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Part I: Fundamentals
1. Introduction
1.1. On Programming
1.2. Python Basic Syntax
2. Syntax and Types
2.1. Variables
2.2. Python Operators
2.3. Built-in Types and Functions
2.3.7. Built-in Functions
2.3.8. Basic Types
2.3.9. Collection Types
3. Control Flow
3.1. Conditionals
3.2. Iteration
4. Functions
4.1. Defining Functions
4.2. Function Design
4.3. Recursion
5. Exceptions & Testing
5.1. Exceptions
5.2. Unit Testing
Part II: Data Structures
6. Lists
6.1. Creating Lists
6.2. Accessing Lists
6.3. List Operations
6.4. Aliasing & Copying
6.5. Advanced Lists
7. Tuples
7.1. Creating & Accessing
7.2. Tuple Unpacking
7.3. Tuple Operations
7.4. Tuples & Functions
8. Dictionaries & Sets
8.1. Dictionaries
8.1.4. Core Operations
8.1.5. Select Topics
8.2. Sets
8.2.5. Creating Sets
8.2.6. Set Operations
8.2.7. Set Methods
8.2.8. Advanced Sets
9. Strings
9.1. Strings
9.1.1. String Basics
9.1.2. String Methods
9.1.3. String Comparison
9.1.4. Looping & Sorting
9.1.5. Word List
9.2. Regex
9.2.3. The re Module
9.2.4. Regex Syntax
9.2.5. Advanced Regex
9.2.6. Applications
9.3. Text Analysis
9.3.2. Cleaning Text
9.3.3. Word Frequencies
9.3.4. Random Text
9.3.5. Markov Generation
Part III: Program Design
10. OOP
10.1. OOP Basics
10.2. The Four Pillars
10.3. Advanced OOP
11. FP
11.1. Functional Concepts
11.2. Functional Practice
12. Iterators & Generators
12.1. Iterators
12.2. Generators
13. APIs
13.1. API Basics
13.2. API Reliability
Part IV: DSA
14. Abstract Data Structures
14.1. ADT Basics
14.2. Stacks & Queues
14.3. Trees & Graphs
14.4. Assignments
15. Algorithms
15.1.1. Algorithms
15.1.2. Searching
15.1.3. Sorting
Appendices
Work Environment
Modules, Files, and Packaging
File Management
Modules
Packaging
Coding Patterns and Idioms
Jupyter
Python installation
Virtual Environment
Jupyter Notebook
Jupyter Bonus
Bibliography
Repository
Open issue
Index
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A
argument
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expression
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keywords
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[1]
S
statement