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
  • 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
    • 1. Introduction to databases SQL and NoSQL and SQL language
    • 2. Connecting to databases using sqlite3
    • 3. Performing CRUD operations (Create, Read, Update, Delete)
    • 4. NoSQL - MongoDB
    • 5. Introduction to ORM (Object Relational Mapping) with SQLAlchemy
    • 6. JSON and Pickle for Data Serialization
    • 7. Working with APIs
    • Student Activity
  • 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 11: Database Operations and Data Serialization

1. Introduction to databases SQL and NoSQL and SQL language2. Connecting to databases using sqlite33. Performing CRUD operations (Create, Read, Update, Delete)4. NoSQL - MongoDB5. Introduction to ORM (Object Relational Mapping) with SQLAlchemy6. JSON and Pickle for Data Serialization7. Working with APIsStudent Activity
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