Academy

Summer Python Course Syllabus

Course Title: Introduction to Python Programming

Duration: 8 weeks

Course Description: This course is an introduction to Python programming for beginners. It covers the fundamental concepts and techniques of Python, providing a strong foundation for further study or professional use.

Course Objectives:

  • Understand basic programming concepts and Python syntax
  • Develop problem-solving skills using Python
  • Write and debug Python programs
  • Use Python libraries for data manipulation and visualization

Week 1: Introduction to Python

Topics:

  • Course overview
  • Introduction to programming and Python
  • Setting up the Python environment (installing Python, IDEs)
  • Writing and running your first Python script

Activities:

  • Install Python and an IDE (e.g., PyCharm, VSCode, or Jupyter Notebook)
  • Write a simple “Hello, World!” program
  • Discuss basic programming concepts: variables, data types, and operators

Week 2: Control Structures

Topics:

  • Conditional statements (if, elif, else)
  • Loops (for, while)
  • Understanding indentation and code blocks

Activities:

  • Write programs using if-else statements
  • Create loops to iterate over sequences
  • Practice exercises on control structures

Week 3: Functions and Modules

Topics:

  • Defining and calling functions
  • Function parameters and return values
  • Importing and using modules
  • Writing your own modules

Activities:

  • Create functions to perform specific tasks
  • Use built-in Python modules (e.g., math, random)
  • Write and import custom modules

Week 4: Data Structures

Topics:

  • Lists, tuples, and sets
  • Dictionaries
  • List comprehensions
  • Basic operations on data structures

Activities:

  • Create and manipulate lists, tuples, sets, and dictionaries
  • Use list comprehensions to create new lists
  • Practice exercises on data structures

Week 5: File Handling

Topics:

  • Reading from and writing to files
  • Working with different file formats (text, CSV)
  • Exception handling

Activities:

  • Write programs to read from and write to files
  • Handle exceptions in file operations
  • Practice exercises on file handling

Week 6: Object-Oriented Programming

Topics:

  • Introduction to OOP concepts (classes, objects, inheritance)
  • Defining and using classes
  • Understanding attributes and methods
  • Inheritance and polymorphism

Activities:

  • Create classes and objects
  • Implement inheritance in classes
  • Practice exercises on OOP concepts

Week 7: Libraries and Frameworks

Topics:

  • Introduction to popular Python libraries (e.g., NumPy, pandas, matplotlib)
  • Basic data analysis and visualization
  • Using Python for web development (Flask or Django overview)

Activities:

  • Perform data analysis using pandas
  • Create visualizations using matplotlib
  • Explore basic web application development with Flask or Django

Week 8: Final Project and Review

Topics:

  • Course review and Q&A
  • Final project presentations
  • Next steps in Python learning

Activities:

  • Work on a final project that incorporates course concepts
  • Present the final project to the class
  • Discuss resources for further learning and professional development

Materials:

  • Textbook: “Python Crash Course” by Eric Matthes (optional)
  • Online resources: Python documentation, Stack Overflow, etc.

Assessment:

  • Weekly assignments and quizzes
  • Final project presentation

Prerequisites:

  • No prior programming experience required