Advanced Python
Ctrlk
  • Python Tools for Data Analytics
  • Chapter 1: Introduction to Python Programming
  • Chapter 2: Control Flow and Looping in Python
  • Chapter 3: Functions and Functional Programming
  • Chapter 4: Data Structures and Variables in Python
  • Chapter 5: Object-Oriented Programming (OOP)
  • Chapter 6: Decorators and Generators
    • 1. Introduction to Decorators, Generators, and Descriptors
    • 2. Understanding and Implementing Decorators
    • 3. Understanding and Implementing Generators and Iterators
    • 4. Understanding and Implementing Descriptors
    • 5. Function Decorators
    • 6. Performance Benefits of Generators
    • Student Activity
  • Chapter 7: Modules and Packages
  • Chapter 8: File Handling
  • Chapter 9: Error and Exception Handling
  • Chapter 10: Working with Libraries
  • Chapter 11: Database Operations and Data Serialization
  • Chapter 12: NumPy for Data Analysis
  • Chapter 13: Pandas for Data Analysis
  • Chapter 14: Data Visualization with Matplotlib and Seaborn
  • Chapter 15: Understanding Exploratory Data Analysis (EDA) Frameworks
  • Chapter 16:
  • Mini Project 1
  • Mini Project 2
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  1. Chapter 6: Decorators and Generators

4. Understanding and Implementing Descriptors

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