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Merge pull request #354 from pcattori/beta-changelog
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Consolidate BETA features into new BETA section of the changelog
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pcattori committed Apr 3, 2020
2 parents 7113e46 + f85397c commit f6e297d
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26 changes: 16 additions & 10 deletions CHANGELOG.md
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## 0.11.0-dev
**NEW FEATURES**
- BETA: New attributes package!
**BETA**
Important: Do not use BETA features for production workflows.

New `tamr_client` package includes:

- attributes
- `tc.attribute` module
- `tc.Attribute` type
- functions: `from_resource_id`, `from_dataset_all`, `to_json`, `create`, `update`, `delete`
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- `tc.attributes.type_alias` module
- `tc.attributes.type_alias.DEFAULT` type
- `tc.attributes.type_alias.GEOSPATIAL` type
- BETA: New datasets package!
- datasets
- `tc.dataset` module
- `tc.Dataset` type
- functions: `from_resource_id`
- BETA: New `tc.instance` module!
- `tc.instance` module
- `tc.Instance` type
- functions: `tc.instance.from_auth`
- BETA: New supporting modules!
- `tc.record` module
- functions: `tc.record.upsert`, `tc.record.delete`
- `tc.dataframe` module
- functions: `tc.dataframe.upsert`
- other supporting modules
- `tc.auth` module
- `tc.UsernamePasswordAuth` type
- `tc.session` module
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- `tc.URL` type
- `tc.response` module
- functions: `successful`, `ndjson`

**NEW FEATURES**
- [#35](https://github.com/Datatamer/tamr-client/issues/35) projects.by_name() functionality added. Can now fetch a project by its name.
- BETA: New record upsert, delete, upsert from DataFrame functionality!
- `tc.record` module
- functions: `tc.record.upsert`, `tc.record.delete`
- `tc.dataframe` module
- functions: `tc.dataframe.upsert`
- [#377](https://github.com/Datatamer/tamr-client/issues/377) dataset.upsert_from_dataframe() functionality added. Can now upsert records from a pandas DataFrame.

**BUG FIXES**
- Links from our docs to the `requests` docs were outdated. Links have been updated to point to the new `requests` docs URL.
- [#323](https://github.com/Datatamer/tamr-client/issues/323) Documentation for setting `dtype=str` before calling `client.datasets.create_from_dataframe`
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