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Refactoring existing code effectively is an art. If you have ever inherited someone else’s code or even looked back at your own after some time, you know how trying this process can be. Oftentimes, features are made and bugs get fixed under tight timelines, which can lead to sloppy, inefficient code.
That’s completely fine. You’re allowed to commit some bad code from time to time. What is imperative is that you can identify the bad code and always return to fix it.
In this article, we’re going to look at some small segments of Python code that make refactoring for cleaner code easier. In most cases, these use simple, standard library functions and don’t obfuscate intent behind exceedingly complex algorithms or dense one-liners. When you’re refactoring code, you want a good balance between being concise and readable. Let’s take a look at a few examples.
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In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.
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