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TM1py methods like write_dataframe_async and write_async names are confusing and misleading. These methods parallelize write back operations, and don't expose async write operations.
An alternative solution here would be to expose the optional parallelization to the normal functions through additional arguments like max_workers as was done in #1030 on execute_mdx, execute_view.
This approach has proven beneficial in the implementation as it allows for efficient recycling of the existing test cases without code duplication.
TM1py methods like write_dataframe_async and write_async names are confusing and misleading. These methods parallelize write back operations, and don't expose async write operations.
https://github.com/cubewise-code/tm1py/blob/master/TM1py/Services/CellService.py#L758
https://github.com/cubewise-code/tm1py/blob/master/TM1py/Services/CellService.py#L690
Instead, they should be named something like write_dataframe_chunked or write_dataframe_parallel.
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