Python Course Curriculum

Master Python Programming: From Basics to Advanced Applications

Course Curriculum

1. Introduction to Python

  • Understanding Python and its uses
  • Setting up the Python environment
  • Basic syntax and first Python program
  • Using Jupyter Notebook and IDEs

2. Variables and Data Types

  • Defining variables and constants
  • Data types: strings, integers, floats, and booleans
  • Type casting and type conversion
  • Basic operations and expressions

3. Control Structures

  • Conditional statements: if, elif, and else
  • Loops: for and while loops
  • Using break and continue
  • List comprehensions

4. Functions

  • Defining and calling functions
  • Arguments and return values
  • Lambda functions
  • Scope and lifetime of variables

5. Data Structures

  • Lists and list methods
  • Tuples and tuple operations
  • Dictionaries and dictionary methods
  • Sets and set operations

6. Error Handling

  • Understanding errors and exceptions
  • Try, except, and finally blocks
  • Custom exceptions

7. Object-Oriented Programming (OOP)

  • Classes and objects
  • Constructors and destructors
  • Inheritance and polymorphism
  • Encapsulation and abstraction

8. Modules and Packages

  • Importing modules
  • Creating and using packages
  • Using popular Python libraries

9. File Handling

  • Reading and writing files
  • Working with CSV files
  • File handling with context managers

10. Introduction to Data Science with Python

  • NumPy basics for numerical data
  • Pandas for data manipulation
  • Data visualization with Matplotlib

11. Databases with SQLite

  • Introduction to databases and SQLite
  • Connecting to an SQLite database
  • Creating tables and inserting data
  • Querying, updating, and deleting data
  • Using SQLAlchemy for ORM (Object-Relational Mapping)

12. API Development

  • Understanding APIs and RESTful services
  • Setting up Flask for API development
  • Creating endpoints and handling HTTP requests
  • Parsing JSON data
  • Consuming external APIs

13. Final Projects

  • Capstone Project 1: Developing a real-world project using the concepts covered
  • Capstone Project 2: Developing a second project with a focus on API and database integration
  • Code review and feedback