Unlock Powerful A/B Testing with the Mida Python Client: A Developer's Guide

Want to supercharge your application with A/B testing and feature flags? The Mida Python Client offers seamless integration with Mida.so, giving you the power to optimize user experiences and drive growth. This guide will walk you through installation, usage, and key functionalities.

Getting Started: Installation in Minutes

Setting up the Mida Python Client is quick and easy. Follow these simple steps to integrate it into your project:

1. Clone the repository: Open your terminal and run git clone https://github.com/mida-so/mida-python.git
2. Install Dependencies: Ensure all required packages are installed, usually through pip install -r requirements.txt if a requirements.txt file exists.

Unleash the Power: Mida Python Client Usage Explained

Once installed, you can import the Mida class and start using its methods in your Python project. Remember to replace placeholders with your actual project and experiment keys.

Example:

from mida import Mida

# replace 'your-project-key' with your actual key
mida_instance = Mida('your-project-key')

# replace 'your-experiment-key' and 'your-distinct-id' with actual values
experiment = mida_instance.get_experiment('your-experiment-key', 'your-distinct-id')

if experiment == 'Control':
    print('Control variant execute')
elif experiment == 'Variant 1':
    print('Variant 1 variant execute')
elif experiment == 'Variant 2':
    print('Variant 2 variant execute')

# set an event
mida_instance.set_event('event_name', 'your-distinct-id')

# reload feature flags for a user
mida_instance.on_feature_flags('your-distinct-id')

# check if a feature flag is enabled
is_enabled = mida_instance.is_feature_enabled('feature_flag_key')
if is_enabled:
    print('Feature flag is enabled')
else:
    print('Feature flag is disabled')

# set user attributes
attributes = {
    'name': 'John Doe',
    'email': '[email protected]'
}
mida_instance.set_attribute('your-distinct-id', attributes)

Core Methods: Your Toolkit for Optimization

The Mida Python Client provides a range of methods to manage experiments, track events, and personalize user experiences. Here's a breakdown:

• get_experiment(experiment_key, distinct_id): Assign users to experiment variations for A/B testing. This is how you determine which experience a user sees.
• set_event(event_name, distinct_id): Track user actions to measure experiment success. Use this to monitor conversions, clicks, or any other relevant metric.
• is_feature_enabled(key): Dynamically enable or disable features for specific users or groups. This offers fine-grained control over feature rollouts.
• on_feature_flags(distinct_id): Refresh feature flag states for a user, ensuring they always have the latest configuration.
• set_attribute(distinct_id, properties): Store user attributes for personalized experiences and targeted experimentation, for example set_attribute('user123', {'country': 'USA'}).
  • Long-tail term: set user attributes using Mida Python

Contributing: Shape the Future of Mida

Your contributions are valuable! If you encounter issues or have brilliant ideas, feel free to submit a pull request and help improve the Mida Python Client.

Need Help? We're Here for You

For any questions or assistance, reach out to the Mida team at [email protected]. We're dedicated to helping you succeed.

License

This project is licensed under the MIT License. See the LICENSE.md file for complete details.