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🚀 Django 6.1: Loading related data on demand, cascading deletion handled by the database, and a new email configuration. The release was made on August 5th. Three major changes: 1. New Field Loading Modes 📂 FETCH_PEERS retrieves data for related objects from the same QuerySet when accessing an un-loaded field. This helps combat the N+1 problem: from django.db import models books = Book.objects.fetch_mode(models.FETCH_PEERS) for book in books: print(book.author.name) In this example, Django …

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In Python 3.15, a single asterisk replaces nested loops. 🐍✨ Previously, to flatten a list, you would write: rows = [[1, 2], [3], [4, 5]] flat = [x for row in rows for x in row] Now, you can simply use: flat = [*row for row in rows] # [1, 2, 3, 4, 5] A double asterisk merges dictionaries: 📦 configs = [ {"debug": False, "timeout": 10}, {"timeout": 30}, ] config = {**part for part in configs} # {'debug': False, 'timeout': 30} When keys overlap, the last value wins – this is convenient for …

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Python Lists: A Quick Reference 🐍 *   Definition: Lists are ordered, mutable collections that can contain various data types and duplicates. *   Creating Lists: Creating empty, numerical, mixed, nested lists, and lists with duplicates. *   Accessing List Elements: Accessing elements using positive and negative indexing, as well as slicing with start:end:step . *   Common Operations: Adding, inserting, concatenating, deleting, clearing, searching, sorting, and reversing lists. *   List Methods: …

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Using pickletools.dis() to analyze serialized data. 🐍 pickle doesn't just store a snapshot of an object; it stores a sequence of instructions for its subsequent reconstruction. Normally, we only see the result of serialization: import pickle payload = pickle.dumps( {"name": "Alex", "roles": ["admin", "user"]} ) print(len(payload)) The standard library includes pickletools.dis(), which disassembles the pickle stream and shows its instructions in a readable format. import pickletools pickl…