, and matrices, each of them explained with practical examples. You will then learn about different NumPy modules while performing mathematical operations such as calculating the Fourier Transform; solving linear systems of equations, interpolation, extrapolation, regression, and curve fitting; and evaluating integrals and derivatives. We will also introduce you to using Cython with NumPy arrays and writing extension modules for NumPy code using the C API. This book will give you exposure to the vast NumPy library and help you build efficient, high-speed programs using a wide range of mathematical features.
Kareem Dabbeet, Mahmoud Baalbaki, Daniel Kelly
Nuxt 3 Projects takes you on a hands-on learning journey through the world of Nuxt 3, the cutting-edge Vue.js framework. With a strong emphasis on project-based learning, this book ensures you gain practical, real-world experience in building robust and scalable applications.This book guides you through comprehensive projects, starting with Nuxt fundamentals, delving into Nuxt 3's unique features like project structure, file-based routing, views, layouts, and components. You'll cover aspects like the Composition API, reusable components, and state management with Pinia, intertwining theory with practical applications. Next, the book explores data fetching, error handling, authentication, SEO, and middleware. Each concept is paired with a real-life project for immediate practical reinforcement. Later chapters tackle testing, debugging, building custom modules, and building monorepos for superior code organization. Finally, a comprehensive capstone project helps you apply all the concepts you’ve learned, empowering you to architect robust, scalable Nuxt 3 applications.By the end of this book, you'll be able to efficiently apply Nuxt to Vue.js projects, confidently tackling real-world challenges and enhancing scalability.
Alessandro Benoit, Roger Weng