04, Jul 2023

MONITOR EMAIL ADDRESS CHANGE WITH PYTHON LANGUAGE

Palzin Track Python Use Cases

Monitor when a user changes their email address in your Python application

When developing a Python application for user service, it becomes necessary to store user email addresses within your database for a variety of purposes. These include sending welcome emails upon user sign-up, facilitating password reset emails when requested, or notifying users when they're mentioned in comments. Moreover, email addresses are commonly utilized for user authentication and authorization.

In many instances, users may wish to change their email addresses while using your application, driven by reasons like mistyped addresses during sign-up or personal email updates. In any case, it is vital to implement email address change tracking within your Python application to stay continuously informed about such modifications and ensure your database remains up-to-date.

Fortunately, Palzin Track offers a robust solution to tackle this challenge. Palzin Track serves as a potent, real-time event tracking tool seamlessly compatible with a wide range of Python applications. It simplifies the process of tracking significant events within your Python application, allowing you to monitor user activities, their journeys, and more.

One prominent use case for Palzin Track involves the real-time event tracking of user email address changes in your Python application. Additionally, you can choose to configure notification rules to alert you and your team when users modify their email addresses in your Python application.

Furthermore, Palzin Track enables you to monitor user journeys and create a timeline that chronicles their actions, including email address history and other activities conducted within your application. This capability empowers you to maintain a constant watch over individual user activities, such as email address updates and other interactions occurring within your application.

Connect Palzin Track to Python


Setting up Palzin Track

  1. Sign up for a free Palzin Track account.
  2. Create your first project from the dashboard.
  3. Head to settings and copy your API token.

Python code snippets

Use the following code snippet to track when a user changes their email address in your Python application. All you need to do is to replace the YOUR_API_TOKEN with your Palzin Track API token and update the project name to your project name.

Using Python with http.client


import http.client  


import json  


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


payload = json.dumps({  


 "project": "my-project",  


 "channel": "profile",  


 "event": "Updated Email Address",  


 "description": "User updated their email address to [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"))

Using Python with Requests


import requests  


import json  


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


payload = json.dumps({  


 "project": "my-project",  


 "channel": "profile",  


 "event": "Updated Email Address",  


 "description": "User updated their email address to [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)

Python integration details

Palzin Track provides a set of powerful features such as cross-platform push notifications, event filtering, user and product journeys, charts, insights, and more. In addition, Palzin Track is flexible and easy to use, making it a great companion for your Python applications.

Palzin Track provides a generous free plan to get you started with event tracking. You can also check out our pricing page to see our paid plans. So don't hesitate to give us a try and let us know what you think!

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 failed logins in your Python application
  6. Monitor failed payments for your Python application
  7. Monitor memory usage in your Python application
  8. Monitor MySQL downtime in your Python application
  9. Monitor when a new feature is used in your Python application
  10. Monitor your Postgres downtime in your Python application
  11. Monitor Redis downtime in your Python application
  12. Monitor suspicious activity in your Python application
  13. Monitor when a user exceeds the usage limit for your Python service
  14. Monitor when a user is being rate limited in your Python application
  15. Get a notification when your Python code is done executing
  16. Send push notifications to your phone or desktop using Python
  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

Go Beyond the Metrics. Understand the Why.

Palzin Track reveals the human stories behind your data. Make user-centric decisions that drive growth.