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reference/utilities/utilities.md
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@ -10,10 +10,10 @@ Well-tested tools that can be used in production with confidence. The toolbox of
::: great_ai.utilities.clean
::: great_ai.utilities.get_sentences
::: great_ai.utilities.predict_language
::: great_ai.utilities.is_english
::: great_ai.utilities.english_name_of_language
::: great_ai.utilities.evaluate_ranking
::: great_ai.utilities.language.predict_language
::: great_ai.utilities.language.english_name_of_language
::: great_ai.utilities.language.is_english
::: great_ai.utilities.evaluate_ranking.evaluate_ranking
## Parallel processing
@ -29,7 +29,7 @@ Multiprocessing and multithreading-based parallelism with support for `async` fu
## Composable parallel processing
Because both [threaded_parallel_map][great_ai.utilities.parallel_map.threaded_parallel_map.threaded_parallel_map] and [parallel_map][great_ai.utilities.parallel_map.parallel_map] have a streaming interface, it is easy to compose them and end up with, for example, a process for each CPU core with its own thread-pool or event-loop. Longer pipelines are also easy to imagine. The chunking methods help in these compositions.
Because both [threaded_parallel_map][great_ai.utilities.parallel_map.threaded_parallel_map.threaded_parallel_map] and [parallel_map][great_ai.utilities.parallel_map.parallel_map.parallel_map] have a streaming interface, it is easy to compose them and end up with, for example, a process for each CPU core with its own thread-pool or event-loop. Longer pipelines are also easy to imagine. The chunking methods help in these compositions.
For more info, check-out [the scraping guide](/how-to-guides/scraping).