🚀 Comprehensive Guide: How to Prepare for a Django Job Interview – 400 Most Common Interview Questions
Are you ready to get a job: https://hackmd.io/@husseinsheikho/django-mcq
#DjangoInterview #Python #WebDevelopment #Django #BackendDevelopment #RESTAPI #Database #Security #Scalability #DevOps #InterviewPrep
Are you ready to get a job: https://hackmd.io/@husseinsheikho/django-mcq
#DjangoInterview #Python #WebDevelopment #Django #BackendDevelopment #RESTAPI #Database #Security #Scalability #DevOps #InterviewPrep
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Django REST Framework and Vue versus Django and HTMX
https://testdriven.io/blog/drf-vue-vs-django-htmx/
Learn how the development process varies between working with Django REST Framework and Vue versus #Django and #HTMX.
https://t.me/DataScience4🌟
https://testdriven.io/blog/drf-vue-vs-django-htmx/
Learn how the development process varies between working with Django REST Framework and Vue versus #Django and #HTMX.
https://t.me/DataScience4
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# Django ORM Comparison - Know both frameworks
# Django model (contrast with SQLAlchemy)
from django.db import models
class Department(models.Model):
name = models.CharField(max_length=50)
class Employee(models.Model):
name = models.CharField(max_length=100)
email = models.EmailField(unique=True)
department = models.ForeignKey(Department, on_delete=models.CASCADE)
# Django query (similar but different syntax)
Employee.objects.filter(department__name="HR").select_related('department')
# Async ORM - Modern Python requirement
# Requires SQLAlchemy 1.4+ and asyncpg
from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession
async_engine = create_async_engine(
"postgresql+asyncpg://user:pass@localhost/db",
echo=True,
)
async_session = AsyncSession(async_engine)
async with async_session.begin():
result = await async_session.execute(
select(Employee).where(Employee.name == "Alice")
)
employee = result.scalar_one()
# Testing Strategies - Interview differentiator
from unittest import mock
# Mock database for unit tests
with mock.patch('sqlalchemy.create_engine') as mock_engine:
mock_conn = mock.MagicMock()
mock_engine.return_value.connect.return_value = mock_conn
# Test your ORM-dependent code
create_employee("Test", "test@company.com")
mock_conn.execute.assert_called()
# Production Monitoring - Track slow queries
from sqlalchemy import event
@event.listens_for(engine, "before_cursor_execute")
def before_cursor(conn, cursor, statement, params, context, executemany):
conn.info.setdefault('query_start_time', []).append(time.time())
@event.listens_for(engine, "after_cursor_execute")
def after_cursor(conn, cursor, statement, params, context, executemany):
total = time.time() - conn.info['query_start_time'].pop(-1)
if total > 0.1: # Log slow queries
print(f"SLOW QUERY ({total:.2f}s): {statement}")
# Interview Power Move: Implement caching layer
from functools import lru_cache
class CachedEmployeeRepository(EmployeeRepository):
@lru_cache(maxsize=100)
def get_by_id(self, employee_id):
return super().get_by_id(employee_id)
def invalidate_cache(self, employee_id):
self.get_by_id.cache_clear()
# Reduces database hits by 70% in read-heavy applications
# Pro Tip: Schema versioning in CI/CD pipelines
# Sample .gitlab-ci.yml snippet
deploy_db:
stage: deploy
script:
- alembic upgrade head
- pytest tests/db_tests.py # Verify schema compatibility
only:
- main
# Real-World Case Study: E-commerce inventory system
class Product(Base):
__tablename__ = 'products'
id = Column(Integer, primary_key=True)
sku = Column(String(20), unique=True)
stock = Column(Integer, default=0)
# Atomic stock update (prevents race conditions)
def decrement_stock(self, quantity, session):
result = session.query(Product).filter(
Product.id == self.id,
Product.stock >= quantity
).update({"stock": Product.stock - quantity})
if not result:
raise ValueError("Insufficient stock")
# Usage during checkout
product.decrement_stock(2, session)
By: @DATASCIENCE4 🔒
#Python #ORM #SQLAlchemy #Django #Database #BackendDevelopment #CodingInterview #WebDevelopment #TechJobs #SystemDesign #SoftwareEngineering #DataEngineering #CareerGrowth #APIs #Microservices #DatabaseDesign #TechTips #DeveloperTools #Programming #CareerTips
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• Fetch related
• Fetch related
• Load only specific model fields.
• Defer loading of specific model fields.
• Execute raw, unmanaged SQL.
• Get results as a list of tuples.
XV. Transactions
• Import the transaction module.
• Run a block of code within a database transaction.
XVI. Managers & Model Methods
• Create a custom
• Add a custom method to a
• Add a custom method to a model for object-specific logic.
#Python #Django #ORM #Database #Backend
━━━━━━━━━━━━━━━
By: @DataScience4 ✨
ForeignKey objects in the same query.entries = Entry.objects.select_related('author').all()• Fetch related
ManyToManyField objects in a separate efficient query.entries = Entry.objects.prefetch_related('tags').all()• Load only specific model fields.
entries = Entry.objects.only('headline')• Defer loading of specific model fields.
entries = Entry.objects.defer('body_text')• Execute raw, unmanaged SQL.
authors = Author.objects.raw('SELECT * FROM myapp_author')• Get results as a list of tuples.
Entry.objects.values_list('headline', 'pub_date')XV. Transactions
• Import the transaction module.
from django.db import transaction
• Run a block of code within a database transaction.
with transaction.atomic():
# All database operations here are either committed together or rolled back.
author.save()
entry.save()
XVI. Managers & Model Methods
• Create a custom
Manager for common queries.class PublishedEntryManager(models.Manager):
def get_queryset(self):
return super().get_queryset().filter(status='published')
• Add a custom method to a
QuerySet via its Manager.Entry.objects.get_queryset().by_author("John Doe")• Add a custom method to a model for object-specific logic.
class Entry(models.Model):
#...
def is_recent(self):
return self.pub_date > timezone.now() - timedelta(days=1)
#Python #Django #ORM #Database #Backend
━━━━━━━━━━━━━━━
By: @DataScience4 ✨
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Forwarded from Machine Learning with Python
A huge cheat sheet for Python, Django, Plotly, Matplotlib, P.pdf
741 KB
Many topics are covered inside:
https://t.me/CodeProgrammer
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