Explore Python data analysis programming and statistics in detail
Write code in the cloud with Google Colab
Wrangle data and visualize information
Python For Data Science For Dummies is written for people who are new to data analysis and the book discusses the basics of Python data analysis programming and statistics. It also talks about Google Colab, a tool that makes it possible to write Python code in the cloud.
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.