Python Shorter Names

Shorter names in Python can refer to different things, such as variable names, function names, module names, or documentation names. Depending on the context, shorter names may have some advantages or disadvantages.

For variable names, shorter names can save some typing and space, but they can also reduce readability and clarity. For example, x and y may be fine for simple mathematical expressions, but they may not convey much meaning for complex algorithms or data structures. A good practice is to use descriptive and consistent variable names that follow the PEP 8 style guide.

For function names, shorter names can make the code more concise and elegant, but they can also cause confusion or ambiguity if they are not well-defined or documented. For example, len() and sum() are built-in functions that have clear and simple meanings, but func() or do_something() may not be very informative or helpful. A good practice is to use meaningful and consistent function names that follow the PEP 8 style guide.

For module names, shorter names can make the imports easier and faster, but they can also increase the risk of name collisions or conflicts with other modules. For example, math and os are standard modules that have short and common names, but they may clash with user-defined modules that have similar names. A good practice is to use unique and relevant module names that follow the PEP 8 style guide.

For documentation names, shorter names can make the output more compact and neat, but they can also omit important details or context about the code. For example, using autodoc tools like Sphinx or Doxygen can generate documentation from your code comments automatically. However you may want to customize how your module name appears in your documentation by using options like :mod:

One of the biggest features of python is its vast amount of libraries. The problem comes when you have to use them again and again in your program because some of them have bigger and non-English friendly names. Python offers a simpler way to shorten the name of the library with the help of as keywords.

# Normal Way
import numpy
import speech_recognition

# Shorten Name
import numpy as np
import speech_recognition as sr

If you have any questions about this code, you can drop a line in comment.

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