A quick guide on how to use celery to accomplish async task in application.
A simple web stack using flask, nginx, gunicorn and supervisor in python with minimum configuration. This is useful if you want to QUICKLY setup a simple but production ready web service.
A list of commands to do a quick migration for redis.
Flask has an “app.logger” which you can use for webapp related logging, and for other libraries or packages that flask app is using usually python standard logging is used. There are issues reported that logs from various sources in flask based app sometimes get missed out or get messy. See the references section at the bottom for details about the issues. A workaround is to set global root logging config and override that from flask.
Frequently used docker commands and examples of Dockerfile.
Huey is a little task queue that supports:
- multi-process, multi-thread or greenlet task execution models
- schedule tasks to execute at a given time, or after a given delay
- schedule recurring tasks, like a crontab
- automatically retry tasks that fail
- task result storage
- consumer publishes event stream, allowing high-fidelity monitoring
Python multiprocssing is useful in executing concurrent tasks with multiple processes. But it also requires the objects being executed support pickling, which is not always true for types like class instance methods, staticmethods and etc. Pathos has a multiprocessing implementation that uses dill on the backend which supports serializing and deserializing for almost all types.
Generate n*n two dimensional arrays with serial numbers in python.
How to use CASE statement in sql select statement to deal with if-then-else logic.
How to insert a new object into mongodb using pymongo with reference to other objects using DBRef.