> ## Documentation Index
> Fetch the complete documentation index at: https://statsig-preview.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# How to run an AB Test in Python

### Step 1: Create a Basic Python Web Server

First, you'll need a simple Python web server. Flask is a lightweight WSGI web application framework that's perfect for this purpose.

### Step 1: Creating a Simple Python "Hello World" Application

1. **Set Up Your Python Environment**:
   * Ensure Python is installed on your system. You can download it from [python.org](https://www.python.org/downloads/).
   * Optionally, create a virtual environment for your project to manage dependencies:
   ```Bash theme={null}
   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`
   ```
2. **Create a New Python File**:
   * In your project directory, create a file named `app.py`.
3. **Write a Simple Python Program**:
   * Open `app.py` in your favorite text editor or IDE and write a simple Python program:
   ```py theme={null}
   print("Hello, World!")
   ```
4. **Run Your Program**:
   * Run your program from the command line or terminal:
   ```Bash theme={null}
   python app.py
   ```
   * You should see "Hello, World!" printed to the console.

### Step 2: Integrate Statsig for A/B Testing

1. **Install Statsig SDK**:
   * Add the Statsig SDK to your project:
   ```
   pip install statsig
   ```
2. **Initialize Statsig in Your Application**:
   * Modify `app.py` to include initialization of the Statsig SDK and to check a feature flag. You will need a server secret key from Statsig, which you can get from the Statsig dashboard.
   ```py theme={null}
   from statsig import statsig
   from statsig.statsig_user import StatsigUser
   # Initialize Statsig with your server secret key
   statsig.initialize('your_server_secret_key')
   user = StatsigUser(
     user_id = "user123",
     email = "test@statsig.com",
   )  # Customize user info as needed
   experiment = statsig.get_experiment(user, 'your_experiment_name')
   text_to_show = experiment.get('text', 'Hello, World!')
   print(text_to_show)
   # Shutdown Statsig before your application exits
   statsig.shutdown()
   ```
   * Replace `'your_server_secret_key'` with your actual server secret key from Statsig.
   * Replace `'your_experiment_name'` with the name of your experiment.

### Step 3: Creating the A/B Test in Statsig Console

1. **Log Into Statsig Console**:
   * Access the Statsig Console and sign in.
2. **Create an Experiment**:
   * Navigate to the "Experiments" section and click "Create New".
   * Fill in the experiment details, including a unique key for `'your_experiment_name'`.
3. **Configure Experiment Variants**:
   * Define your variants, for example, `variant_a` and `variant_b`.
   * Add a parameter called `'text'` for each variant and configure the text you wish to display, such as "This is Control Variant" and "This is Test Variant".
   <Frame>
     <img src="https://mintcdn.com/statsig-preview/WoeZk8QBCrPBwbAK/images/310288589-8a667aeb-9189-4e7d-8a22-a42dabcdfe09(1).png?fit=max&auto=format&n=WoeZk8QBCrPBwbAK&q=85&s=5685bc10fb533df8c2fb2f94861b386f" width="1131" height="870" data-path="images/310288589-8a667aeb-9189-4e7d-8a22-a42dabcdfe09(1).png" />
   </Frame>
4. **Launch Your Experiment**:
   * After setting up your variants and their parameters, save your configurations and start the experiment.

By following these steps, you've set up a Python Flask application that utilizes Statsig for running an A/B test, dynamically serving different text content based on the experiment's variant. This setup enables data-driven decisions and iterative improvements based on user interactions.