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Illustration of a Python list being converted into a single iterator block by the iter() built-in, with a one-way arrow showing single-pass iteration.
Python

Python iter(): How the Built-in Function Works

Illustration of Python pika connecting to RabbitMQ with queues, exchanges, and routing keys, emphasizing message acknowledgement flow.
Python

Python Pika: Queues, Exchanges, Routing Keys, and Acknowledgements

Comparison of two Python Kafka client libraries with code snippets and a scale icon.
Python

Python Kafka: kafka-python vs Confluent Client

Illustration of Kafka partition offsets and manual commit flow in a Python consumer
Python

Python Kafka Offsets, Partitions, and Manual Commits

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Latest Python Posts

Diagram showing Celery task queue connecting FastAPI and Django applications to a worker and result backend.
Python

Using Python Celery with FastAPI and Django

Integrate Celery with FastAPI and Django: configure a shared Celery app, define reusable tasks, call tasks from views and endpoints, and handle results, errors, and monitoring.

CeleryFastAPIDjangoBackground Tasks
Illustration of a Celery worker applying a rate limit to a queue of tasks, with a token bucket controlling task execution.
Python

Python Celery Rate Limits: Syntax and Worker Behavior

Configure Python Celery rate limits on tasks, read the rate-limit string syntax, and understand how each worker instance enforces limits.

CeleryRate LimitingTask QueuesWorker Configuration
Illustration of Celery workflow primitives: a chain of tasks, a group of parallel tasks, and a chord combining them with a callback.
Python

Python Celery Chains, Groups, and Chords Explained

python celery chains groups and chords: Learn how to compose Celery tasks into sequential chains, parallel groups, and chords that trigger callbacks after parallel wor...

CeleryTask OrchestrationDistributed TasksWorkflow Composition
A diagram showing a Celery Beat scheduler sending periodic task messages to a broker, which workers consume.
Python

Python Celery Beat and Periodic Tasks

Set up Celery Beat for periodic tasks in Python: interval and crontab schedules, timezone and duplicate-execution pitfalls, and running the scheduler reliably.

CeleryTask SchedulingPeriodic TasksPython
Diagram showing Celery task state transitions between pending, started, retry, success, and failure states.
Python

Python Celery Retries, Timeouts, and Task Status

Learn how Python Celery retries, timeouts, and task status interact, and how to configure them for reliable background job pipelines.

CeleryTask QueuesRetry LogicTimeouts
Diagram showing Celery workers connected to RabbitMQ as a broker and Redis as a result backend.
Python

Python Celery: Redis and RabbitMQ Brokers, Result Backends

Configure Python Celery with Redis and RabbitMQ as brokers and result backends. Compare delivery guarantees, visibility timeouts, and failure modes.

CeleryRabbitMQRedisTask Queues
Diagram comparing Celery delay and apply_async methods for task scheduling
Python

Python Celery Tasks: delay vs apply_async

Understand the difference between Celery's delay and apply_async methods, how to pass execution options, and when to use each for reliable async task execution.

CeleryTask QueueAsyncPython
A diagram showing Gunicorn workers handling requests behind a reverse proxy.
Python

Python Gunicorn Production Configuration

A practical guide to configuring Gunicorn for production Python applications: worker types, worker count, timeouts, logging, reverse proxies, and graceful shutdown.

gunicornproductionwsgideployment
Diagram showing Gunicorn as a process manager delegating ASGI requests to Uvicorn workers.
Python

Running Python Gunicorn with Uvicorn Workers

Run FastAPI and other ASGI apps with Gunicorn and Uvicorn workers. This guide covers worker class setup, concurrency, timeouts, and production pitfalls.

GunicornUvicornASGIFastAPI
Diagram of Gunicorn worker processes with a clock for timeout and log files for logging.
Python

Configuring Python Gunicorn Workers, Timeout, and Logging

python gunicorn workers timeout and logging: Learn how to configure Gunicorn worker count, timeout, and logging for Python web apps, including access and error logs fo...

gunicornpythontimeoutlogging