Mastering Python List Comprehensions: A Complete Guide
Stop writing loop blocks. Learn how to write cleaner, more Pythonic code using list comprehensions for filtering and mapping data.
A collection of technical snippets, algorithms, and developer resources. Optimized for copy-paste efficiency.
Stop writing loop blocks. Learn how to write cleaner, more Pythonic code using list comprehensions for filtering and mapping data.
Callback hell is dead. Promises are good, but Async/Await is better. Learn how to handle asynchronous operations gracefully in 2025.
Binary search is the cornerstone of efficient searching. Understand O(log n) complexity and how to implement it correctly without bugs.
Confused about whether to use Grid or Flexbox? Here is a simple rule of thumb: Flexbox for one dimension, Grid for two dimensions.
Stop memorizing everything. Here is a curated list of Git commands that you will actually use in your daily workflow.
def binary_search(arr, target):
left, right = 0, len(arr) - 1
while left <= right:
mid = (left + right) // 2
if arr[mid] == target:
return mid
elif arr[mid] < target:
left = mid + 1
else:
right = mid - 1
return -1