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Published:
April 27, 2021

Python All-in-One For Dummies

Overview

Everything you need to know to get into Python coding, with 7 books in onePython All-in-One For Dummies 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.

  • Get started coding in Python—even if you’re new to computer programming
  • Reference all the essentials and the latest updates, so your code is air-tight
  • Learn how Python can be a solution for large-scale projects and big datasets
  • Accelerate your career path with this comprehensive guide to learning Python

Experienced and would-be coders alike will love this easy-to-follow guide to learning and applying Python.

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About The Author

John Shovic, PhD, is a computer science faculty member at the University of Idaho specializing in robotics and artificial intelligence.

Alan Simpson is a web development professional who has published more than 100 articles and books on technology.

Sample Chapters

python all-in-one for dummies

CHEAT SHEET

Python is a flexible programming language that has become increasingly popular in the past few years. This cheat sheet is designed to give you a handy resource for common Python data types, Python operators, and Python functions. It includes Python data types, operators, special characters, f-strings, and functions for working with robots.

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Articles from
the book

Similar to other programming languages, Python has gone through a few iterations, otherwise known as versions. Before you can fully understand the possibilities of Python, you need to understand the different versions and know which version you are using. The different versions of Python roaming the world prompt many a beginner to wonder things like Why are there different versions of Python?
You can use the Python language to build neural networks, from simple to complex. For you to build a neural network, you first need to decide what you want it to learn. For this simple Python tutorial, put your eyes on a pretty simple goal: implement a three-input XOR gate. (That’s an eXclusive OR gate.) The table below shows the function you’re going to implement in table form.
is any list of data items, separated by commas, inside square brackets. Typically, you assign a name to the Python list using an = sign, just as you would with variables. If the list contains numbers, then don't use quotation marks around them. For example, here is a list of test scores:scores = [88, 92, 78, 90, 98, 84]If the list contains strings then, as always, those strings should be enclosed in single or double quotation marks, as in this example: in your code after defining that list shows this on the screen.
You'll hear the word module used in conjunction with Python all the time. If you think of the Python standard library as an actual physical library, and a package as being, perhaps, one book in that library, then you can think of a Python module as being one chapter in one book. In other words, a package may contain many modules, and a library may contain many packages.
Python supports the concept of anonymous functions, also called lambda functions. The anonymous part of the name is based on the fact that the function doesn't need to have a name (but can have one if you want it to). The lambda part is based on the use of the keyword lambda to define them in Python. Lambda is also the 11th letter of the Greek alphabet.
Python is a flexible programming language that has become increasingly popular in the past few years. This cheat sheet is designed to give you a handy resource for common Python data types, Python operators, and Python functions. It includes Python data types, operators, special characters, f-strings, and functions for working with robots.
Before you can get going here, make sure you have your Raspberry Pi computer set up and running on your monitor, keyboard, and mouse. If not, go do that now The next few paragraphs are going to be lots more fun with a computer to work with!The Raspberry Pi is the perfect platform to do physical computing with Python because it has a multiscreen environment, lots of RAM and storage to play with and all the tools to build fun projects.
The first thing to know about I2C is that every device on the I2C bus has an address. For example, an HDC1080 temperature and humidity sensor that you can easily make has an address of 0x40. What does the “0x” mean in this address? It means that the number that follows is in hexadecimal notation, base 16 instead of base 10 (our normal numbering system).
For all the hoopla about Python modules, a module is actually a pretty simple thing. In fact, a Python module is just a file with a .py extension that contains Python code. That’s it. So any time you write Python code and save it in a .py file, you’ve basically created a module.That’s not to say you always have to use that code as a module.
The Python standard library is basically all the stuff you get when you get the Python languages. That includes all the Python data types like string, integer, float, and Boolean. Every instance of those data types is actually an instance of a class defined in the Python standard library.For this reason, the terms type, instance, and object are often used interchangeably.
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