> ## Documentation Index
> Fetch the complete documentation index at: https://wb-21fd5541-docs-sandboxes-integrations-placement.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.
# setup()
export const GitHubLink = ({url}) =>
GitHub source
;
### function `setup`
```python theme={null}
setup(settings: 'Settings | None' = None) → _WandbSetup
```
Prepares W\&B for use in the current process and its children.
You can usually ignore this as it is implicitly called by `wandb.init()`.
When using wandb in multiple processes, calling `wandb.setup()` in the parent process before starting child processes may improve performance and resource utilization.
Note that `wandb.setup()` modifies `os.environ`, and it is important that child processes inherit the modified environment variables.
See also `wandb.teardown()`.
**Args:**
* `settings`: Configuration settings to apply globally. These can be overridden by subsequent `wandb.init()` calls.
**Example:**
```python theme={null}
import multiprocessing
import wandb
def run_experiment(params):
with wandb.init(config=params):
# Run experiment
pass
if __name__ == "__main__":
# Start backend and set global config
wandb.setup(settings={"project": "my_project"})
# Define experiment parameters
experiment_params = [
{"learning_rate": 0.01, "epochs": 10},
{"learning_rate": 0.001, "epochs": 20},
]
# Start multiple processes, each running a separate experiment
processes = []
for params in experiment_params:
p = multiprocessing.Process(target=run_experiment, args=(params,))
p.start()
processes.append(p)
# Wait for all processes to complete
for p in processes:
p.join()
# Optional: Explicitly shut down the backend
wandb.teardown()
```