Pytd

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- New parallel upload feature. Use two new parameters max_workers and chunk_record_size in Client’s load_table_from_dataframe api to configure parallelization of uploading data to Treasure Data, saving time
- Support for pandas 2
- Increase supported numpy versions to between 1.17.3 and less than 2.0.0

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- Add support for python 3.11
- Drop support of EOL python 3.7

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- Handle cases with cur.description is None
- Keep single quotes in InsertIntoWriter
- Use obj.items instead of iteritems()

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- Updated dependencies and pytd now supports python 3.9 and 3.10

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- Upgrade urllib3 version (`112 <https://github.com/treasure-data/pytd/pull/112>`__)

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- [hot fix] Set upper version for pandas lower than 1.2 (`108 <https://github.com/treasure-data/pytd/pull/108>`__)