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Copy file name to clipboardExpand all lines: CHANGELOG.md
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## Release notes
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### Upcoming
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- Added - Codespell GitHub Actions workflow
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- Added - GitHub Actions workflow to manually release docs
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- Changed - Update `datajoint/nginx` to `v0.2.6`
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- Changed - Migrate docs from `https://docs.datajoint.org/python` to `https://datajoint.com/docs/core/datajoint-python`
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- Fixed - Updated set_password to work on MySQL 8 - PR [#1106](https://github.com/datajoint/datajoint-python/pull/1106)
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- Added - Missing tests for set_password - PR [#1106](https://github.com/datajoint/datajoint-python/pull/1106)
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- Changed - Returning success count after the .populate() call - PR [#1050](https://github.com/datajoint/datajoint-python/pull/1050)
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### 0.14.1 -- Jun 02, 2023
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- Fixed - Fix altering a part table that uses the "master" keyword - PR [#991](https://github.com/datajoint/datajoint-python/pull/991)
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- Fixed - `.ipynb` output in tutorials is not visible in dark mode ([#1078](https://github.com/datajoint/datajoint-python/issues/1078)) PR [#1080](https://github.com/datajoint/datajoint-python/pull/1080)
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- Fixed - Fix queries with backslashes ([#999](https://github.com/datajoint/datajoint-python/issues/999)) PR [#1052](https://github.com/datajoint/datajoint-python/pull/1052)
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### 0.13.7 -- Jul 13, 2022
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- Fixed - Fix networkx incompatable change by version pinning to 2.6.3 (#1035) PR #1036
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- Fixed - Fix networkx incompatible change by version pinning to 2.6.3 (#1035) PR #1036
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- Added - Support for serializing numpy datetime64 types (#1022) PR #1036
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- Changed - Add traceback to default logging PR #1036
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- Fixed - `schema.list_tables()` is not topologically sorted (#838) PR #893
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- Fixed - Diagram part tables do not show proper class name (#882) PR #893
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- Fixed - Error in complex restrictions (#892) PR #893
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- Fixed - WHERE and GROUP BY clases are dropped on joins with aggregation (#898, #899) PR #893
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- Fixed - WHERE and GROUP BY classes are dropped on joins with aggregation (#898, #899) PR #893
Copy file name to clipboardExpand all lines: README.md
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# Welcome to DataJoint for Python!
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DataJoint for Python is a framework for scientific workflow management based on relational principles. DataJoint is built on the foundation of the relational data model and prescribes a consistent method for organizing, populating, computing, and querying data.
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DataJoint was initially developed in 2009 by Dimitri Yatsenko in Andreas Tolias' Lab at Baylor College of Medicine for the distributed processing and management of large volumes of data streaming from regular experiments. Starting in 2011, DataJoint has been available as an open-source project adopted by other labs and improved through contributions from several developers.
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Presently, the primary developer of DataJoint open-source software is the company DataJoint (https://datajoint.com).
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DataJoint for Python is a framework for scientific workflow management based on
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relational principles. DataJoint is built on the foundation of the relational data
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model and prescribes a consistent method for organizing, populating, computing, and
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querying data.
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DataJoint was initially developed in 2009 by Dimitri Yatsenko in Andreas Tolias' Lab at
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Baylor College of Medicine for the distributed processing and management of large
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volumes of data streaming from regular experiments. Starting in 2011, DataJoint has
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been available as an open-source project adopted by other labs and improved through
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contributions from several developers.
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Presently, the primary developer of DataJoint open-source software is the company
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DataJoint (https://datajoint.com).
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## Data Pipeline Example
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## Getting Started
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- Install from PyPI
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- Install with Conda
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```bash
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conda install -c conda-forge datajoint
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```
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- Install with pip
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```bash
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pip install datajoint
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