Includes index
"7 books in one!"--Cover

Getting started. Starting with Python ; Interactive mode, getting help, and writing apps ; Python elements and syntax ; Building your first Python application
Understanding Python building blocks. Working with numbers, text, and dates ; Controlling the action ; Speeding along with lists and tuples ; Cruising massive data with dictionaries ; Wrangling bigger chunks of code ; Doing Python with class ; Sidestepping errors
Working with libraries. Working with external files ; Juggling JSON data ; Interacting with the internet ; Libraries, packages, and modules
Using artificial intelligence. Exploring artificial intelligence ; Building a neural network ; Doing machine learning ; Exploring AI
Doing data science. Understanding the five areas of data science ; Exploring big data ; Using big data from Google cloud
Talking to hardware. Introducing physical computing ; No soldering! Using grove connectors for building ; Sensing the world ; Making things move
Building robots. Introducing robotics ; Building your first Python robot ; Programming your robot rover ; Using artificial intelligence in robotics

Powerful and flexible, Python is one of the most popular programming languages in the world. It's got all the right stuff for the software driving the cutting-edge of the development world--machine learning, robotics, artificial intelligence, data science, etc. The good news is that it's also pretty straightforward to learn, with a simplified syntax, natural-language flow, and an amazingly supportive user community. The latest edition of Python All-in-One For Dummies gives you an inside look at the exciting possibilities offered in the Python world and provides a springboard to launch yourself into wherever you want your coding career to take you. These 7 straightforward and friendly mini-books assume the reader is a beginning programmer, and cover everything from the basic elements of Python code to introductions to the specific applications where you'll use it. Intended as a hands-on reference, the focus is on practice over theory, providing you with examples to follow as well as code for you to copy and start modifying in the "real world"--helping you get up and running in your area of interest almost right away