With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive int…
A new edition of the bestselling Pandas cookbook updated to pandas 1.x with new chapters on creating and testing, and exploratory data analysis. Recipes are written with modern pandas constructs. This book also covers EDA, tidying data, pivoting data, time-series calculations, v…
"The pandas library is massive, and it's common for frequent users to be unaware of many of its more impressive features. The official pandas documentation, while thorough, does not contain many useful examples of how to piece together multiple commands as one would do during an…
Use the power of pandas to solve most complex scientific computing problems with ease. Revised for pandas 1.x. Key Features This is the first book on pandas 1.x Practical, easy to implement recipes for quick solutions to common problems in data using pandas Master the fundamenta…
Introducing hapi -- Building an API -- Building a website -- Routes and handlers in-depth -- Understanding requests and responses -- Validation with Joi -- Building modular applications with plugins -- Cache me if you can -- Authentication and security -- Testing with lab, code,…
Hapi.js in Action teaches you how to build modern Node-driven applications using hapi.js. Packed with examples, this book takes you from your first simple server through the skills you'll need to build a complete application. About the Technology The hapi.js web framework for No…
Hapi.js in Action teaches you how to build modern Node-driven applications using hapi.js. Packed with examples, this book takes you from your first simple server through the skills you'll need to build a complete application. About the Technology The hapi.js web framework for No…
"Learn the Pandas library. Ideal for programmers, data scientists, and engineers, this book provides real-life examples and best-practices for using the Pandas library."--Back cover.