Cover -- Copyright -- Credits -- About the Author -- About the Reviewer -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- Introduction -- Chapter 1: Understanding Microservices -- Origins of Service-Oriented Architecture -- The monolithic approach -- Th…
Following a practical, just-in-time presentation which gives students material as they need it, this guide is designed as a Year One textbook for introduction to programming classes or for the novice hobbyist who wants to learn the fundamentals of programming. --.
Real-world data sets are messy and complicated. Written for students in social science and public management, this authoritative but approachable guide describes all the tools needed to collect data and prepare it for analysis. Offering detailed, step-by-step instructions, it co…
The basics : getting started quickly -- List data : working with ordered data -- Structured data : working with structured data -- Code reuse : functions and modules -- Building a webapp : getting real -- Storing and manipulating data : where to put your data -- Using a database…
Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries. About This Book Second edition of the bestselling book on Machine Learning A practical approach to key frameworks in data science, machine learn…
Key Features A practical approach to the frameworks of data science, machine learning, and deep learningUse the most powerful Python libraries to implement machine learning and deep learningLearn best practices to improve and optimize your machine learning systems and algorithms…
"Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries. About This Book * Second edition of the bestselling book on Machine Learning * A practical approach to key frameworks in data science, machine …
This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale machine learning using Apache Spark. About This Book* Take your first steps in the world of data science by understanding the tools and techni…
Unlock deeper insights into visualization in form of 2D and 3D graphs using Matplotlib 2.x About This Book Create and customize live graphs, by adding style, color, font to make appealing graphs. A complete guide with insightful use cases and examples to perform data visualizati…
Scientific Python is a significant public domain alternative to expensive proprietary software packages. This book teaches from scratch everything the working scientist needs to know using copious, downloadable, useful and adaptable code snippets. Readers will discover how easy …