Updated commands

Author: D-K-P

docs/guides/python/python-crawl4ai.mdx

@@ -215,14 +215,14 @@ if __name__ == "__main__":
 1. Create a virtual environment `python -m venv venv`
 2. Activate the virtual environment, depending on your OS: On Mac/Linux: `source venv/bin/activate`, on Windows: `venv\Scripts\activate`
 3. Install the Python dependencies `pip install -r requirements.txt`
-4. If you haven't already, copy your project ref from your [Trigger.dev dashboard](https://cloud.trigger.dev) and and add it to the `trigger.config.ts` file.
-5. Run the Trigger.dev dev CLI command with with `npx trigger dev@latest dev` (it may ask you to authorize the CLI if you haven't already).
+4. If you haven't already, copy your project ref from your [Trigger.dev dashboard](https://cloud.trigger.dev) and add it to the `trigger.config.ts` file.
+5. Run the Trigger.dev CLI `dev` command (it may ask you to authorize the CLI if you haven't already).
 6. Test the task in the dashboard, using a URL of your choice.
 
 <ScrapingWarning />
 
 ## Deploying your task
 
-Deploy the task to production using the CLI command `npx trigger.dev@latest deploy`
+Deploy the task to production using the Trigger.dev CLI `deploy` command.
 
 <PythonLearnMore />

docs/guides/python/python-image-processing.mdx

@@ -517,9 +517,9 @@ if __name__ == "__main__":
    S3_PUBLIC_URL=https://your-public-url.com
    ```
 5. Copy the project ref from your [Trigger.dev dashboard](https://cloud.trigger.dev) and add it to the `trigger.config.ts` file.
-6. Run the Trigger.dev dev CLI command with `npx trigger dev@latest dev` (it may ask you to authorize the CLI if you haven't already).
+6. Run the Trigger.dev CLI `dev` command (it may ask you to authorize the CLI if you haven't already).
 7. Test the task in the dashboard by providing a valid image URL and processing options.
-8. Deploy the task to production using the CLI command `npx trigger.dev@latest deploy`
+8. Deploy the task to production using the Trigger.dev CLI `deploy` command.
 
 ## Example Payload