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Index
Introduction
Chapter 1: Basics of the Python Programming Language
Installing Python
Installing Python in Macintosh Operating System X
Installing Python in Linux Operating Systems
Installing Python in Windows Operating System
How to Run Python
Integrated Development Environment (IDE)
Your First Program in Python
Variables
Conventions When Naming Variables in Python
Wrap-Up
Chapter 2: Variables in Python Programming Language
a) Numbers
b) Strings
Identifiers and Keywords
Comments and Statements
Statements in Python
Multi-line Python Statement
Indentation in Python
Comments in Pythons
Multi-line Comments
Python’s Docstring
Practice Exercise
Basic Operators in Python
Arithmetic Operators
Modulus
Squaring and Cubing in Python
Operators with String in Python
Wrap-Up
Chapter 3: Data Types in Python
❍ Numbers
❍ Number Conversion
Type Conversion
✓ Decimal in Python
✓ Fractions in Python
Mathematics in Python
Random function in Python
Lists in Python
Nested Lists
Accessing Elements from a List
Nested List Indexing
Python Negative Indexing
Manipulating Elements in a List using the assignment operator
Changing a range of items in a list
Appending/Extending items in the List
Removing or Deleting Items from a List
Deleting Multiple Elements
Using Empty List to Delete an entire or specific elements
List Methods in Python
Inbuilt Python Functions that can be used to manipulate Python Lists
Tuple in Python
Negative Indexing
Slicing
Available Tuple Methods in Python
Testing Membership in Tuple
Inbuilt Python Functions with Tuple
Accessing items in a string
Deleting or Changing in Python
String Operations
String Iteration
Membership Test in String
String Formatting in Python
Escape Sequences in Python
Wrap-Up
Chapter 4: Methods/Functions in Python
Methods in Python
Calling a Method in Python
Docstring
Python function return statement
Variable Scope and Lifetime in Python Functions
Function Types
Chapter 5: Type Conversion and Type Casting in Python
i. Implicit Conversion Type
Converting Integer to Float
ii. Explicit Conversion
Input, Output, and Import in Python
Formatting Output
Input in Python
Syntax/way of using it in Python
Import in Python
Namespace and Scope in Python
Namespace in Python
Variable Scope
Wrap-Up
Chapter 6: Flow Control and Loops in Python
if...else Statement
Nested if Statements in Python
range() function in Python
Using for loop with else
while Loop in Python
Using While loop with else
Python’s break and continue
continue statement in Python
pass Statement in Python
Chapter 7: Objects and Classes in Python
Syntax
Class or Object Instantiation
Functions
Inheritance in Python
Data Encapsulation/Data Hiding
Polymorphism
Definition of a Class
Creating an Object in Python
Constructors
Deleting Objects and Attributes
Deleting an Object
Inheritance in Python
Syntax
Function Overriding in Python
Inheritance in Multiple Form
Operator Overloading in Python
Making A Class Compatible with Inbuilt Special Functions
Additional inbuilt methods
Operator + Overloading
Overloading Comparison Operators
Functions for Implementing Overloading of Comparison Operators
Wrap-Up
Chapter 8: Scope and Life Time of Variables and Functions in Python
Keywords Arguments in Python
Arbitrary Arguments
Recursion in Python
Python Anonymous Function
Python’s Global, Local and Nonlocal
Python’s Global and Local Variable
Python’s Nonlocal Variables
Global Keyword in Python
Creating Global Variables across Python Modules
Chapter 9: Python Modules and Packages
Python Modules
Module Import
Import statement in Python
Importing all names
Module Search Path in Python
Reloading a Module
Dir() built-in Python function
Python Package
Chapter 10: Data Processing, Analysis, and Visualization
Chapter 11: Regression and Classification
Classification
Chapter 12: Applications of Python Programming in the Real World
a) Artificial Intelligence chips
b) Artificial Intelligence will enhance DevOps
c) The relationship between Artificial Intelligence and IoT
d) Personalized Drugs and Medicine
e) Increased Evolution of Machine Learning-based assistants
f) Computer vision will change and enhance the future of surveillance
g) Good metrics from machines or equipment using artificial Intelligence
h) Social Credit Systems
i) Healthcare will experience many Artificial Intelligence implementations
Conclusion
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