Python all-in-one for dummies / John C. Shovic and Alan Simpson.
Material type:
TextSeries: For dummiesPublisher: Hoboken, New Jersey : John Wiley and Sons, Inc., 2024Edition: 3rd editionDescription: xviii, 682 pages : illustrations ; 24 cmContent type: - text
- unmediated
- volume
- 9781394236152
- 005.133 Sh826p 23
- QA76.73.P98
| Item type | Current library | Shelving location | Call number | Copy number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|---|
Books
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Main Library | Circulation Section | CIR 005.133 Sh826p 2024 (Browse shelf(Opens below)) | 1-1 | Available | 029367 |
Includes index.
Getting started -- Starting with Python -- Using 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 -- Demystifying artificial intelligence -- Building a neural network -- Doing machine learning -- Playing around with AI on cards, sticks, and in the cloud -- 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
"Python All-in-One is your one-stop source for answers to all your Python questions. From creating apps to building complex web sites to sorting big data, Python provides a way to get the work done. This book is great as a starting point for those new to coding, and it also makes a perfect reference for experienced coders looking for more than the basics. Apply your Python skills to data analysis, learn to write AI-assisted code using GitHub CoPilot, and discover many more exciting uses for this top programming language"
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