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Copy file name to clipboardExpand all lines: README.md
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> DataFrames on AWS
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> Pandas on AWS
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## IMPORTANT NOTE: Version 1.0.0 coming soon with several breaking changes.
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Please, pin the version you are using on your environment.
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AWS Data Wrangler is completing 1 year, and the team is working to collect feedbacks and features requests to put in our 1.0.0 version. By now we have 3 major changes listed:
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- API redesign
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- Nested data types support
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- Deprecation of PySpark support
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- PySpark support takes considerable part of the development time and it has not been reflected in user adoption. Only 2 of our 66 issues on GitHub are related to Spark.
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- In addition, the integration between PySpark and PyArrow/Pandas remains in experimental stage and we have been experiencing tough times to keep it stable.
Copy file name to clipboardExpand all lines: docs/source/examples.rst
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.. warning:: Version 1.0.0 coming soon with several breaking changes. Please, pin the version you are using on your environment.
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AWS Data Wrangler is completing 1 year, and the team is working to collect feedbacks and features requests to put in our 1.0.0 version. By now we have 3 major changes listed:
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- API redesign
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- Nested data types support
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- Deprecation of PySpark support
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- PySpark support takes considerable part of the development time and it has not been reflected in user adoption. Only 2 of our 66 issues on GitHub are related to Spark.
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- In addition, the integration between PySpark and PyArrow/Pandas remains in experimental stage and we have been experiencing tough times to keep it stable.
Copy file name to clipboardExpand all lines: docs/source/index.rst
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:width:38%
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:alt:AWS Data Wrangler
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*DataFrames on AWS*
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*Pandas on AWS*
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---------------------
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.. warning:: Version 1.0.0 coming soon with several breaking changes. Please, pin the version you are using on your environment.
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AWS Data Wrangler is completing 1 year, and the team is working to collect feedbacks and features requests to put in our 1.0.0 version. By now we have 3 major changes listed:
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- API redesign
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- Nested data types support
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- Deprecation of PySpark support
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- PySpark support takes considerable part of the development time and it has not been reflected in user adoption. Only 2 of our 66 issues on GitHub are related to Spark.
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- In addition, the integration between PySpark and PyArrow/Pandas remains in experimental stage and we have been experiencing tough times to keep it stable.
Copy file name to clipboardExpand all lines: docs/source/install.rst
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.. warning:: Version 1.0.0 coming soon with several breaking changes. Please, pin the version you are using on your environment.
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+
AWS Data Wrangler is completing 1 year, and the team is working to collect feedbacks and features requests to put in our 1.0.0 version. By now we have 3 major changes listed:
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+
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+
- API redesign
6
+
- Nested data types support
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+
- Deprecation of PySpark support
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+
- PySpark support takes considerable part of the development time and it has not been reflected in user adoption. Only 2 of our 66 issues on GitHub are related to Spark.
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+
- In addition, the integration between PySpark and PyArrow/Pandas remains in experimental stage and we have been experiencing tough times to keep it stable.
Copy file name to clipboardExpand all lines: docs/source/tutorials.rst
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.. warning:: Version 1.0.0 coming soon with several breaking changes. Please, pin the version you are using on your environment.
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+
AWS Data Wrangler is completing 1 year, and the team is working to collect feedbacks and features requests to put in our 1.0.0 version. By now we have 3 major changes listed:
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+
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+
- API redesign
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+
- Nested data types support
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+
- Deprecation of PySpark support
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+
- PySpark support takes considerable part of the development time and it has not been reflected in user adoption. Only 2 of our 66 issues on GitHub are related to Spark.
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+
- In addition, the integration between PySpark and PyArrow/Pandas remains in experimental stage and we have been experiencing tough times to keep it stable.
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