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Releases: hi-primus/optimus

Optimus 1.0.0 version.

11 Sep 22:54
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With these version you can use Apache Spark 2.2.0 and Python to build your data pipelines in an easy and scalable way. You can detect outliers and erase them, impute missing data using machine learning, clean special characters in your data set, move and update your columns with our data wrangling tools, make beautiful plots to share your discoveries and much more!

See #101 for changes.

Update requirements for installation and minor fixes

01 Sep 16:48
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Merge pull request #96 from ironmussa/develop

Update install requirements for PYPi

Start building framework for Data Prep and EDA

31 Aug 16:03
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Fix Outlier detection for pyspark 2.2.0

28 Aug 17:56
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Second official cross-language Spark-Package release

23 Aug 14:21
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Merge pull request #85 from ironmussa/develop

Bump version

Minor Bug Fixes

15 Aug 19:39
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Merge pull request #66 from ironmussa/develop

Bump version

Fix code style and type checking.

11 Aug 03:59
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Merge pull request #58 from ironmussa/develop

Fix typecheck

Fix styling, get A certification from codacy

07 Aug 19:37
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Improved coverage and fix typecheck errors

Fix documentation, license and add profiler pt2

31 Jul 12:52
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Fix import to matplotlib

27 Jul 16:11
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0.3.2

Bump version