Python Question / Quiz;
What is the output of the following Python code, and why? ๐ค๐ Comment your answers below! ๐
What is the output of the following Python code, and why? ๐ค๐ Comment your answers below! ๐
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Python Question / Quiz;
What is the output of the following Python code, and why? ๐ค๐ Comment your answers below! ๐
What is the output of the following Python code, and why? ๐ค๐ Comment your answers below! ๐
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Python Question / Quiz;
What is the output of the following Python code, and why? ๐ค๐ Comment your answers below! ๐
What is the output of the following Python code, and why? ๐ค๐ Comment your answers below! ๐
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Python Question / Quiz;
What is the output of the following Python code, and why? ๐ค๐ Comment your answers below! ๐
What is the output of the following Python code, and why? ๐ค๐ Comment your answers below! ๐
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What will be the output of the following code?
import numpy as np
numbers = np.array([1, 2, 3])
new_numbers = numbers + 1
print(new_numbers.tolist())
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Python Question / Quiz;
What is the output of the following Python code, and why? ๐ค๐ Comment your answers below! ๐
What is the output of the following Python code, and why? ๐ค๐ Comment your answers below! ๐
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Python Question / Quiz;
What is the output of the following Python code, and why? ๐ค๐ Comment your answers below! ๐
What is the output of the following Python code, and why? ๐ค๐ Comment your answers below! ๐
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๐2
Q: How can you implement a real-time, event-driven architecture in Django using WebSockets and Django Channels for high-concurrency applications? Provide a detailed code example.
Django Channels enables asynchronous communication via WebSockets, allowing real-time features like live updates, chat, or notifications. For high-concurrency systems, we combine Channels, Redis as a message broker, and async views to handle thousands of concurrent connections efficiently.
Key components:
- Django Channels: Extends Django to support WebSockets, HTTP/2, and other protocols.
- Redis: Used as a backend for channel layers (e.g.,
- Async consumers: Handle WebSocket events asynchronously without blocking.
- Consumer groups: Broadcast messages to multiple users or rooms.
Hereโs a complete implementation:
This setup supports:
- Real-time messaging across users.
- Scalable architecture with Redis.
- Asynchronous processing without blocking Django's main thread.
Use with
#Django #DjangoChannels #WebSockets #RealTime #AsyncProgramming #HighConcurrency #Python #BackendDevelopment #EventDriven #WebDev #AdvancedDjango
By: @DataScienceQ ๐
Django Channels enables asynchronous communication via WebSockets, allowing real-time features like live updates, chat, or notifications. For high-concurrency systems, we combine Channels, Redis as a message broker, and async views to handle thousands of concurrent connections efficiently.
Key components:
- Django Channels: Extends Django to support WebSockets, HTTP/2, and other protocols.
- Redis: Used as a backend for channel layers (e.g.,
channels_redis).- Async consumers: Handle WebSocket events asynchronously without blocking.
- Consumer groups: Broadcast messages to multiple users or rooms.
Hereโs a complete implementation:
# settings.py
INSTALLED_APPS = [
# ... your apps
'channels',
]
CHANNEL_LAYERS = {
'default': {
'BACKEND': 'channels.layers.RedisChannelLayer',
'CONFIG': {
"hosts": [('127.0.0.1', 6379)],
},
},
}
ASGI_APPLICATION = 'myproject.asgi.application'
# consumers.py
import json
from channels.generic.websocket import AsyncWebsocketConsumer
from channels.layers import get_channel_layer
class ChatConsumer(AsyncWebsocketConsumer):
async def connect(self):
self.room_name = self.scope['url_route']['kwargs']['room_name']
self.room_group_name = f'chat_{self.room_name}'
# Join room group
await self.channel_layer.group_add(
self.room_group_name,
self.channel_name
)
await self.accept()
async def disconnect(self, close_code):
# Leave room group
await self.channel_layer.group_discard(
self.room_group_name,
self.channel_name
)
# Receive message from WebSocket
async def receive(self, text_data):
text_data_json = json.loads(text_data)
message = text_data_json['message']
# Send message to room group
await self.channel_layer.group_send(
self.room_group_name,
{
'type': 'chat_message',
'message': message
}
)
# Receive message from room group
async def chat_message(self, event):
message = event['message']
# Send message to WebSocket
await self.send(text_data=json.dumps({
'message': message
}))
# routing.py
from django.urls import path
from channels.routing import ProtocolTypeRouter, URLRouter
from . import consumers
application = ProtocolTypeRouter({
'websocket': URLRouter([
path('ws/chat/<str:room_name>/', consumers.ChatConsumer.as_asgi()),
]),
})
# views.py (optional: trigger broadcast)
from channels.layers import get_channel_layer
from asgiref.sync import async_to_sync
def broadcast_message(room_name, message):
channel_layer = get_channel_layer()
async_to_sync(channel_layer.group_send)(
f'chat_{room_name}',
{
'type': 'chat_message',
'message': message
}
)
This setup supports:
- Real-time messaging across users.
- Scalable architecture with Redis.
- Asynchronous processing without blocking Django's main thread.
Use with
daphne myproject.asgi:application to run.#Django #DjangoChannels #WebSockets #RealTime #AsyncProgramming #HighConcurrency #Python #BackendDevelopment #EventDriven #WebDev #AdvancedDjango
By: @DataScienceQ ๐
Hey there, fellow Django devs! Ever faced the dreaded "N+1 query problem" when looping through related objects? ๐ฑ Your database might be doing way more work than it needs to!
Let's conquer it with
Example 1: Fetching Posts and their Comments
Imagine a blog where each
Example 2: Prefetching with Custom QuerySets
What if you only want to prefetch approved comments, or order them specifically? You can apply filters and ordering within
Example 3: Nested Prefetching
You can even prefetch related objects of related objects! Let's get posts, their comments, and each comment's author.
Master
#Django #DjangoORM #Python #Optimization #NPlus1 #DatabaseQueries #Performance #WebDev #CodingTip
---
By: @DataScienceQ โจ
Let's conquer it with
prefetch_related()! While select_related() works for one-to-one and foreign key relationships (joining tables directly in SQL), prefetch_related() is your go-to for many-to-many relationships and reverse foreign key lookups (like getting all comments for a post). It performs a separate query for each related set and joins them in Python, saving you tons of database hits and speeding up your app.Example 1: Fetching Posts and their Comments
Imagine a blog where each
Post has many Comments. Without prefetch_related, accessing post.comments.all() inside a loop for multiple posts would hit the database for each post's comments.from your_app.models import Post, Comment # Assuming your models are here
Bad: This would cause N+1 queries if you loop and access comments
posts = Post.objects.all()
for post in posts:
for comment in post.comment_set.all(): # database hit for EACH post
print(comment.text)
Good: Fetches all posts AND all comments in just 2 queries!
posts_with_comments = Post.objects.prefetch_related('comment_set')
for post in posts_with_comments:
print(f"Post: {post.title}")
for comment in post.comment_set.all(): # 'comment_set' is the default related_name
print(f" - {comment.text}")
Example 2: Prefetching with Custom QuerySets
What if you only want to prefetch approved comments, or order them specifically? You can apply filters and ordering within
prefetch_related() using Prefetch objects!from django.db.models import Prefetch
from your_app.models import Post, Comment # Assuming Comment has 'is_approved' and 'created_at'
Define a custom queryset for only approved comments, ordered by creation
approved_comments_queryset = Comment.objects.filter(is_approved=True).order_by('-created_at')
Fetch posts and only their approved comments, storing them in a custom attribute
posts_with_approved_comments = Post.objects.prefetch_related(
Prefetch('comment_set', queryset=approved_comments_queryset, to_attr='approved_comments')
)
for post in posts_with_approved_comments:
print(f"Post: {post.title}")
# Access them via the custom attribute 'approved_comments'
for comment in post.approved_comments:
print(f" - (Approved) {comment.text}")
Example 3: Nested Prefetching
You can even prefetch related objects of related objects! Let's get posts, their comments, and each comment's author.
from your_app.models import Post, Comment # Assuming Comment has a ForeignKey to an Author model
posts_with_nested_relations = Post.objects.prefetch_related(
# Here, we prefetch comments, and within the comments prefetch their authors
Prefetch('comment_set', queryset=Comment.objects.select_related('author'))
)
for post in posts_with_nested_relations:
print(f"\nPost: {post.title}")
for comment in post.comment_set.all():
print(f" - {comment.text} by {comment.author.name}") # Access comment.author directly!
Master
prefetch_related() to make your Django apps lightning fast! โก๏ธ Happy coding!#Django #DjangoORM #Python #Optimization #NPlus1 #DatabaseQueries #Performance #WebDev #CodingTip
---
By: @DataScienceQ โจ