Covered Topics:

  1. Introduction to Python
  2. Python Basics
  3. Control Structures
  4. Functions and Modules
  5. Data Structures
  6. Strings and Regular Expressions
  7. File Handling
  8. Exception Handling
  9. Object-Oriented Programming
  10. Python Libraries Overview
  11. Python for Web and Automation
  12. Python for Data Science

Covered Topics:

  1. Introduction to Pandas
  2. Working with Series
  3. Working with Data Frames
  4. Data Cleaning
  5. Data Manipulation
  6. Data Visualization
  7. Time Series in Pandas
  8. Performance Optimization
  9. Interview Preparation

 

 

Covered Topics:

  1. Introduction to NumPy
  2. NumPy Arrays
  3. Array Operations
  4. Array Manipulation
  5. Mathematical and Statistical Functions
  6. Random Module
  7. Advanced Indexing
  8. Working with Missing Data
  9. Performance and Memory