Python Data Classes and Structs
Understand and apply Python's modern data structuring tools for cleaner, more efficient code.
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AI instructor
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Start anytime
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In English
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About this course
Are you looking for more structured and efficient ways to represent data in your Python programs beyond basic dictionaries and tuples? This course provides a clear path to mastering Python's built-in tools for data organization.
You will gain the ability to write more readable, maintainable, and efficient Python code by leveraging specialized data structures. Learn to choose the right tool for the job and reduce boilerplate code significantly.
What you'll learn:
* Understand the fundamental concepts of data structuring in Python.
* Implement Python's `dataclasses` for concise object creation.
* Utilize `collections.namedtuple` for immutable data records.
* Explore `struct` module for efficient binary data handling.
* Apply best practices for data representation in modern Python development.
* Practice writing efficient data-handling code through focused exercises.
This course guides you through defining and using various Python data structures, starting with core concepts and progressing to practical application.
This course is designed for beginners with no prior experience required. Start writing better Python data structures today.
What you'll get
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Certificate of completion
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Personal AI tutor
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Audio version included
Learn on the go โ no screen needed -
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Lifetime access
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Phone or computer
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14-day refund
No questions asked -
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Short & focused
2h 54m of practical content
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Frequently asked
What do I need to take this course? +
Just a phone or computer with internet. No installs, no special hardware.
How do I pay? +
By card via Stripe. We donโt store card details โ Stripe handles them securely.
Can I get a refund? +
Yes โ full refund within 14 days, no questions asked.
How long will I have access? +
Forever. Once you purchase, the course is yours to revisit anytime.
Will I get a certificate? +
Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.
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