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Mastering Advanced Python Built-ins
In the first part of this series (here), we explored foundational built-in functions like zip
, enumerate
, partial
, all
, any
, and filter
—tools that make your Python code more efficient and elegant. These functions are essential for pairing iterables, adding indices, preconfiguring logic, and refining collections with ease.
Now, in this second part, we’ll build on that knowledge by diving into five advanced built-ins. You’ll learn how to transform iterables with map
, condense them with reduce
, and interact dynamically with object attributes using getattr
and setattr
. We’ll also cover precise type checking with isinstance
and issubclass
, and how to take fine-grained control of iteration using next
.
By the end of this article, you’ll see how these tools integrate seamlessly with the ones we covered in part one, unlocking even greater potential for writing Pythonic, high-quality code. Let’s continue our journey through Python’s hidden gems!
You can find the code used in this post below 👇