## Example
### Installation
```bash
pip install predicthq
```
### Setup the SDK
```python
from predicthq import Client
# Initialises PredictHQ client library using your access token.
# Note: You can find/create your access token at https://control.predicthq.com/clients
phq = Client(access_token="$ACCESS_TOKEN")
```
### Search Events
Perform a basic search of events using the `q`, `rank_level` and `country` parameters.
```python
for event in phq.events.search(q="Foo Fighters", rank_level=[4, 5], country='US'):
print(event.rank, event.category, event.title, event.start.strftime('%Y-%m-%d'))
```
By default, the event search will only return the first ten results. If you want to paginate or access more results at once, please look at either using limit/offset parameters or at using the `iter_all()` helper.
## Further Examples
Please browse through our [use case examples](https://github.com/predicthq/sdk-py/tree/master/usecases) on our GitHub repository.
## Found an Issue?
Please [log an issue](https://github.com/predicthq/sdk-py/issues/new) on our GitHub repository.
---
# Agent Instructions: Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on the current page URL with the `ask` query parameter:
```
GET https://docs.predicthq.com/sdks/python-sdk.md?ask=
```
The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.