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skills, you’re now well-equipped to create complex systems and write sleek, Pythonic code.</p><p id="aded">To further deepen your knowledge, consider exploring the following written tutorials and video courses:</p><h2 id="581c">Written Tutorials</h2><ul><li>Inheritance and Composition: A Python OOP Guide</li><li>Supercharge Your Classes With Python <code>super()</code></li><li>Data Classes in Python 3.7+ (Guide)</li><li>Python’s <code>property()</code>: Add Managed Attributes to Your Classes</li><li>Providing Multiple Constructors in Your Python Classes</li></ul><h2 id="17e0">Video Courses</h2><ul><li>Inheritance and Composition: A Python OOP Guide</li><li>Supercharge Your Classes With Python <code>super()</code></li><li>Using Data Classes in Python</li><li>Managing Attributes With Python’s <code>property()</code></li><li>Providing Multiple Constructors in Your Python Classes</li><li>Getters and Setters in Python</li><li>Class Concepts: Object-Oriented Programming in Python</li><li>Inheritance and Internals: Object-Oriented Programming in Python</li><li>Design and Guidance: Object-Oriented Programming in Python</li></ul><p id="e46e">For additional resources on object-oriented programming, you can explore the Real Python <a href="https://realpython.com/learning-paths/object-oriented-programming-oop-python/">learning path</a> dedicated to mastering the fundamentals of OOP.</p><p id="d8aa">To continue your Python learning journey, you ma

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y also consider exploring other Python Basics courses available on Real Python. Additionally, obtaining a copy of <i>Python Basics: A Practical Introduction to Python 3</i> can further enhance your understanding and proficiency in Python.</p><h2 id="5f05">Sample Code and Course Slides</h2><p id="9c9b">You can download the sample code and course slides to further reinforce the concepts and techniques covered in the course:</p><ul><li><a href="link-to-sample-code">Sample Code (.zip)</a></li><li><a href="link-to-course-slides">Course Slides (.pdf)</a></li></ul><p id="d373">As you progress in your Python programming journey, continue to practice and apply the techniques and principles you’ve learned. Congratulations once again on completing the course, and best of luck as you apply your newfound skills in real-world projects!</p><div id="e6de" class="link-block"> <a href="https://readmedium.com/python-easier-testing-in-python-5dea9c1de38f"> <div> <div> <h2>PYTHON — Easier Testing in Python</h2> <div><h3>The best way to predict the future is to invent it. — Alan Kay</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*gBNfz3vPjkEcfJob.jpeg)"></div> </div> </div> </a> </div></article></body>

PYTHON — Building Systems- Python Exercises Summary

The most technologically efficient machine that man has ever invented is the book. — Northrop Frye

Building Systems with Classes in Python: A Summary

Congratulations on completing the Python Basics Exercises on building systems with classes! Throughout the course, you’ve gained a strong understanding of using classes for object-oriented programming in Python. You’ve learned to compose classes together, inherit and override behavior from other classes, and creatively mix and match these approaches. With these skills, you’re now well-equipped to create complex systems and write sleek, Pythonic code.

To further deepen your knowledge, consider exploring the following written tutorials and video courses:

Written Tutorials

  • Inheritance and Composition: A Python OOP Guide
  • Supercharge Your Classes With Python super()
  • Data Classes in Python 3.7+ (Guide)
  • Python’s property(): Add Managed Attributes to Your Classes
  • Providing Multiple Constructors in Your Python Classes

Video Courses

  • Inheritance and Composition: A Python OOP Guide
  • Supercharge Your Classes With Python super()
  • Using Data Classes in Python
  • Managing Attributes With Python’s property()
  • Providing Multiple Constructors in Your Python Classes
  • Getters and Setters in Python
  • Class Concepts: Object-Oriented Programming in Python
  • Inheritance and Internals: Object-Oriented Programming in Python
  • Design and Guidance: Object-Oriented Programming in Python

For additional resources on object-oriented programming, you can explore the Real Python learning path dedicated to mastering the fundamentals of OOP.

To continue your Python learning journey, you may also consider exploring other Python Basics courses available on Real Python. Additionally, obtaining a copy of Python Basics: A Practical Introduction to Python 3 can further enhance your understanding and proficiency in Python.

Sample Code and Course Slides

You can download the sample code and course slides to further reinforce the concepts and techniques covered in the course:

As you progress in your Python programming journey, continue to practice and apply the techniques and principles you’ve learned. Congratulations once again on completing the course, and best of luck as you apply your newfound skills in real-world projects!

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