--- title: First Steps --- ## Install ClearML First, [sign up for free](https://app.community.clear.ml) Install the clearml python package: ```bash pip install clearml ``` Connect your computer to the server by [creating credentials](https://app.community.clear.ml/profile), then run the below and follow the setup instructions: ```bash clearml-init ``` ## Auto-log Experiment In ClearML, experiments are organized as [Tasks](../../fundamentals/task). ClearML will automatically log your experiment and code, including outputs and parameters from popular ML frameworks, once you integrate the ClearML [SDK](../../clearml_sdk.md) with your code. To control what ClearML automatically logs, see this [FAQ](../../faq.md#controlling_logging). At the beginning of your code, import the `clearml` package: ```python from clearml import Task ``` :::note Full Automatic Logging To ensure full automatic logging, it is recommended to import the ClearML package at the top of your entry script. ::: Then initialize the Task object in your `main()` function, or the beginning of the script. ```python task = Task.init(project_name='great project', task_name='best experiment') ``` Task name is not unique, it's possible to have multiple experiments with the same name. If the project does not already exist, a new one will be created automatically. The console should return the following output: ``` ClearML Task: created new task id=1ca59ef1f86d44bd81cb517d529d9e5a 2021-07-25 13:59:09 ClearML results page: https://community/projects/4043a1657f374e9298649c6ba72ad233/experiments/1ca59ef1f86d44bd81cb517d529d9e5a/output/log 2021-07-25 13:59:16 ``` **That’s it!** You are done integrating ClearML with your code :) Now, [command-line arguments](../../fundamentals/hyperparameters.md#argument-parser), [console output](../../fundamentals/logger#types-of-logged-results) as well as Tensorboard and Matplotlib will automatically be logged in the UI under the created Task.
Sit back, relax, and watch your models converge :) or continue to see what else can be done with ClearML [here](ds_second_steps.md).