2.0.14

Merge pull request #187 from dolthub/james/release

fix release action

0.0.0

v0.0.0

mistake

2.0.13

Parquet export IR (#183)

* Parquet export IR

Exporting data through a CSV intermediary is subject to loss
of specificity and type info. This is particularly noticable
for read_pandas, where the resulting dataframe has every column
of type `object` and NULLs are indistinguishable from zero values.

I used a small hack to export data from Dolt into a DataFrame using parquet
instead of CSV. This requires the pyarrow dependency.

I left TODOs for improvements on the Dolt side that would make
this code cleaner and Dolt issues for the associated features.

There is one bug with NULL datetime values that I added a Dolt issue
for.

* fix fmt

* revert python changes, use early pyarrow

2.0.12

accept numpy range (#178)

* accept numpy range

* remove 3.9 CI

2.0.11

Pandas import update (#176)

* Pandas import update\nNulls on nullable columns is OK

* fix show tables difference

2.0.10

v2.0.10

bump pytz (#173)

2.0.9

Fix dead link, bump doltcli (#161)

* Fix dead link, bump doltcli

* Poetry update

* Fix w no gc

* Add gc

2.0.8

Bump py from 1.9.0 to 1.10.0 (#160)

* Bump py from 1.9.0 to 1.10.0

Bumps [py](https://github.com/pytest-dev/py) from 1.9.0 to 1.10.0.
- [Release notes](https://github.com/pytest-dev/py/releases)
- [Changelog](https://github.com/pytest-dev/py/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/pytest-dev/py/compare/1.9.0...1.10.0)

---
updated-dependencies:
- dependency-name: py
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>

* remove py

Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Max Hoffman <max@dolthub.com>

2.0.7

Add max connections and password capabilities. (#151)

This pr adds max-connections as well as the ability to connect w/ a password

2.0.6

Merge pull request #144 from dolthub/oscarbatori/refactor-pandas-and-…

…tests

clean up docs, tests, and refactor read pandas