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Intermediate Python

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  1. Introduction to Intermediate Python
    Recap of Key Concepts from Introduction to Python Course
  2. Overview of Intermediate-Level Python Topics
  3. Working with Data Structures
    Advanced List Operations
  4. Advanced Dictionary Operations
  5. Tuples and Sets
  6. Working with Data Structures in NumPy and Pandas
  7. Advanced Control Flow
    List Comprehensions
  8. Generators and Generator Expressions
  9. The Itertools Module
  10. Advanced Functions
    Function Decorators
  11. Lambda Functions
  12. Closures
  13. Working with Regular Expressions
    Introduction to Regular Expressions
  14. Searching and Replacing Text Using Regular Expressions
  15. Extracting Data Using Regular Expressions
  16. Working with Dates and Times
    The Datetime Module
  17. Formatting and Parsing Dates and Times
  18. Timezones and Daylight Savings Time
  19. Advanced Object-Oriented Programming
    Property Decorators
  20. @classmethod and @staticmethod Decorators
  21. Abstract Base Classes and Interfaces
  22. Working with Multithreading
    Introduction to Threading
  23. Starting and Stopping Threads
  24. Synchronizing Threads
  25. Working with Multiprocessing
    Introduction to Multiprocessing
  26. Starting and Stopping Multiprocessing
  27. Synchronizing Processes
  28. Advanced Data Science with Python
    Introduction to Machine Learning with Scikit-Learn
  29. Clustering and Classification Algorithms
  30. Regression Algorithms
  31. Dimensionality Reduction
  32. Conclusion and Next Steps
    Recap of Key Concepts Learned
  33. Suggestions for Further Learning and Resources

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Home Intermediate Python Introduction to Multiprocessing
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Introduction to Multiprocessing

Yasin Cakal