Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas,...
These two talks given in 1977 and 1978 in New York and Sao Paulo respectively are an edited version of discussions and spontaneous contributions made by Bion, in the main without notes. This is a new 2019 edition, edited and introduced by Meg Harris Williams.
Wilfred Ruprecht Bion (1897–1979) was born in India in the days...
Make informed business decisions with the beginner's guide to financial modeling using Microsoft Excel
Financial Modeling in Excel For Dummies is your comprehensive guide to learning how to create informative, enlightening financial models today. Not a math whiz or an Excel power-user? No problem! All you need is...
In this text we present a technical overview of the emerging field of quantum computation along with new research results by the authors. What distinguishes our presentation from that of others is our focus on the relationship between quantum computation and computer science. Specifically, our emphasis is on the computational model of quantum...
With more high-paying web development jobs opening every day, people with coding and web/app building skills are having no problems finding employment. If you’re a would-be developer looking to gain the know-how to build the interfaces, databases, and other features that run...
Use ASP.NET Core 2 to create durable and cross-platform web APIs through a series of applied, practical scenarios. Examples in this book help you build APIs that are fast and scalable. You’ll progress from the basics of the framework through to solving the complex problems encountered in implementing secure RESTful services....
Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models. Each chapter guides you...
