Download Writing Idiomatic Python 3 by Jeff Knupp PDF

By Jeff Knupp

ISBN-10: 1482374811

ISBN-13: 9781482374810

Write. Idiomatic. Code.

Get pythonic from the beginning: concise consultant to idiomatic code; top after one other textual content, yet fits a few courageous beginners.

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Extra resources for Writing Idiomatic Python 3

Example text

If, however, the file system itself were unavailable, raising an exception makes sense. Because (in other languages) deciding when to raise an exception is partly a matter of taste (and thus experience), novices tend to overuse them. This overuse of exceptions leads to a number of problems: the control flow of a program is more difficult to follow, they create a burden on calling code when allowed to propagate up a call chain, and in many languages they impose a stiff performance penalty. These facts have led to a general vilification of exceptions.

Exit in your script to return proper error codes”. These statements are omitted in code samples for brevity. 1 Chain comparisons to make if statements more concise When using if statements, make sure you’re making the most out of the fact that comparisons can be chained arbitrarily. It both makes the statements more concise and can have a positive effect on performance. 2 Avoid placing conditional branch code on the same line as the colon Using indentation to indicate scope (like you already do everywhere else in Python) makes it easy to determine what will be executed as part of a conditional statement.

In most cases, you simply pass what you want printed as the sole argument. Sometimes, though, you’d like to change the character used as the separator between values, which you can do by setting the sep keyword argument to something other than ` `. This is easily accomplished through the use of keyword arguments. keywords arguments are distinguished from “normal” arguments by the presence of an = and a default value. In the case of print, the definition of the function would have a signature similar to the following: def print(*values, sep=' ').

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