Book Image

Python for Data Science For Dummies - Second Edition

By : John Paul Mueller, Luca Massaron
Book Image

Python for Data Science For Dummies - Second Edition

By: John Paul Mueller, Luca Massaron

Overview of this book

Python is a general-purpose programming language created in the late 1980s — and named after Monty Python — that's used by thousands of people to do things from testing microchips at Intel to powering Instagram to building video games with the PyGame library. The book begins by discussing how Python can make data science easy. You’ll learn how to work with the Anaconda tool suite that makes coding in Python easy. You’ll also learn to write code using Google Colab. As you progress, you'll discover how to perform interesting calculations and data manipulations using various Python libraries, such as pandas and NumPy. You’ll learn how to create data visualizations with MatPlotLib. While learning the advanced concepts, you’ll learn how to wrangle data by using techniques, such as hierarchical clustering. Finally, you’ll learn how to work with decision trees and use machine learning to make predictions. By the end of the book, you’ll have the skills and the knowledge that’s needed to write code in Python and extract information from data.
Table of Contents (13 chapters)
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Chapter 4

Working with Google Colab


Bullet Understanding Google Colab

Bullet Accessing Google and Colab

Bullet Performing essential Colab tasks

Bullet Obtaining additional information

Colaboratory (, or Colab for short, is a Google cloud-based service that replicates Jupyter Notebook in the cloud. You don’t have to install anything on your system to use it. In most respects, you use Colab as you would a desktop installation of Jupyter Notebook (also called Notebook throughout the book). This book includes this chapter mainly for those readers who use something other than a standard desktop setup to work through the examples.

Remember Because you may not be using the same versions of products that appear in this book, the book’s example source code may or may not work precisely as described in the text when you use Colab. Also when using Colab, you may not see the results as presented in this book because of the differences in hardware...