Python For Busy People
Python For Busy People
Designed for Busy People with Deadlines
About the Book
"Python For Busy People" are for busy information technology professional and students who need to learn Python in the shortest period of time, but learn all the programming language fundamentals well enough to write scripts and programs with confidence.
About the Author
Table of Contents
- Introduction
- Overview
- Python Syntax
- Python Comments
- Python Variables
- Python Data Types
- Python Numbers
- Python Casting
- Python Strings
- Python Booleans
-
Python Operators
- Section 9.1 - Python Operators
- Section 9.2 - Python Arithmetic Operators
- Section 9.3 - Python Assignment Operators
- Section 9.4 - Python Comparison Operators
- Section 9.5 - Python Logical Operators
- Section 9.6 - Python Identity Operators
- Section 9.7 - Python Membership Operators
- Section 9.8 - Python Bitwise Operators
- Section 9.9 - Operator Precedence
-
Python Lists
- Section 10.1 - List
- Section 10.2 - List Items - Data Types
- Section 10.3 - Access List Items
- Section 10.4 - Change List Items
- Section 10.5 - Add List Items
- Section 10.6 - Remove List Items
- Section 10.7 - Loop Lists
- Section 10.8 - List Comprehension
- Section 10.9 - Sort Lists
- Section 10.10 - Copy Lists
- Section 10.11 - Join Lists
- Section 10.12 - List Methods
- Python Tuples
- Python Sets
-
Python Dictionaries
- Section 13.1 - Dictionary
- Section 13.2 - Access Dictionary Items
- Section 13.3 - Change Dictionary Items
- Section 13.4 - Add Dictionary Items
- Section 13.5 - Remove Dictionary Items
- Section 13.6 - Loop Dictionaries
- Section 13.7 - Copy Dictionaries
- Section 13.8 - Nested Dictionaries
- Section 13.9 - Dictionary Methods
- Python If…Else
-
Python
WhileLoops -
Python
ForLoops - Python Functions
- Python Lambda
- Python Arrays
- Python Classes and Objects
- Python Inheritance
- Python Iterators
- Python Polymorphism
- Python Scope
- Python Modules
- Python Datetime
- Python Math
- Python JSON
- Python Try Except
- Python User Input
- Python String Formatting
- Python File Open
- Python File Open
- Python File Write
- Python Delete File
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