Learn Python and Data Structures

The Python and Data Structures course provides an in-depth introduction to Python programming and essential data structures. This course is tailored for beginners and intermediate learners aiming to master Python and utilize its powerful libraries for data manipulation and analysis.

Course Outline:

• Tuples:

  • Understanding tuples and their properties
  • Tuple operations and methods
  • Use cases of tuples in Python programming

• Sets:

  • Introduction to sets and their characteristics
  • Set operations and methods
  • Practical applications of sets in data handling

• Dictionaries

  • Basics of dictionaries
  • Dictionary operations and methods
  • Using dictionaries for efficient data storage and retrieval

• Files

  • File handling in Python
  • Reading from and writing to files
  • Working with different file formats

-Introduction to OOP

• Principles of object-oriented programming

• Creating classes and objects

• Constructors and methods

• Implementing OOP concepts in Python

• NumPy

  • Introduction to NumPy
  • Creating and manipulating arrays
  • Utilizing NumPy for numerical computations

• Pandas

  • Basics of pandas for data manipulation
  • DataFrames and Series
  • Data cleaning, transformation, and analysis using pandas

• Visualization (Seaborn)

  • Introduction to data visualization
  • Creating plots with seaborn
  • Customizing and interpreting visual data representations

The Python and Data Structures course is designed to build a strong foundation in Python programming and data handling. By the end of this course, students will have gained the skills to effectively use Python and its libraries for various data manipulation, analysis, and visualization tasks. This course prepares students for advanced topics in data science and machine learning.