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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Chapter 6: Decorators and Generators

1. Introduction to Decorators, Generators, and Descriptors2. Understanding and Implementing Decorators3. Understanding and Implementing Generators and Iterators4. Understanding and Implementing Descriptors5. Function Decorators6. Performance Benefits of GeneratorsStudent Activity
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