Python all-in-one for dummies / John Shovic, Alan Simpson.

Format:

Book

Author/Creator:

Shovic, John C., author.

Simpson, Alan, 1948 September 20- author.

Language:

English

Subjects (All):

Python (Computer program language).

Physical Description:

1 online resource (723 pages) : illustrations

Edition:

Second edition.

Place of Publication:

Indianapolis, Indiana : John Wiley and Sons, [2021]

Summary:

The one-stop resource for all your Python queries 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. This means you'll be finishing off your first app or building and remote-controlling your own robot much faster than you can believe. Get a thorough grounding in the language basics Learn how the syntax is applied in high-profile industries Apply Python to projects in enterprise Find out how Python can get you into hot careers in AI, big data, and more Whether you're a newbie coder or just want to add Python to your magic box of tricks, this is the perfect, practical introduction--and one you'll return to as you grow your career.

Contents:

Intro

Title Page

Copyright Page

Table of Contents

Introduction

About This Book

Foolish Assumptions

What to Buy

Icons Used in This Book

Beyond the Book

Where to Go from Here

Book 1 Getting Started

Chapter 1 Starting with Python

Why Python Is Hot

Choosing the Right Python

Tools for Success

Introducing Anaconda and VS Code

Installing Anaconda and VS Code

Writing Python in VS Code

Choosing your Python interpreter

Writing some Python code

Getting back to VS Code Python

Using Jupyter Notebook for Coding

Chapter 2 Interactive Mode, Getting Help, and Writing Apps

Using Python's Interactive Mode

Opening Terminal

Getting your Python version

Going into the Python Interpreter

Entering commands

Using Python's built-in help

Exiting interactive help

Searching for specific help topics online

Lots of free cheat sheets

Creating a Python Development Workspace

Creating a Folder for Your Python Code

Typing, Editing, and Debugging Python Code

Writing Python code

Saving your code

Running Python in VS Code

Learning simple debugging

Using the VS Code Python debugger

Writing Code in a Jupyter Notebook

Creating a folder for Jupyter Notebook

Creating and saving a Jupyter notebook

Typing and running code in a notebook

Adding Markdown text

Saving and opening notebooks

Chapter 3 Python Elements and Syntax

The Zen of Python

Introducing Object-Oriented Programming

Discovering Why Indentations Count, Big Time

Using Python Modules

Understanding the syntax for importing modules

Using an alias with modules

Chapter 4 Building Your First Python Application

Opening the Python App File

Typing and Using Python Comments

Understanding Python Data Types

Numbers

Words (strings)

Booleans.

Working with Python Operators

Arithmetic operators

Comparison operators

Boolean operators

Creating and Using Variables

Creating valid variable names

Creating variables in code

Manipulating variables

Saving your work

Running your Python app in VS Code

Understanding What Syntax Is and Why It Matters

Putting Code Together

Book 2 Understanding Python Building Blocks

Chapter 1 Working with Numbers, Text, and Dates

Calculating Numbers with Functions

Still More Math Functions

Formatting Numbers

Formatting with f-strings

Showing dollar amounts

Formatting percent numbers

Making multiline format strings

Formatting width and alignment

Grappling with Weirder Numbers

Binary, octal, and hexadecimal numbers

Complex numbers

Manipulating Strings

Concatenating strings

Getting the length of a string

Working with common string operators

Manipulating strings with methods

Uncovering Dates and Times

Working with dates

Working with times

Calculating timespans

Accounting for Time Zones

Working with Time Zones

Chapter 2 Controlling the Action

Main Operators for Controlling the Action

Making Decisions with if

Adding else to your if logic

Handling multiple else statements with elif

Ternary operations

Repeating a Process with for

Looping through numbers in a range

Looping through a string

Looping through a list

Bailing out of a loop

Looping with continue

Nesting loops

Looping with while

Starting while loops over with continue

Breaking while loops with break

Chapter 3 Speeding Along with Lists and Tuples

Defining and Using Lists

Referencing list items by position

Seeing whether a list contains an item

Getting the length of a list

Adding an item to the end of a list.

Inserting an item into a list

Changing an item in a list

Combining lists

Removing list items

Clearing out a list

Counting how many times an item appears in a list

Finding an list item's index

Alphabetizing and sorting lists

Reversing a list

Copying a list

What's a Tuple and Who Cares?

Working with Sets

Chapter 4 Cruising Massive Data with Dictionaries

Understanding Data Dictionaries

Creating a Data Dictionary

Accessing dictionary data

Getting the length of a dictionary

Seeing whether a key exists in a dictionary

Getting dictionary data with get()

Changing the value of a key

Adding or changing dictionary data

Looping through a Dictionary

Data Dictionary Methods

Copying a Dictionary

Deleting Dictionary Items

Having Fun with Multi-Key Dictionaries

Using the mysterious fromkeys and setdefault methods

Nesting dictionaries

Chapter 5 Wrangling Bigger Chunks of Code

Creating a Function

Commenting a Function

Passing Information to a Function

Defining optional parameters with defaults

Passing multiple values to a function

Using keyword arguments (kwargs)

Passing multiple values in a list

Passing in an arbitrary number of arguments

Returning Values from Functions

Unmasking Anonymous Functions

Chapter 6 Doing Python with Class

Mastering Classes and Objects

Creating a Class

Creating an Instance from a Class

Giving an Object Its Attributes

Creating an instance from a class

Changing the value of an attribute

Defining attributes with default values

Giving a Class Methods

Passing parameters to methods

Calling a class method by class name

Using class variables

Using class methods

Using static methods

Understanding Class Inheritance

Creating the base (main) class

Defining a subclass.

Overriding a default value from a subclass

Adding extra parameters from a subclass

Calling a base class method

Using the same name twice

Chapter 7 Sidestepping Errors

Understanding Exceptions

Handling Errors Gracefully

Being Specific about Exceptions

Keeping Your App from Crashing

Adding an else to the Mix

Using try . . . except . . . else . . . finally

Raising Your Own Exceptions

Book 3 Working with Libraries

Chapter 1 Working with External Files

Understanding Text and Binary Files

Opening and Closing Files

Reading a File's Contents

Looping through a File

Looping with readlines()

Looping with readline()

Appending versus overwriting files

Using tell() to determine the pointer location

Moving the pointer with seek()

Reading and Copying a Binary File

Conquering CSV Files

Opening a CSV file

Converting strings

Converting to integers

Converting to date

Converting to Boolean

Converting to floats

Converting from CSV to Objects and Dictionaries

Importing CSV to Python objects

Importing CSV to Python dictionaries

Chapter 2 Juggling JSON Data

Organizing JSON Data

Understanding Serialization

Loading Data from JSON Files

Converting an Excel date to a JSON date

Looping through a keyed JSON file

Converting Firebase timestamps to Python dates

Loading unkeyed JSON from a Python string

Loading keyed JSON from a Python string

Changing JSON data

Removing data from a dictionary

Dumping Python Data to JSON

Chapter 3 Interacting with the Internet

Seeing How the Web Works

Understanding the mysterious URL

Exposing the HTTP headers

Opening a URL from Python

Posting to the web with Python

Scraping the web with Python

Parsing part of a page

Storing the parsed content

Saving scraped data to a JSON file.

Saving scraped data to a CSV file

Chapter 4 Libraries, Packages, and Modules

Understanding the Python Standard Library

Using the dir() function

Using the help() function

Exploring built-in functions

Exploring Python Packages

Importing Python Modules

Making Your Own Modules

Book 4 Using Artificial Intelligence

Chapter 1 Exploring Artificial Intelligence

AI Is a Collection of Techniques

Neural networks

Machine learning

TensorFlow - A framework for deep learning

Current Limitations of AI

Chapter 2 Building a Neural Network

Understanding Neural Networks

Layers of neurons

Weights and biases

The activation function

Loss function

Building a Simple Neural Network in Python

The neural-net Python code

Using TensorFlow for the same neural network

Installing the TensorFlow Python library

Building a Python Neural Network in TensorFlow

Loading your data

Defining your neural-network model and layers

Compiling your model

Fitting and training your model

Evaluating the model

Breaking down the code

Checking the results

Changing to a three-layer neural network in TensorFlow and Keras

Chapter 3 Doing Machine Learning

Learning by Looking for Solutions in All the Wrong Places

Creating a Machine-Learning Network for Detecting Clothes Types

Setting up the software environment

Getting the data from the Fashion-MNIST dataset

Training the network

Testing our network

Results of the training and evaluation

Testing a single test image

Testing on external pictures

The results, round 1

The CNN model code

The results, round 2

Visualizing with MatPlotLib

Learning More Machine Learning

Chapter 4 Exploring AI

Limitations of the Raspberry Pi and AI

Adding Hardware AI to the Raspberry Pi

AI in the Cloud.

Google Cloud.

Notes:

Description based on print version record.

ISBN:

1-119-78762-9

1-119-78761-0

OCLC:

1244626798