Reference library

Comprehensions & generators

List/dict/set comprehensions, generator expressions, and lazy iteration.

3 matches

How to Build a Backpressure Generator Pause Producer Demo in Python

Demonstrates a producer–consumer pattern with a fixed-size buffer that pauses production when full, simulating backpressure.

backpressure producer-consumer deque

Python

import time
import collections

def producer(buffer, max_size, items):
    """Adds items to the buffer until full, then pauses."""
    for item in items:
        while len(buffer) >= max_size:
            print(f"Buffer full ({len(buffer)}/{max_size}) — producer paused")
            time.sleep(0.1)
        buffer.appe…

14 0 Open

Comprehensions & generators easy

How to Generate Cartesian Product Combinations in Python

Use itertools.product to generate every combination across multiple iterables, a pattern common for product variant generation.

itertools cartesian product combinations

Python

from itertools import product

def generate_cartesian_combinations(*iterables):
    """Generate all Cartesian product combinations of given iterables."""
    return list(product(*iterables))

if __name__ == "__main__":
    colors = ["red", "green", "blue"]
    sizes = ["S", "M", "L"]
    styles = ["t-shirt", "hoodie"]…

13 0 Open

Comprehensions & generators easy

Normalize Data in Python with Comprehensions and Generators

Clean a list by dropping None values with a comprehension, then min-max normalize it using a lazy generator expression — a beginner-friendly data preparation pattern.

comprehensions generators normalization

Python

import statistics

# Sample raw data including missing and outlier-ish values
raw = [22, 18, None, 25, 30, 19, 22, 17, None, 28, 24]

# Clean the data: drop None values using a list comprehension
clean = [x for x in raw if x is not None]

# Normalize using min-max scaling with a generator expression
min_val = min(clea…

13 0 Open

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