Python Comprehensions & Generators Made Easy (PyCharm)

CodeOps Technologies — Sat, 11 Jul 2020 07:00:50 +0000

One of the features I love is Live Templates in PyCharm: With it, you can code super fast! They are incredibly useful for speeding up common tasks such as looping over (or generating from) a collection object.

In this brief blog, show how to use them in PyCharm (works for both Community or Professional editions)

Python Comprehensions & Generators 101

Comprehensions and generators can help write concise yet expressive code. Consider this loop:

small_words = []
for word in quip.split(" "):
    if(len(word.upper()) <= 4):
        small_words.append(word.upper())
print(small_words)

This is quite verbose.

Here is how it could be expressed with a list comprehension - which is quite readable as well:

small_words = [word.upper() for word in quip.split(" ") if len(word) <= 4]
print(small_words)

Here are the parts of the comprehension:

That's easy and nice, isn't it!

Live Templates in PyCharm

You can use Live Templates - the template code segments that you can fill - in PyCharm.

Here is the list of live templates. You can access it as PyCharm -> Preferences -> Editor -> Live Templates.

Getting Started - Easy and Simple Live Templates

The live templates main, iter and itere are easy and simple ones to get started with.

In live action in this YouTube Video.

It's repetition made easy!

Templates for List, Set, and Dictionary Comprehensions

This is where the fun begins - let it be list, set or dictionaries, comprehensions are easy with PyCharm. Just start typing comp which stands for 'comprehension'. For list comprehension, type l, so it's compl. For adding an if condition, add an i, so it becomes compli'. Nothingcompli`cated!

So goes comps, compsi, compd and compdi for set and dictionary comprehensions with optional if conditions.

List comprehension

That's how you process lists!

Set comprehension

That's how you deal with sets!

Dictionary comprehension

That's how you deal with dictionaries!

Generator comprehension

Generators create a sequence - we iterate over them one at a time. If you try to print a generator you'll get a generator object (not its content printed!). For example, if small_words is a generator, then print(small_words) will print cryptic reading one like - <generator object <genexpr> at 0x102c1b7c8>. So convert to list, for example, before printing, like print(list(small_words)).

Here is an example.

That's how you deal with generators!

Live Templates to Remember

main - main check
iter / itere - for loop
compl / compli - list comprehension
comps / compsi - set comprehension
compd / compdi - dictionary comprehension
compg / compgi - generators

Have fun playing around with comprehensions and generators in PyCharm. Check out for ~1 min PyCharm Tips & Tricks here.

Have fun coding!

DEV Community: CodeOps Technologies