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Python Programming

Introduction to Python Programming provides a comprehensive foundation in programming concepts and skills, and it is aligned to the scope of most introductory courses. A wide array of scenarios, contexts, and problems reflect programming applications in many disciplines and careers. The offering is suitable for a diverse learner audience, including those pursuing computer science, business, science, social science, statistics, data science, and related areas of study and employment.

Computer Science Engineering

Author: OpenStax
Publisher: LibreTexts
Source: LibreTexts
License: CC BY
Language: EN
Category: Information Technology

Read online Download PDF (open licence)

Contents· 145 sections

01: Statements
1.00: Introduction
1.01: Background
1.02: Input Output
1.03: Variables
1.04: String Basics
1.05: Number Basics
1.06: Error Messages
1.07: Comments
1.08: Why Python
1.09: Chapter summary
02: Expressions
2.00: Introduction
2.01: The Python Shell
2.02: Type Conversion
2.03: Mixed Data Types
2.04: Floating-point Errors
2.05: Dividing Integers
2.06: The Math Module
2.07: Formatting Code
2.08: Python Careers
2.09: Chapter Summary
03: Objects
3.00: Introduction
3.01: Strings Revisited
3.02: Formatted Strings
3.03: Variables Revisited
3.04: List Basics
3.05: Tuple Basics
3.06: Chapter Summary
04: Decisions
4.00: Introduction
4.01: Boolean Values
4.02: If-else Statements
4.03: Boolean Operations
4.04: Operator Precedence
4.05: Chained Decisions
4.06: Nested Decisions
4.07: Conditional Expressions
4.08: Chapter Summary
05: Loops
5.00: Introduction
5.01: While Loop
5.02: For Loop
5.03: Nested Loops
5.04: Break and Continue
5.05: Loop Else
5.06: Chapter Summary
06: Functions
6.00: Introduction
6.01: Defining Functions
6.02: Control Flow
6.03: Variable Scope
6.04: Parameters
6.05: Return Values
6.06: Keyword Arguments
6.07: Chapter Summary
07: Modules
7.00: Introduction
7.01: Module Basics
7.02: Importing Names
7.03: Top-level Code
7.04: The Help Function
7.05: Finding Modules
7.06: Chapter Summary
08: Strings
8.00: Introduction
8.01: String Operations
8.02: String Slicing
8.03: Searching Testing Strings
8.04: String Formatting
8.05: Splitting Joining Strings
8.06: Chapter Summary
09: Lists
9.00: Introduction
9.01: Modifying and Iterating Lists
9.02: Sorting and Reversing Lists
9.03: Common List Operations
9.04: Nested Lists
9.05: List Comprehensions
9.06: Chapter Summary
10: Dictionaries
10.00: Introduction
10.01: Dictionary Basics
10.02: Dictionary Creation
10.03: Dictionary Operations
10.04: Conditionals and Looping in Dictionaries
10.05: Nested Dictionaries and Dictionary Comprehension
10.06: Chapter Summary
11: Classes
11.00: Introduction
11.01: Object-Oriented Programming Basics
11.02: Classes and Instances
11.03: Instance Methods
11.04: Overloading Operators
11.05: Using Modules with Classes
11.06: Chapter Summary
12: Recursion
12.00: Introduction
12.01: Recursion Basics
12.02: Simple Math Recursion
12.03: Recursion with Strings and Lists
12.04: More Math Recursion
12.05: Using Recursion to Solve Problems
12.06: Chapter Summary
13: Inheritance
13.00: Introduction
13.01: Inheritance Basics
13.02: Attribute Access
13.03: Methods
13.04: Hierarchical Inheritance
13.05: Multiple Inheritance and Mixin Classes
13.06: Chapter Summary
14: Files
14.00: Introduction
14.01: Reading from Files
14.02: Writing to Files
14.03: Files in Different Locations and Working with CSV Files
14.04: Handling Exceptions
14.05: Raising Exceptions
14.06: Chapter Summary
15: Data Science
15.00: Introduction
15.01: Introduction to Data Science
15.02: NumPy
15.03: Pandas
15.04: Exploratory Data Analysis
15.05: Data Visualization
15.06: Chapter Summary
16: Answer Key
16.00: Chapter 1
16.01: Chapter 2
16.02: Chapter 3
16.03: Chapter 4
16.04: Chapter 5
16.05: Chapter 6
16.06: Chapter 7
16.07: Chapter 8
16.08: Chapter 9
16.09: Chapter 10
16.10: Chapter 11
16.11: Chapter 12
16.12: Chapter 13
16.13: Chapter 14
16.14: Chapter 15