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How to Validate Data with ThreadPoolExecutor in Python
This code shows how to validate a list of numbers concurrently using ThreadPoolExecutor, dramatically speeding up slow validation tasks by running them in parallel threads.
import time
from concurrent.futures import ThreadPoolExecutor
from dataclasses import dataclass
@dataclass
class Result:
is_valid: bool
value: int
def validate(value: int) -> Result:
time.sleep(0.1) # simulate slow validation (API call, DB check)
return Result(is_valid=0 < value < 100, value=value…
Generate Fake User Data with Faker in Python
Use the Faker library to generate realistic fake user profiles with names, emails, phone numbers, and addresses for tests or demos.
from faker import Faker
fake = Faker()
def generate_user():
return {
"name": fake.name(),
"email": fake.email(),
"phone": fake.phone_number(),
"address": fake.address().replace("\n", ", "),
}
if __name__ == "__main__":
user = generate_user()
for key, value in user.ite…
How to Compare Floats in pytest with approx
Uses pytest.approx to compare floating-point numbers with tolerance, avoiding precision issues.
import pytest
def test_float_addition():
result = 0.1 + 0.2
expected = 0.3
assert result == pytest.approx(expected)
How to Test Hypotheses with Property-Based Check in Python
A Python search that checks an integer property (palindrome divisible by digit sum) and returns the first counterexample within a range, with exactly reproduced output from the code.
def is_property_satisfied(n):
"""
Demonstrates a mathematically inspired property:
checks whether n is both a palindrome and divisible by its digit sum.
"""
s = str(n)
if s != s[::-1]:
return False
digit_sum = sum(int(d) for d in s)
return digit_sum != 0 and n % digit_sum == 0
…
How to Implement a Priority Queue for Messages in Python
Build a message priority queue with heapq and dataclasses that pops messages by priority, using sequence numbers to keep insertion order.
import heapq
from dataclasses import dataclass, field
from typing import Any
@dataclass(order=True)
class Message:
priority: int
sequence: int = field(compare=False)
content: str = field(compare=False)
class PriorityQueue:
def __init__(self):
self._heap = []
def push(self, priority: int,…
How to Simulate a Micro-Batch Interval Trigger in Python
A dataclass-based mock that emits batch numbers at fixed intervals, mimicking a micro-batch streaming scheduler for testing and development.
import time
from dataclasses import dataclass, field
from typing import List, Callable
@dataclass
class MicroBatchTriggerMock:
batch_interval_seconds: float = 0.5
max_batches: int = 5
_batches_emitted: int = 0
_next_emit_time: float = field(init=False, default=0)
def start(self, on_batch: Callab…
Sliding Window Average with Deque in Python
Computes the running average of a sliding window over streaming numbers using a collections.deque for O(1) pop-left operations.
from collections import deque
class SlidingAverage:
def __init__(self, window_size):
self.window_size = window_size
self.window = deque()
self.total = 0
def add(self, value):
self.window.append(value)
self.total += value
if len(self.window) > self.window_size:
…
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Samples vs tutorials and challenges
Samples are quick reference — one concept per page. For step-by-step teaching, use our Python tutorials. To test yourself, try quizzes or coding challenges. Clean up style with the Python formatter.