NOTIFICATION TO PHONE OR DESKTOP WITH PYTHON LANGUAGE

Send push notifications to your phone or desktop using Python

In the realm of software development, the necessity to monitor and receive real-time notifications for critical events is paramount. Palzin Track offers a straightforward solution for event tracking and instant notifications, accessible across multiple devices, including Desktop, Phone, and SmartWatch.

Our API simplifies the process of seamlessly integrating Palzin Track into your Python codebase. With just an HTTP request and the inclusion of any supplementary information you desire, we handle the rest, ensuring a hassle-free setup.

Getting Palzin Track up and running within your Python project is a breeze. You can easily incorporate our provided code snippets without the need for custom modules, streamlining the integration process.

Set up your Palzin Track account

1. Head to Palzin Track.com and create your free account.
2. Create a new project from your dashboard.
3. Copy your API token from the API settings.

Log your events via Python

1. Copy one of the following code snippets into your text editor
2. Replace your API token, project name, and channel name.
3. Run your Python code!

Python snippets for Palzin Track

Send notifications using Python and http.client

import http.client  


import json  


conn = http.client.HTTPSConnection("palzin.live")  


payload = json.dumps({  


 "project": "my-project",  


 "channel": "waitlist",  


 "event": "Waitlist Member",  


 "description": "email: [email protected]",  


 "icon": "🔥",  


 "notify": True  


})  


headers = {  


 'Content-Type': 'application/json',  


 'Authorization': 'Bearer YOUR_API_TOKEN'  


}  


conn.request("POST", "/api/v1/log", payload, headers)  


res = conn.getresponse()  


data = res.read()  


print(data.decode("utf-8"))

Send notifications using Python and Requests

import requests  


import json  


url = "https://api.palzin.live/v1/log"  


payload = json.dumps({  


 "project": "my-project",  


 "channel": "waitlist",  


 "event": "Waitlist Member",  


 "description": "email: [email protected]",  


 "icon": "🔥",  


 "notify": True  


})  


headers = {  


 'Content-Type': 'application/json',  


 'Authorization': 'Bearer YOUR_API_TOKEN'  


}  


response = requests.request("POST", url, headers=headers, data=payload)  


print(response.text)

Conclusion

Once an event is published, you get instant updates in real-time, and you could optionally turn on or off push notifications depending on the priority of your event.

Also, Palzin Track makes it very easy to organize your events into different projects and channels depending on their topic and provides you with a global and project-wide feed so you can scroll through your events.

In addition, with our collaborative features, you can add team members to a project so that everyone can receive push notifications and updates, regardless of the desktop or mobile platform they are using.

You can learn more about our API by heading to docs.palzin.live

Other use-cases for Palzin Track

1. Monitor your CI/CD build status for your Python application
2. Monitor your CPU usage in your Python application
3. Monitor when database goes down in your Python application
4. Monitor high disk usage in your Python application
5. Monitor when a user changes their email address in your Python application
6. Monitor failed logins in your Python application
7. Monitor failed payments for your Python application
8. Monitor memory usage in your Python application
9. Monitor MySQL downtime in your Python application
10. Monitor when a new feature is used in your Python application
11. Monitor your Postgres downtime in your Python application
12. Monitor Redis downtime in your Python application
13. Monitor suspicious activity in your Python application
14. Monitor when a user exceeds the usage limit for your Python service
15. Monitor when a user is being rate limited in your Python application
16. Get a notification when your Python code is done executing
17. Track canceled subscriptions in your Python application
18. Track your Python cron jobs
19. Track when a file is uploaded to your Python application
20. Track when a form is submitted to your Python application
21. Track payment events via Python
22. Track user sign in events in Python
23. Monitor user signup events via Python
24. Track waitlist signup events via Python