Python Certification Course

Web and Mobile Development Courses

Course Outline

  • Module 1: Introduction to Python

    • Introduction to programming and Python’s role
    • Installing Python and development environment setup
    • Basic syntax and data types (numbers, strings, lists, tuples, dictionaries)
    • Variables, assignments, and basic operations
    • Writing and executing simple Python programs

    Module 2: Control Structures and Functions

    • Conditional statements (if, else, elif)
    • Loops (for, while) and iteration
    • Writing and using functions
    • Function parameters and return values
    • Scope and namespaces

    Module 3: Data Structures and File Handling

    • Lists: indexing, slicing, and manipulation
    • Tuples and sets
    • Dictionaries: creating, accessing, and updating
    • Reading from and writing to files
    • Exception handling and error management

    Module 4: Object-Oriented Programming (OOP)

    • Introduction to OOP concepts
    • Classes and objects
    • Constructors and destructors
    • Inheritance and polymorphism
    • Encapsulation and abstraction

    Module 5: Advanced Python Concepts

    • Generators and iterators
    • Decorators: purpose and usage
    • Lambda functions and map-reduce-filter operations
    • List comprehensions and generator expressions
    • Using libraries and modules: importing and using external code
    • Module 6: Working with Data

      • Introduction to data manipulation libraries (e.g., NumPy, Pandas)
      • Data analysis and manipulation using Pandas
      • Introduction to data visualization with Matplotlib

      Module 7: Web Development with Python

      • Introduction to web development and backend programming
      • Basics of HTML, CSS, and web requests
      • Building a simple web application using a micro web framework like Flask

      Module 8: Databases and SQL

      • Introduction to databases and database management systems
      • Using SQLite with Python
      • Performing basic SQL operations with Python
      • Connecting Python applications to databases

      Module 9: Testing and Debugging

      • Importance of testing and debugging
      • Writing unit tests using the built-in unittest framework
      • Debugging techniques and tools
      • Handling exceptions and errors effectively

      Module 10: Final Project

      • Integrating knowledge from all modules into a larger project
      • Planning, designing, and implementing a significant Python application
      • Version control using Git and GitHub
      • Presenting and demonstrating the final project

      Module 11: Best Practices and Further Learning

      • Writing clean and maintainable code
      • Code documentation and comments
      • Collaborative coding and code review
      • Exploring further resources, libraries, and frameworks
      • Preparing for Python certification exams and advancing your Python skills

Learning Outcome:-

Throughout the course, there should be a balance between theoretical concepts and practical coding exercises. Additionally, hands-on projects and assignments should be included to provide students with real-world programming experience. Remember to adapt this outline based on the expected duration of the course and the specific needs of the target audience.

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