Python Data Science Jobs & Interviews
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Your go-to hub for Python and Data Scienceโ€”featuring questions, answers, quizzes, and interview tips to sharpen your skills and boost your career in the data-driven world.

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Python Question / Quiz;

What is the output of the following Python code, and why? ๐Ÿค”๐Ÿš€ Comment your answers below! ๐Ÿ‘‡

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Python Question / Quiz;

What is the output of the following Python code, and why? ๐Ÿค”๐Ÿš€ Comment your answers below! ๐Ÿ‘‡

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Python Question / Quiz;

What is the output of the following Python code, and why? ๐Ÿค”๐Ÿš€ Comment your answers below! ๐Ÿ‘‡

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Python Question / Quiz;

What is the output of the following Python code, and why? ๐Ÿค”๐Ÿš€ Comment your answers below! ๐Ÿ‘‡

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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? ๐Ÿค”๐Ÿš€ Comment your answers below! ๐Ÿ‘‡

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Python Question / Quiz;

What is the output of the following Python code, and why? ๐Ÿค”๐Ÿš€ Comment your answers below! ๐Ÿ‘‡

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๐Ÿ‘2
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., channels_redis).
- Async consumers: Handle WebSocket events asynchronously without blocking.
- Consumer groups: Broadcast messages to multiple users or rooms.

Hereโ€™s 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 ๐Ÿš€
Hey there, fellow Django devs! Ever faced the dreaded "N+1 query problem" when looping through related objects? ๐Ÿ˜ฑ Your database might be doing way more work than it needs to!

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! โšก๏ธ Happy coding!

#Django #DjangoORM #Python #Optimization #NPlus1 #DatabaseQueries #Performance #WebDev #CodingTip

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By: @DataScienceQ โœจ