Python for Data Science For Dummies book cover

Python for Data Science For Dummies

Published: February 27, 2019

Overview

The fast and easy way to learn Python programming and statistics

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. 

Python For Data Science For Dummies is written for people who are new to data analysis, and discusses the basics of Python data analysis programming and statistics. The book also discusses Google Colab, which makes it possible to write Python code in the cloud.

  • Get started with data science and Python
  • Visualize information
  • Wrangle data
  • Learn from data

The book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis testing, confidence intervals, and building regression models for prediction.

The fast and easy way to learn Python programming and statistics

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. 

Python For Data Science For Dummies is written for people who are new to data analysis, and discusses the basics of Python data analysis programming

and statistics. The book also discusses Google Colab, which makes it possible to write Python code in the cloud.

  • Get started with data science and Python
  • Visualize information
  • Wrangle data
  • Learn from data

The book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis testing, confidence intervals, and building regression models for prediction.

Python for Data Science For Dummies Cheat Sheet

Python is an incredible programming language that you can use to perform data science tasks with a minimum of effort. The huge number of available libraries means that the low-level code you normally need to write is likely already available from some other source. All you need to focus on is getting the job done. With that in mind, this cheat sheet helps you access the most commonly needed reminders for making your programming experience fast and easy.