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The Apify SDK for Python is the official library for creating Apify Actors in Python. It provides useful features like actor lifecycle management, local storage emulation, and actor event handling.

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How can i create multiple Datasets with different output schemes ?

Migrate to Poetry for packaging and dependency management #156

t-tooling

Remove ignoring of `SLF001` violation from `pyproject.toml` and then remove underscores from all non-private members.

debt
t-tooling

Respect the `APIFY_DEFAULT_XXX_ID` env var in `BaseResourceClient` https://github.com/apify/apify-sdk-python/blob/v1.3.0/src/apify/_memory_storage/resource_clients/base_resource_client.py#L116

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t-tooling

https://github.com/apify/apify-sdk-python/tree/v1.3.0/src/apify/scrapy

debt
t-tooling

https://github.com/apify/apify-sdk-python/blob/v1.3.0/src/apify/config.py#L69 We should also improve the documentation examples around Configuration here to include a mention of the config being accessible via `Actor.config`: https://docs.apify.com/sdk/python/docs/concepts/configuration

documentation
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t-tooling

https://github.com/apify/apify-sdk-python/blob/v1.3.0/src/apify/actor.py#L226

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t-tooling

Optimize performance by skipping unnecessary `updateRequest()` calls in `RequestQueue.reclaim_request()` https://github.com/apify/apify-sdk-python/blob/v1.3.0/src/apify/storages/request_queue.py#L314:318

debt
t-tooling

Simplify code in `RequestQueue._ensure_head_is_non_empty` https://github.com/apify/apify-sdk-python/blob/v1.3.0/src/apify/storages/request_queue.py#L428

debt
t-tooling

Simulate this error in Python and handle it accordingly. ```js try { return await this.client.listItems(options); } catch (e) { const error = e as Error; if (error.message.includes('Cannot create a string...

debt
t-tooling