Udemy - Python 3 Deep Dive (Part 1 - Functional) (8.2024)

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Udemy - Python 3 Deep Dive (Part 1 - Functional) (8.2024)

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文件列表

  • 07. Scopes, Closures and Decorators/2. Global and Local Scopes - Lecture.mp4 1.3 GB
  • 04. Numeric Types/4. Integers Constructors and Bases - Lecture.mp4 1.1 GB
  • 07. Scopes, Closures and Decorators/6. Closures - Lecture.mp4 788.1 MB
  • 08. Tuples as Data Structures and Named Tuples/11. Named Tuples - Application - Alternative to Dictionaries.mp4 778.2 MB
  • 04. Numeric Types/8. Floats Internal Representations - Lecture.mp4 740.0 MB
  • 04. Numeric Types/14. Floats Rounding - Lecture.mp4 722.0 MB
  • 07. Scopes, Closures and Decorators/12. Decorator Application (Timer).mp4 695.0 MB
  • 06. First-Class Functions/9. Function Introspection - Coding.mp4 653.1 MB
  • 07. Scopes, Closures and Decorators/4. Nonlocal Scopes - Lecture.mp4 626.3 MB
  • 03. Variables and Memory/4. Garbage Collection.mp4 597.6 MB
  • 04. Numeric Types/3. Integers Operations.mp4 590.8 MB
  • 03. Variables and Memory/14. Python Optimizations Peephole.mp4 580.9 MB
  • 04. Numeric Types/2. Integers Data Types.mp4 574.8 MB
  • 02. A Quick Refresher - Basics Review/10. Classes.mp4 568.0 MB
  • 08. Tuples as Data Structures and Named Tuples/4. Named Tuples - Lecture.mp4 560.3 MB
  • 02. A Quick Refresher - Basics Review/3. Multi-Line Statements and Strings.mp4 546.9 MB
  • 08. Tuples as Data Structures and Named Tuples/2. Tuples as Data Structures - Lecture.mp4 537.3 MB
  • 06. First-Class Functions/13. Reducing Functions - Lecture.mp4 522.5 MB
  • 04. Numeric Types/25. Booleans.mp4 506.6 MB
  • 07. Scopes, Closures and Decorators/20. Decorator Application (Dispatching) - Part 2.mp4 501.3 MB
  • 05. Function Parameters/3. Positional and Keyword Arguments - Lecture.mp4 485.9 MB
  • 07. Scopes, Closures and Decorators/7. Closures - Coding.mp4 480.2 MB
  • 07. Scopes, Closures and Decorators/19. Decorator Application (Dispatching) - Part 1.mp4 451.1 MB
  • 06. First-Class Functions/11. Map, Filter, Zip and List Comprehensions - Lecture.mp4 444.0 MB
  • 06. First-Class Functions/10. Callables.mp4 436.8 MB
  • 04. Numeric Types/28. Booleans Precedence and Short-Circuiting - Lecture.mp4 435.4 MB
  • 07. Scopes, Closures and Decorators/10. Decorators (Part 1) - Lecture.mp4 428.1 MB
  • 07. Scopes, Closures and Decorators/14. Decorator Application (Memoization).mp4 419.3 MB
  • 03. Variables and Memory/8. Function Arguments and Mutability.mp4 410.1 MB
  • 06. First-Class Functions/8. Function Introspection - Lecture.mp4 400.7 MB
  • 07. Scopes, Closures and Decorators/21. Decorator Application (Dispatching) - Part 3.mp4 397.9 MB
  • 09. Modules, Packages and Namespaces/10. What are Packages - Lecture.mp4 395.7 MB
  • 07. Scopes, Closures and Decorators/18. Decorator Application (Decorating Classes).mp4 392.6 MB
  • 03. Variables and Memory/7. Object Mutability.mp4 388.1 MB
  • 04. Numeric Types/10. Floats Equality Testing - Lecture.mp4 385.0 MB
  • 03. Variables and Memory/10. Variable Equality.mp4 370.8 MB
  • 04. Numeric Types/30. Booleans Boolean Operators - Lecture.mp4 363.7 MB
  • 05. Function Parameters/7. Extended Unpacking - Lecture.mp4 359.3 MB
  • 04. Numeric Types/32. Comparison Operators.mp4 355.2 MB
  • 04. Numeric Types/16. Decimals - Lecture.mp4 346.3 MB
  • 08. Tuples as Data Structures and Named Tuples/7. Named Tuples - Modifying and Extending - Coding.mp4 337.4 MB
  • 05. Function Parameters/17. Parameter Defaults - Beware!!.mp4 334.0 MB
  • 09. Modules, Packages and Namespaces/3. How does Python Import Modules.mp4 330.8 MB
  • 03. Variables and Memory/11. Everything is an Object.mp4 330.0 MB
  • 06. First-Class Functions/2. Docstrings and Annotations - Lecture.mp4 322.3 MB
  • 03. Variables and Memory/13. Python Optimizations String Interning.mp4 319.1 MB
  • 06. First-Class Functions/17. The operator Module - Lecture.mp4 313.0 MB
  • 07. Scopes, Closures and Decorators/11. Decorators (Part 1) - Coding.mp4 301.4 MB
  • 03. Variables and Memory/9. Shared References and Mutability.mp4 300.1 MB
  • 06. First-Class Functions/12. Map, Filter, Zip and List Comprehensions - Coding.mp4 297.7 MB
  • 08. Tuples as Data Structures and Named Tuples/6. Named Tuples - Modifying and Extending - Lecture.mp4 297.6 MB
  • 04. Numeric Types/6. Rational Numbers - Lecture.mp4 295.9 MB
  • 08. Tuples as Data Structures and Named Tuples/5. Named Tuples - Coding.mp4 291.5 MB
  • 05. Function Parameters/18. Parameter Defaults - Beware Again!!.mp4 285.3 MB
  • 08. Tuples as Data Structures and Named Tuples/8. Named Tuples - DocStrings and Default Values - Lecture.mp4 275.9 MB
  • 05. Function Parameters/14. Putting it all Together - Lecture.mp4 271.2 MB
  • 09. Modules, Packages and Namespaces/5. Import Variants and Misconceptions - Lecture.mp4 269.8 MB
  • 05. Function Parameters/5. Unpacking Iterables - Lecture.mp4 260.6 MB
  • 06. First-Class Functions/18. The operator Module - Coding.mp4 259.1 MB
  • 09. Modules, Packages and Namespaces/12. Why Packages.mp4 255.7 MB
  • 09. Modules, Packages and Namespaces/9. Modules Recap.mp4 252.9 MB
  • 11. Extras/8. Command Line Arguments.mp4 250.6 MB
  • 06. First-Class Functions/4. Lambda Expressions - Lecture.mp4 246.8 MB
  • 11. Extras/2. Additional Resources.mp4 245.1 MB
  • 03. Variables and Memory/3. Reference Counting.mp4 243.5 MB
  • 07. Scopes, Closures and Decorators/15. Decorator Factories - Lecture.mp4 241.2 MB
  • 04. Numeric Types/23. Complex Numbers - Lecture.mp4 240.5 MB
  • 09. Modules, Packages and Namespaces/8. Using __main__.mp4 233.9 MB
  • 03. Variables and Memory/12. Python Optimizations Interning.mp4 231.1 MB
  • 06. First-Class Functions/15. Partial Functions - Lecture.mp4 229.7 MB
  • 02. A Quick Refresher - Basics Review/4. Variable Names.mp4 225.1 MB
  • 04. Numeric Types/22. Decimals Performance Considerations.mp4 221.0 MB
  • 06. First-Class Functions/3. Docstrings and Annotations - Coding.mp4 215.4 MB
  • 06. First-Class Functions/16. Partial Functions - Coding.mp4 212.6 MB
  • 04. Numeric Types/18. Decimals Constructors and Contexts - Lecture.mp4 210.6 MB
  • 09. Modules, Packages and Namespaces/14. Structuring Packages - Part 2.mp4 206.2 MB
  • 09. Modules, Packages and Namespaces/15. Namespace Packages.mp4 205.5 MB
  • 04. Numeric Types/12. Floats Coercing to Integers - Lecture.mp4 199.9 MB
  • 04. Numeric Types/20. Decimals Math Operations - Lecture.mp4 198.0 MB
  • 07. Scopes, Closures and Decorators/16. Decorator Factories - Coding.mp4 197.4 MB
  • 03. Variables and Memory/2. Variables are Memory References.mp4 194.8 MB
  • 05. Function Parameters/11. Keyword Arguments - Lecture.mp4 189.8 MB
  • 04. Numeric Types/26. Booleans Truth Values - Lecture.mp4 188.8 MB
  • 09. Modules, Packages and Namespaces/6. Import Variants and Misconceptions - Coding.mp4 184.7 MB
  • 03. Variables and Memory/5. Dynamic vs Static Typing.mp4 183.1 MB
  • 07. Scopes, Closures and Decorators/13. Decorator Application (Logger, Stacked Decorators).mp4 179.6 MB
  • 09. Modules, Packages and Namespaces/4. Imports and importlib.mp4 178.7 MB
  • 05. Function Parameters/13. kwargs.mp4 176.7 MB
  • 08. Tuples as Data Structures and Named Tuples/3. Tuples as Data Structures - Coding.mp4 160.3 MB
  • 05. Function Parameters/16. Application A Simple Function Timer.mp4 154.3 MB
  • 11. Extras/4. Random Choices.mp4 152.5 MB
  • 09. Modules, Packages and Namespaces/2. What is a Module.mp4 152.0 MB
  • 09. Modules, Packages and Namespaces/13. Structuring Packages - Part 1.mp4 135.6 MB
  • 11. Extras/3. Random Seeds.mp4 132.9 MB
  • 11. Extras/6. Timing code using timeit.mp4 128.5 MB
  • 06. First-Class Functions/14. Reducing Functions - Coding.mp4 127.7 MB
  • 05. Function Parameters/6. Unpacking Iterables - Coding.mp4 121.8 MB
  • 05. Function Parameters/9. args - Lecture.mp4 121.6 MB
  • 05. Function Parameters/8. Extended Unpacking - Coding.mp4 120.1 MB
  • 04. Numeric Types/21. Decimals Math Operations - Coding.mp4 120.0 MB
  • 02. A Quick Refresher - Basics Review/2. The Python Type Hierarchy.mp4 119.9 MB
  • 05. Function Parameters/15. Putting it all Together - Coding.mp4 116.0 MB
  • 04. Numeric Types/31. Booleans Boolean Operators - Coding.mp4 114.5 MB
  • 05. Function Parameters/12. Keyword Arguments - Coding.mp4 111.6 MB
  • 07. Scopes, Closures and Decorators/8. Closure Applications - Part 1.mp4 110.0 MB
  • 08. Tuples as Data Structures and Named Tuples/9. Named Tuples - DocStrings and Default Values - Coding.mp4 106.0 MB
  • 09. Modules, Packages and Namespaces/7. Reloading Modules.mp4 103.1 MB
  • 04. Numeric Types/11. Floats Equality Testing - Coding.mp4 98.2 MB
  • 09. Modules, Packages and Namespaces/11. What are Packages - Coding.mp4 97.8 MB
  • 10. Python Updates/3. Python 3.8 3.7.mp4 97.6 MB
  • 07. Scopes, Closures and Decorators/9. Closure Applications - Part 2.mp4 96.8 MB
  • 07. Scopes, Closures and Decorators/3. Global and Local Scopes - Coding.mp4 94.1 MB
  • 04. Numeric Types/15. Floats Rounding - Coding.mp4 93.1 MB
  • 04. Numeric Types/24. Complex Numbers - Coding.mp4 93.0 MB
  • 04. Numeric Types/5. Integers Constructors and Bases - Coding.mp4 92.3 MB
  • 04. Numeric Types/27. Booleans Truth Values - Coding.mp4 91.2 MB
  • 04. Numeric Types/29. Booleans Precedence and Short-Circuiting - Coding.mp4 86.5 MB
  • 03. Variables and Memory/6. Variable Re-Assignment.mp4 85.7 MB
  • 10. Python Updates/5. Python 3.6 - Dictionary Ordering.mp4 83.8 MB
  • 06. First-Class Functions/1. Introduction.mp4 82.9 MB
  • 10. Python Updates/1. Python 3.10.mp4 80.7 MB
  • 10. Python Updates/2. Python 3.9.mp4 80.4 MB
  • 04. Numeric Types/12. 12 - Floats to Integers.pdf 78.2 MB
  • 05. Function Parameters/2. Argument vs Parameter.mp4 75.8 MB
  • 07. Scopes, Closures and Decorators/17. Decorator Application (Decorator Class).mp4 74.1 MB
  • 11. Extras/1. Introduction.mp4 73.8 MB
  • 06. First-Class Functions/6. Lambdas and Sorting.mp4 71.6 MB
  • 02. A Quick Refresher - Basics Review/9. The For Loop.mp4 71.3 MB
  • 04. Numeric Types/17. Decimals - Coding.mp4 70.3 MB
  • 04. Numeric Types/19. Decimals Constructors and Contexts - Coding.mp4 67.4 MB
  • 08. Tuples as Data Structures and Named Tuples/1. Introduction.mp4 66.3 MB
  • 06. First-Class Functions/5. Lambda Expressions - Coding.mp4 65.8 MB
  • 10. Python Updates/4. Python 3.6 Highlights.mp4 64.4 MB
  • 04. Numeric Types/1. Introduction.mp4 61.4 MB
  • 02. A Quick Refresher - Basics Review/8. Break, Continue and the Try Statement.mp4 60.6 MB
  • 01. Introduction/1. Course Overview.mp4 60.2 MB
  • 07. Scopes, Closures and Decorators/5. Nonlocal Scopes - Coding.mp4 59.7 MB
  • 09. Modules, Packages and Namespaces/1. Introduction.mp4 58.5 MB
  • 03. Variables and Memory/1. Introduction.mp4 56.9 MB
  • 02. A Quick Refresher - Basics Review/7. The While Loop.mp4 56.8 MB
  • 04. Numeric Types/7. Rational Numbers - Coding.mp4 56.6 MB
  • 02. A Quick Refresher - Basics Review/6. Functions.mp4 53.4 MB
  • 05. Function Parameters/10. args - Coding.mp4 49.3 MB
  • 04. Numeric Types/13. Floats Coercing to Integers - Coding.mp4 44.1 MB
  • 08. Tuples as Data Structures and Named Tuples/10. Named Tuples - Application - Returning Multiple Values.mp4 41.7 MB
  • 11. Extras/5. Random Samples.mp4 36.0 MB
  • 11. Extras/9. Sentinel Values for Parameter Defaults.mp4 33.8 MB
  • 02. A Quick Refresher - Basics Review/5. Conditionals.mp4 30.5 MB
  • 07. Scopes, Closures and Decorators/1. Introduction.mp4 30.4 MB
  • 05. Function Parameters/4. Positional and Keyword Arguments - Coding.mp4 27.2 MB
  • 10. Python Updates/8. Python 3.6 - f-Strings.mp4 23.6 MB
  • 11. Extras/7. Don't Use args and kwargs Names Blindly.mp4 22.5 MB
  • 05. Function Parameters/1. Introduction.mp4 22.3 MB
  • 04. Numeric Types/9. Floats Internal Representations - Coding.mp4 22.2 MB
  • 10. Python Updates/7. Python 3.6 - Preserved Order of kwargs and Named Tuple Application.mp4 20.1 MB
  • 01. Introduction/4. Python Deep Dive 1.pdf 18.8 MB
  • 09. Modules, Packages and Namespaces/16. Importing from Zip Archives.mp4 18.1 MB
  • 06. First-Class Functions/7. Challenge - Randomize an Iterable using Sorted!!.mp4 11.2 MB
  • 10. Python Updates/6. Python 3.6 - Underscores in Numeric Literals.mp4 9.0 MB
  • 02. A Quick Refresher - Basics Review/1. Introduction.mp4 8.4 MB
  • 11. Extras/2. Additional Resources.pdf 1.1 MB
  • 07. Scopes, Closures and Decorators/2. 02 - Global and Local Scopes.pdf 826.7 kB
  • 01. Introduction/1. Section 1 - Intro.pdf 802.4 kB
  • 07. Scopes, Closures and Decorators/4. 04 - NonLocal Sopes.pdf 741.0 kB
  • 08. Tuples as Data Structures and Named Tuples/4. 04 - Named Tuples.pdf 589.3 kB
  • 05. Function Parameters/7. 07 - Extended Unpacking.pdf 565.8 kB
  • 09. Modules, Packages and Namespaces/10. 09 - What are Packages.pdf 557.4 kB
  • 04. Numeric Types/4. 04 - Integers - Constructors and Bases.pdf 540.5 kB
  • 06. First-Class Functions/13. 13 - Reducing Functions.pdf 521.9 kB
  • 04. Numeric Types/14. 14 - Floats - Rounding.pdf 499.4 kB
  • 08. Tuples as Data Structures and Named Tuples/6. 06 - Named Tuples - Modifying and Extending.pdf 497.8 kB
  • 07. Scopes, Closures and Decorators/6. 06 - Closures.pdf 494.8 kB
  • 04. Numeric Types/30. 30 - Boolean - Boolean Operators.pdf 485.3 kB
  • 06. First-Class Functions/8. 08 - Function Introspection.pdf 473.9 kB
  • 09. Modules, Packages and Namespaces/5. 05 - Import Variants.pdf 473.4 kB
  • 06. First-Class Functions/11. 11 - Map, Filter, Zip.pdf 468.0 kB
  • 05. Function Parameters/14. 14 - Putting it all together.pdf 467.4 kB
  • 04. Numeric Types/28. 28 - Boolean - Precedence and Short-Circuiting.pdf 465.7 kB
  • 06. First-Class Functions/2. 02 - Docstrings and Annotations.pdf 452.9 kB
  • 07. Scopes, Closures and Decorators/15. 15 - Decorators 2.pdf 452.4 kB
  • 05. Function Parameters/5. 05 - Unpacking Iterables.pdf 451.1 kB
  • 06. First-Class Functions/17. 17 - The operator Module.pdf 446.8 kB
  • 08. Tuples as Data Structures and Named Tuples/2. 02 - Tuples.pdf 440.7 kB
  • 07. Scopes, Closures and Decorators/10. 10 - Decorators 1.pdf 438.7 kB
  • 09. Modules, Packages and Namespaces/12. 11 - Why Packages.pdf 438.0 kB
  • 08. Tuples as Data Structures and Named Tuples/8. 08 - Named Tuples - DocStrings and Default Values.pdf 436.4 kB
  • 05. Function Parameters/3. 03 - Positional Arguments.pdf 434.8 kB
  • 04. Numeric Types/10. 10 - Floats - Equality Testing.pdf 425.8 kB
  • 04. Numeric Types/32. 32 - Comparison Operators.pdf 422.6 kB
  • 04. Numeric Types/3. 03 - Integers - Operations.pdf 409.8 kB
  • 02. A Quick Refresher - Basics Review/3. Multi-Line Statements and Strings.pdf 402.6 kB
  • 03. Variables and Memory/2. 02 - Variables are Memory References.pdf 395.9 kB
  • 04. Numeric Types/25. 25 - Booleans.pdf 395.7 kB
  • 06. First-Class Functions/4. 04 - Lambda Expressions.pdf 393.8 kB
  • 04. Numeric Types/20. 20 - Decimals - Math Operations.pdf 390.3 kB
  • 03. Variables and Memory/8. 08 - Function Arguments and Mutability.pdf 388.5 kB
  • 04. Numeric Types/2. 02 - Integers Data Type.pdf 386.0 kB
  • 09. Modules, Packages and Namespaces/9. 08 - Modules Recap.pdf 385.7 kB
  • 09. Modules, Packages and Namespaces/15. 14 - Namespace Packages.pdf 384.4 kB
  • 03. Variables and Memory/13. 13 - Python Optimizations String Interning.pdf 381.8 kB
  • 05. Function Parameters/17. 17 - Default Values.pdf 378.9 kB
  • 03. Variables and Memory/7. 07 - Object Mutability.pdf 378.1 kB
  • 04. Numeric Types/18. 18 - Decimals - Constructors and Contexts.pdf 377.0 kB
  • 05. Function Parameters/11. 11 - Keyword Arguments.pdf 376.7 kB
  • 03. Variables and Memory/9. 09 - Shared References and Mutability.pdf 373.5 kB
  • 04. Numeric Types/6. 06 - Rational Numbers.pdf 367.6 kB
  • 02. A Quick Refresher - Basics Review/4. Variable Names.pdf 366.3 kB
  • 04. Numeric Types/26. 26 - Booleans - Truth Values - Lecture.pdf 364.9 kB
  • 06. First-Class Functions/15. 15 - Partial Functions.pdf 357.8 kB
  • 03. Variables and Memory/5. 05 - Dynamic vs Static Typing.pdf 356.6 kB
  • 02. A Quick Refresher - Basics Review/2. Python Type Hierarchy.pdf 354.5 kB
  • 04. Numeric Types/8. 08 - Floats - Internal Representation.pdf 353.6 kB
  • 03. Variables and Memory/10. 10 - Variable Equality.pdf 351.1 kB
  • 04. Numeric Types/23. 23 - Complex Numbers.pdf 350.9 kB
  • 03. Variables and Memory/12. 12 - Python Optimizations - Interning.pdf 349.8 kB
  • 03. Variables and Memory/14. 14 - Python Optimizations - Peephole.pdf 331.6 kB
  • 03. Variables and Memory/11. 11 - Everything is an Object.pdf 330.1 kB
  • 04. Numeric Types/16. 16 - Decimals.pdf 326.7 kB
  • 05. Function Parameters/9. 09 - star-args.pdf 325.1 kB
  • 03. Variables and Memory/4. 04 - Garbage Collection.pdf 318.6 kB
  • 04. Numeric Types/22. 22 - Decimals - Performance Considerations.pdf 318.5 kB
  • 05. Function Parameters/2. 02 - Argument vs Parameter.pdf 318.2 kB
  • 03. Variables and Memory/6. 06 - Variable Re-Assignment.pdf 311.8 kB
  • 06. First-Class Functions/10. 10 - Callables.pdf 307.9 kB
  • 03. Variables and Memory/3. 03 - Reference Counting.pdf 303.3 kB
  • 05. Function Parameters/13. 13 - kwargs.pdf 298.7 kB
  • 02. A Quick Refresher - Basics Review/1. Quick Refresher Introduction.pdf 266.9 kB
  • 11. Extras/8. Command Line Arguments.vtt 68.8 kB
  • 09. Modules, Packages and Namespaces/3. How does Python Import Modules.vtt 63.9 kB
  • 07. Scopes, Closures and Decorators/18. Decorator Application (Decorating Classes).vtt 60.5 kB
  • 07. Scopes, Closures and Decorators/6. Closures - Lecture.vtt 52.7 kB
  • 02. A Quick Refresher - Basics Review/10. Classes.vtt 51.2 kB
  • 09. Modules, Packages and Namespaces/13. Structuring Packages - Part 1.vtt 46.7 kB
  • 07. Scopes, Closures and Decorators/2. Global and Local Scopes - Lecture.vtt 45.5 kB
  • 07. Scopes, Closures and Decorators/20. Decorator Application (Dispatching) - Part 2.vtt 45.1 kB
  • 07. Scopes, Closures and Decorators/12. Decorator Application (Timer).vtt 44.9 kB
  • 08. Tuples as Data Structures and Named Tuples/5. Named Tuples - Coding.vtt 44.9 kB
  • 10. Python Updates/3. Python 3.8 3.7.vtt 43.1 kB
  • 07. Scopes, Closures and Decorators/7. Closures - Coding.vtt 41.0 kB
  • 06. First-Class Functions/18. The operator Module - Coding.vtt 40.6 kB
  • 07. Scopes, Closures and Decorators/19. Decorator Application (Dispatching) - Part 1.vtt 39.5 kB
  • 08. Tuples as Data Structures and Named Tuples/11. Named Tuples - Application - Alternative to Dictionaries.vtt 38.7 kB
  • 07. Scopes, Closures and Decorators/14. Decorator Application (Memoization).vtt 38.2 kB
  • 05. Function Parameters/8. Extended Unpacking - Coding.vtt 37.6 kB
  • 04. Numeric Types/4. Integers Constructors and Bases - Lecture.vtt 37.2 kB
  • 08. Tuples as Data Structures and Named Tuples/4. Named Tuples - Lecture.vtt 37.0 kB
  • 06. First-Class Functions/13. Reducing Functions - Lecture.vtt 36.1 kB
  • 06. First-Class Functions/9. Function Introspection - Coding.vtt 35.9 kB
  • 09. Modules, Packages and Namespaces/4. Imports and importlib.vtt 35.8 kB
  • 10. Python Updates/2. Python 3.9.vtt 35.0 kB
  • 09. Modules, Packages and Namespaces/14. Structuring Packages - Part 2.vtt 33.8 kB
  • 10. Python Updates/1. Python 3.10.vtt 33.7 kB
  • 04. Numeric Types/14. Floats Rounding - Lecture.vtt 33.5 kB
  • 11. Extras/4. Random Choices.vtt 33.3 kB
  • 09. Modules, Packages and Namespaces/6. Import Variants and Misconceptions - Coding.vtt 33.1 kB
  • 06. First-Class Functions/16. Partial Functions - Coding.vtt 33.0 kB
  • 09. Modules, Packages and Namespaces/11. What are Packages - Coding.vtt 32.7 kB
  • 07. Scopes, Closures and Decorators/21. Decorator Application (Dispatching) - Part 3.vtt 32.6 kB
  • 08. Tuples as Data Structures and Named Tuples/3. Tuples as Data Structures - Coding.vtt 32.5 kB
  • 07. Scopes, Closures and Decorators/16. Decorator Factories - Coding.vtt 32.2 kB
  • 09. Modules, Packages and Namespaces/8. Using __main__.vtt 32.1 kB
  • 09. Modules, Packages and Namespaces/2. What is a Module.vtt 31.4 kB
  • 07. Scopes, Closures and Decorators/13. Decorator Application (Logger, Stacked Decorators).vtt 30.2 kB
  • 03. Variables and Memory/4. Garbage Collection.vtt 29.8 kB
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