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In this tutorial, we will discuss how to rotate an image by using the Python program. It is very easy to rotate an image by Python code Prerequisite: Install pillow library, to install run the following command: pip install pillow Import the Image  PIL(Python Imaging Library) import module we can solve the program from PIL …

PYTHON PROGRAM TO ROTATE AN IMAGE Read More »

In this tutorial, we will discuss how to get the height and width of an image by using a Python program. It is very easy to find the width and height of an image. Prerequisite: Install pillow library, to install run the following command: pip install pillow Import the Image class from the PIL (Python …

GET HEIGHT AND WIDTH OF AN IMAGE IN PYTHON Read More »

In JavaScript, `\“use strict\“` is a command that turns on strict mode, an option to use a more limited version of JavaScript. It was added to ECMAScript 5 and is intended to make JavaScript perform better and to check for errors more thoroughly by requiring stricter parsing and error checking. When you implement strict mode, some actions normally permitted in non-strict mode will cause exceptions. This will allow developers to identify frequent mistakes and block potentially problematic features from being used. Some of the most important elements of strict mode are: Features of strict mode: 1. Prevents the use of undeclared variables: In non-strict mode, assigning a value to an undeclared variable creates …

Use strict in JavaScript Read More »

Deque from collections import deque def sliding_window_max(nums, k): dq = deque() # Stores indices result = [] for i, num in enumerate(nums): # Remove elements not in sliding window if dq and dq[0] < i – k + 1: dq.popleft() # Remove smaller elements (they won’t be needed) while dq and nums[dq[-1]] < num: dq.pop() …

Optimizing Python Data Structures: When to Use deque, defaultdict, and Counter Read More »

import time import threading import multiprocessing def cpu_task(n): total = 0 for _ in range(n): total += 1 return total N = 10**7 # Large computation # Using threads (affected by GIL) start = time.time() threads = [threading.Thread(target=cpu_task, args=(N,)) for _ in range(4)] for t in threads: t.start() for t in threads: t.join() print(f”Threads Time: …

Understanding the Global Interpreter Lock (GIL) and How to Bypass It Read More »

# Fibonacci sequence with memoization def fibonacci(n, memo={}): if n in memo: return memo[n] if n <= 2: return 1 memo[n] = fibonacci(n – 1, memo) + fibonacci(n – 2, memo) return memo[n] # Test the Fibonacci function def main(): n = 10000 # Increase this value for testing print(fibonacci(n)) if __name__ == “__main__”: main()

# Create a bytearray with some data data = bytearray(b”Hello, World!”) # Create a memoryview on the bytearray view = memoryview(data) # Access the data directly using the memoryview (no copying) print(“Original data:”, view.tobytes()) # Print original data as bytes # Modify the data through the memoryview view[7:12] = b”Python” # Check how the changes …

Zero-Copy Data Processing in Python with memoryview Read More »

import numpy as np # Create a mutable byte buffer buf = bytearray(100) # Create a memoryview mv = memoryview(buf) # Convert it to a NumPy array (zero-copy) arr = np.frombuffer(mv, dtype=np.uint8) print(arr.shape) # Output: (100,)

1. Memory-Mapping a File for Reading import mmap # Open file in read mode with open(“large_file.txt”, “r”) as f: # Memory-map the file (read-only mode) with mmap.mmap(f.fileno(), 0, access=mmap.ACCESS_READ) as mm: # Read contents as bytes print(mm[:100]) # Read first 100 bytes print(mm.find(b”search_term”)) # Find a term 2.Memory-Mapping a File for Writing import mmap # …

How to Use mmap for Fast File I/O Operations in Python Read More »