README updates #2395
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README updates #2395
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BradReesWork
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BradReesWork
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rlratzel
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Jul 8, 2022
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| The [RAPIDS](https://rapids.ai) cuGraph library is a collection of GPU accelerated graph algorithms that process data found in [GPU DataFrames](https://github.com/rapidsai/cudf). The vision of cuGraph is _to make graph analysis ubiquitous to the point that users just think in terms of analysis and not technologies or frameworks_. To realize that vision, cuGraph operates, at the Python layer, on GPU DataFrames, thereby allowing for seamless passing of data between ETL tasks in [cuDF](https://github.com/rapidsai/cudf) and machine learning tasks in [cuML](https://github.com/rapidsai/cuml). Data scientists familiar with Python will quickly pick up how cuGraph integrates with the Pandas-like API of cuDF. Likewise, users familiar with NetworkX will quickly recognize the NetworkX-like API provided in cuGraph, with the goal to allow existing code to be ported with minimal effort into RAPIDS. For users familiar with C++/CUDA and graph structures, a C++ API is also provided. However, there is less type and structure checking at the C++ layer. | |||
| The [RAPIDS](https://rapids.ai) cuGraph library is a collection of GPU accelerated graph algorithms that process data found in [GPU DataFrames](https://github.com/rapidsai/cudf). The vision of cuGraph is _to make graph analysis ubiquitous to the point that users just think in terms of analysis and not technologies or frameworks_. To realize that vision, cuGraph operates, at the Python layer, on GPU DataFrames, thereby allowing for seamless passing of data between ETL tasks in [cuDF](https://github.com/rapidsai/cudf) and machine learning tasks in [cuML](https://github.com/rapidsai/cuml). Data scientists familiar with Python will quickly pick up how cuGraph integrates with the Pandas-like API of cuDF. Likewise, users familiar with NetworkX will quickly recognize the NetworkX-like API provided in cuGraph, with the goal to allow existing code to be ported with minimal effort into RAPIDS. | |||
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The sentence starting with "To realize that vision..." might read better with fewer commas, maybe like this:
To realize that vision, cuGraph operates at the Python layer on GPU DataFrames, thereby allowing for seamless passing of data between ETL...
Co-authored-by: Rick Ratzel <[email protected]>
Co-authored-by: Rick Ratzel <[email protected]>
Codecov Report
@@ Coverage Diff @@
## branch-22.08 #2395 +/- ##
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+ Coverage 60.08% 60.09% +0.01%
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Files 102 102
Lines 5158 5155 -3
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- Hits 3099 3098 -1
+ Misses 2059 2057 -2
Continue to review full report at Codecov.
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ChuckHastings
approved these changes
Jul 14, 2022
rlratzel
approved these changes
Jul 18, 2022
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@gpucibot merge |
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updated the README
closes #2376