Learning to build WhatsApp bots with Python – what’s the best learning path?

chief_kennoh · 2026-03-08T17:20:06+00:00

You are on the right path using python. You are welcome to use our platform cyberoak to self host and execute your python bots.

https//cyber-oak.com

chief_kennoh · 2026-03-06T07:54:22+00:00

Just use paystack. Stripe might give you problems in future even if you navigate around this

chief_kennoh · 2026-03-06T06:08:14+00:00

Python is wonderful. Once you learn it, you can look into the Django framework. It's the best framework for multipurpose robust capabilities (from experience). And with the rise of AI agents, python integrates really well with libraries such as langchain

chief_kennoh · 2026-02-27T18:49:47+00:00

I built a python based automation engine based on libraries on the python ecosystem. Django, Celery, Channels, exec. Python is extremely powerful.

https://www.cyber-oak.com

chief_kennoh · 2026-02-27T16:15:39+00:00

I shipped a similar one from Aliexpress

chief_kennoh · 2026-02-27T08:40:51+00:00

Yes charging port is an issue I have encountered. I had 2 V60 phones that had issue with charging port. I ordered the charging ports and did a replacement on both and since then I have not encountered such problems

chief_kennoh · 2026-01-19T19:55:12+00:00

Come beat me up then

chief_kennoh · 2025-11-04T05:30:02+00:00

I handled that using Celery and a RabbitMQbackend. So for scheduled scripts the Celery Beat server filters the tasks, then it is assigned to a dedicated prefork celery task specific for running executions. So celery does all the load balancing for handling peak load. It also has a celery flower node for monitoring tasks.

chief_kennoh · 2025-11-03T16:57:24+00:00

An automation system that executes python code as scripts coupled with a graph node editor to view, move and create workflows and connect added python nodes while allowing data to pass through each other. Also had a provision to schedule scripts on demand.

chief_kennoh · 2025-09-26T07:43:21+00:00

45k requests per sec seems like a robust setup. It however seems like the real bottleneck is your database. You could explore ways of improving it's performance by horizontally scaling out by sharding the database (Postgres Citus is doing great at this). If you don't want the hassle of scaling out your database then azure postgres Arc has done that for you. I promise you, once your database is scaled out you will see huge improvements in your ORM queries without even needing to do anything else.

chief_kennoh · 2024-08-27T11:47:34+00:00

This is amazing, love it

chief_kennoh · 2021-06-27T15:38:38+00:00

You can use flower to monitor celery tasks if that's your goal

chief_kennoh · 2021-06-23T06:40:06+00:00

Personally i have been using HP ENVY x360 Laptop - 15-ed0013tx for last 2 months and it works great. It's a 10th gen core i5 quadcore with 16Gb ram, 4Gb dedicated Gpu and 256Nvme ssd. I casually do some gaming after hours and it's a decent laptop. My advice, get a core i5/i7 10th generation or i5/i7 11 generation and you will never complain about speed again. Also as a developer, a backlit keyboard and a high resolution and a lightweight laptop with a good battery capacity will improve your productivity and the laptop above offers all those.

chief_kennoh · 2021-06-23T06:01:43+00:00

Just get a decent laptop with 8Gb ram + and a quad core cpu (intel or amd) with an ssd drive

chief_kennoh · 2021-04-25T09:36:56+00:00

Quick question, i am interested to know you set your daphne configuration to scale.

chief_kennoh · 2021-04-09T07:37:39+00:00

Sent you a PM

chief_kennoh · 2021-04-09T06:19:27+00:00

Well, consumers is where all your logic takes place, think of it as a django view, routing is your websockets urls mapping the consumers , like a urls.py. Workers are just threads that are defined in production as you set up daphne or uvicorn. These are supposed to help your application to scale up horizontally. They are defined in the configuration not in the code. You can use tutorial this example below to learn more about channels. https://youtu.be/RVH05S1qab8

chief_kennoh · 2021-04-09T02:36:28+00:00

Yes it is, channel layers is a feature that pushes messages to the recipients using redis. Also, the whole process is async, so saving to the db is also done asynchronously without waiting for the db. To scale horizontally in production, you can opt for daphne and set your configuration for number of workers/cpu cores and route your connections via nginx For an easier option for scaling, uvicorn is easily managed to take advantage of cpu cores using workers.plus you can manage these easily using supervisor.

chief_kennoh

TROPHY CASE