Python Built-in Functions: dir()

Alright ! Today we’re gonna talk about one of the most underrated functions in all of Python `dir()`. This function is like a secret weapon for any programmer out there who wants to know what they can do with their code. It’s basically a list of all the built-in functions, variables, and classes that are available in Python.

Now, you might be thinking “Who needs this? I already know everything about Python!” Well, let me tell ya something even if you think you know it all, there’s always room for improvement. And `dir()` can help you with that!

Here’s how to use it: just type `dir()` in your console or script and hit enter. That’s it! You’ll see a list of all the cool stuff Python has to offer, like `abs`, `all`, `any`, `bool`, `breakpoint`, `callable`, `chr`, `classmethod`, `compile`, `complex`, `continue`, `def`, `delattr`, `dict`, `dir`, `divmod`, `enumerate`, and so on.

If you want to see the list of built-in functions that are available in a specific module or package, just add it as an argument after `dir()`. For example: `dir(math)` will show you all the math functions like `cos`, `sin`, and `tan`.

Now, some of the lesser-known features of this function. Did you know that you can use `dir()` to check if a variable or attribute exists in your code? Just add it as an argument after `dir()` like so: `if ‘x’ in dir(): print(‘X is defined’)`.

Another cool feature is that you can use `dir()` to see the attributes of an object. For example, if you have a list called `my_list`, you can check its attributes by typing `dir(my_list)`. This will show you all the methods and properties available for lists in Python.

Now Python development. The Python community uses the PEP process to propose major new features, collect input from other developers, and document design decisions. This helps ensure that changes are thoroughly discussed before being implemented in the language. Additionally, there is a coding style guide called PEP 8 which provides guidelines for writing clean and readable code.

Python’s development is conducted largely through this process, with outstanding proposals reviewed by the Python community and steering council. This helps ensure that changes are thoroughly discussed before being implemented in the language.

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