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    1.1. Course Overview
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    2.1. Introduction
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    2.2. The Python Type Hierarchy
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    2.3. Multi-Line Statements and Strings
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    2.4. Variable Names
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    2.5. Conditionals
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    2.6. Functions
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    2.7. The While Loop
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    2.8. Break, Continue and the Try Statement
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    2.9. The For Loop
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    2.10. Classes
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    3.1. Introduction
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    3.2. Variables are Memory References
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    3.3. Reference Counting
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    3.4. Garbage Collection
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    3.5. Dynamic vs Static Typing
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    3.6. Variable Re-Assignment
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    3.7. Object Mutability
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    3.8. Function Arguments and Mutability
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    3.9. Shared References and Mutability
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    3.10. Variable Equality
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    3.11. Everything is an Object
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    3.12. Python Optimizations Interning
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    3.13. Python Optimizations String Interning
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    3.14. Python Optimizations Peephole
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    4.1. Introduction
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    4.2. Integers Data Types
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    4.3. Integers Operations
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    4.4. Integers Constructors and Bases - Lecture
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    4.5. Integers Constructors and Bases - Coding
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    4.6. Rational Numbers - Lecture
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    4.7. Rational Numbers - Coding
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    4.8. Floats Internal Representations - Lecture
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    4.9. Floats Internal Representations - Coding
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    4.10. Floats Equality Testing - Lecture
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    4.11. Floats Equality Testing - Coding
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    4.12. Floats Coercing to Integers - Lecture
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    4.13. Floats Coercing to Integers - Coding
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    4.14. Floats Rounding - Lecture
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    4.15. Floats Rounding - Coding
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    4.16. Decimals - Lecture
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    4.17. Decimals - Coding
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    4.18. Decimals Constructors and Contexts - Lecture
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    4.19. Decimals Constructors and Contexts - Coding
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    4.20. Decimals Math Operations - Lecture
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    4.21. Decimals Math Operations - Coding
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    4.22. Decimals Performance Considerations
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    4.23. Complex Numbers - Lecture
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    4.24. Complex Numbers - Coding
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    4.25. Booleans
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    4.26. Booleans Truth Values - Lecture
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    4.27. Booleans Truth Values - Coding
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    4.28. Booleans Precedence and Short-Circuiting - Lecture
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    4.29. Booleans Precedence and Short-Circuiting - Coding
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    4.30. Booleans Boolean Operators - Lecture
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    4.31. Booleans Boolean Operators - Coding
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    4.32. Comparison Operators
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    5.1. Introduction
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    5.2. Argument vs Parameter
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    5.3. Positional and Keyword Arguments - Lecture
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    5.4. Positional and Keyword Arguments - Coding
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    5.5. Unpacking Iterables - Lecture
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    5.6. Unpacking Iterables - Coding
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    5.7. Extended Unpacking - Lecture
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    5.8. Extended Unpacking - Coding
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    5.9. args - Lecture
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    5.10. args - Coding
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    5.11. Keyword Arguments - Lecture
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    5.12. Keyword Arguments - Coding
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    5.13. kwargs
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    5.14. Putting it all Together - Lecture
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    5.15. Putting it all Together - Coding
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    5.16. Application A Simple Function Timer
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    5.17. Parameter Defaults - Beware!!
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    5.18. Parameter Defaults - Beware Again!!
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    6.1. Introduction
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    6.2. Docstrings and Annotations - Lecture
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    6.3. Docstrings and Annotations - Coding
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    6.4. Lambda Expressions - Lecture
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    6.5. Lambda Expressions - Coding
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    6.6. Lambdas and Sorting
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    6.7. Challenge - Randomize an Iterable using Sorted!!
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    6.8. Function Introspection - Lecture
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    6.9. Function Introspection - Coding
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    6.10. Callables
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    6.11. Map, Filter, Zip and List Comprehensions - Lecture
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    6.12. Map, Filter, Zip and List Comprehensions - Coding
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    6.13. Reducing Functions - Lecture
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    6.14. Reducing Functions - Coding
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    6.15. Partial Functions - Lecture
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    6.16. Partial Functions - Coding
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    6.17. The operator Module - Lecture
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    6.18. The operator Module - Coding
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    7.1. Introduction
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    7.2. Global and Local Scopes - Lecture
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    7.3. Global and Local Scopes - Coding
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    7.4. Nonlocal Scopes - Lecture
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    7.5. Nonlocal Scopes - Coding
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    7.6. Closures - Lecture
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    7.7. Closures - Coding
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    7.8. Closure Applications - Part 1
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    7.9. Closure Applications - Part 2
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    7.10. Decorators (Part 1) - Lecture
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    7.11. Decorators (Part 1) - Coding
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    7.12. Decorator Application (Timer)
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    7.13. Decorator Application (Logger, Stacked Decorators)
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    7.14. Decorator Application (Memoization)
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    7.15. Decorator Factories - Lecture
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    7.16. Decorator Factories - Coding
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    7.17. Decorator Application (Decorator Class)
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    7.18. Decorator Application (Decorating Classes)
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    7.19. Decorator Application (Dispatching) - Part 1
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    7.20. Decorator Application (Dispatching) - Part 2
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    7.21. Decorator Application (Dispatching) - Part 3
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    8.1. Introduction
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    8.2. Tuples as Data Structures - Lecture
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    8.3. Tuples as Data Structures - Coding
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    8.4. Named Tuples - Lecture
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    8.5. Named Tuples - Coding
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    8.6. Named Tuples - Modifying and Extending - Lecture
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    8.7. Named Tuples - Modifying and Extending - Coding
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    8.8. Named Tuples - DocStrings and Default Values - Lecture
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    8.9. Named Tuples - DocStrings and Default Values - Coding
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    8.10. Named Tuples - Application - Returning Multiple Values
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    8.11. Named Tuples - Application - Alternative to Dictionaries
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    9.1. Introduction
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    9.2. What is a Module
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    9.3. How does Python Import Modules
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    9.4. Imports and importlib
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    9.5. Import Variants and Misconceptions - Lecture
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    9.6. Import Variants and Misconceptions - Coding
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    9.7. Reloading Modules
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    9.8. Using __main__
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    9.9. Modules Recap
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    9.10. What are Packages - Lecture
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    9.11. What are Packages - Coding
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    9.12. Why Packages
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    9.13. Structuring Packages - Part 1
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    9.14. Structuring Packages - Part 2
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    9.15. Namespace Packages
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    9.16. Importing from Zip Archives
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    10.1. Python 3.10
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    10.2. Python 3.9
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    10.3. Python 3.8 3.7
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    10.4. Python 3.6 Highlights
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    10.5. Python 3.6 - Dictionary Ordering
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    10.6. Python 3.6 - Underscores in Numeric Literals
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    10.7. Python 3.6 - Preserved Order of kwargs and Named Tuple Application
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    10.8. Python 3.6 - f-Strings
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    11.1. Introduction
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    11.2. Additional Resources
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    11.3. Random Seeds
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    11.4. Random Choices
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    11.5. Random Samples
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    11.6. Timing code using timeit
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    11.7. Don't Use args and kwargs Names Blindly
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    11.8. Command Line Arguments
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    11.9. Sentinel Values for Parameter Defaults