Become the master player of data exploration by creating reproducible data processing pipelines, visualizations, and prediction models for your applications.
Key Features
Get up and running with the Jupyter ecosystem and some example datasets
For those who know the basics of object-oriented Python this book is a must-have. With 750 code samples and a relaxed tutorial approach, it’s the seamless route to more sophisticated programming.
Overview
Create applications with flexible logging, powerful configuration and command-line options,...
Learn agile JavaScript web development using the latest cutting-edge front-end and back-end technologies including Node.js, MongoDB, Backbone.js, Parse.com, Heroku, and Microsoft Azure. Using a key project example of a message board app, you will learn the foundations of a typical web application: fetching data, displaying...
If you’re like many of Excel’s 750 million users, you want to do more with your data—like repeating similar analyses over hundreds of files, or combining data in many files for analysis at one time. This practical guide shows ambitious non-programmers how to automate and scale the processing and analysis of data in...
If you've mastered Python's fundamentals, you're ready to start using it to get real work done. Programming Python will show you how, with in-depth tutorials on the language's primary application domains: system administration, GUIs, and the Web. You'll also explore how Python is used in databases,...
Ruby is a powerful programming language with a focus on simplicity, but beneath its elegant syntax it performs countless unseen tasks.
Ruby Under a Microscope gives you a hands-on look at Ruby's core, using extensive diagrams and thorough explanations to show you how Ruby is implemented (no C skills...
