What will you learn in Python Classes and Inheritance Course
- Explore classes, instances, and inheritance to represent data efficiently.
- Gain insights into class design and cultivate the practice of writing automated tests for your code.
- Learn to override built-in methods and create inherited classes that reuse functionality.
- Use Object-Oriented Programming (OOP) to create more scalable and maintainable code.
Program Overview
Module 1: Introduction to Classes
⌛ 1 week
- Topics: User-defined classes, adding parameters to constructors, methods, and instance variables.
- Hands-on: Creating instances from data and testing classes.
Module 2: Objects and Instances
⌛ 1 week
- Topics: Converting objects to strings, special (dunderscore) methods, sorting lists of instances, and class vs. instance variables.
- Hands-on: Writing code to manipulate and sort objects.
Module 3: Inheritance ⌛ 1 week
- Topics: Inheriting variables and methods, overriding methods, invoking parent methods, and multiple inheritance.
- Hands-on: Building inherited classes to reuse functionality.
Module 4: Decorators
⌛ 1 week
- Topics: Function wrapping and decorators, decorators with classes, and property decorators.
- Hands-on: Applying decorators to functions and classes.
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Job Outlook
- The skills learned are highly relevant for roles in software development and data engineering.
- Strong demand for professionals with Python and OOP skills.
- The median salary for a Python developer is estimated to be over $100,000 annually.
Specification: Python Classes and Inheritance
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FAQs
- Basic Python knowledge recommended; designed for learners familiar with syntax and functions.
- Focuses on object-oriented programming (OOP) concepts like classes, instances, and inheritance.
- Includes hands-on exercises to reinforce understanding.
- Prepares learners for scalable and maintainable Python coding practices.
- Suitable for aspiring software developers and data engineers.
- Teaches user-defined classes, constructors, methods, and instance variables.
- Covers converting objects to strings and using special (dunderscore) methods.
- Includes exercises for sorting and manipulating object collections.
- Helps learners understand class vs. instance variables.
- Prepares learners to write organized and reusable code.
- Covers inheriting variables and methods, overriding, and invoking parent methods.
- Includes multiple inheritance and best practices for class design.
- Provides hands-on exercises for reusing code across classes.
- Enhances skills for building larger Python applications.
- Useful for software development, backend engineering, and data-driven projects.
- Duration: approximately 4 weeks, self-paced.
- Modules include Introduction to Classes, Objects and Instances, Inheritance, and Decorators.
- Hands-on exercises reinforce each concept progressively.
- Final project may require independent research for deeper understanding.
- Suitable for learners seeking a focused yet intensive OOP training.
- Learn to apply function and class decorators, including property decorators.
- Practice wrapping functions and enhancing class functionality.
- Builds expertise for more maintainable and readable Python code.
- Enhances readiness for complex software development tasks.
- Skills directly transferable to backend development and professional coding projects.
