Title Statements
- Full title :Python All-in-One For Dummies / John Shovic, Alan Simpson.
Summary
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
Read More ↓Edition Statements
- Publication Date:2021.
- Edition:2nd edition
Publication Statements
- Publisher(s):For Dummies
- Place of Publication:Hoboken, NJ
- Language:eng
- Publication Date:2021.
The Physical Object
- Description:1 online resource (xvi, 702 pages)
Edition Identifiers
- ISBN:1119787610, 9781119787617, 9781119787624, 1119787629
- oclc:on1245420566
- LC Classification:QA76.73
- Dewey Decimal:005.133
Table of Contents
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.
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