Conclusion

Overview

In this course, we covered the following topics:

• Data structures
• Functional programming
• Class and its objects
• Operator overloading
• Iterators
• Generators
• Coroutines
• Metaprogramming

Credits

There are two major sources of inspiration behind this course:

• Fluent Python by Luciano Ramalho
• Python Tricks: A Buffet of Awesome Python Features by Dan Bader

What’s next?

Here’s a list of a few courses that you can explore further, depending on your interest in gaining expertise in Python:

• Data science:
  • Predictive Data Analysis with Python
  • Python Data Analysis and Visualization
  • Data Analysis & Processing with Pandas
• Development and engineering:
  • Flask: Develop Web Applications in Python
  • Python for Scientists and Engineers
  • Python Regular Expressions with Data Scraping Projects
• Coding interviews and algorithms:
  • Data Structures and Algorithms in Python
  • Recursion for Coding Interviews in Python
  • Algorithms for Coding Interviews in Python

But that’s not it. There’s much more you can explore at Educative.

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We at Educative hope that this course was a good learning experience for you. Thank you for following it!

Your feedback, comments, concerns, and questions are always welcome. Drop us an email or a comment on the community forum.

We are looking forward to hearing from you! 🙂