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siddteotia pushed a commit to branch master
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The following commit(s) were added to refs/heads/master by this push:
new ba00956 ARROW-1939: Correct links in release blog post
ba00956 is described below
commit ba009564d32b5b681128cff345ae9177ef39f82a
Author: siddharth <[email protected]>
AuthorDate: Wed Dec 20 11:52:17 2017 -0800
ARROW-1939: Correct links in release blog post
cc @wesm
Author: siddharth <[email protected]>
Closes #1436 from siddharthteotia/ARROW-1939 and squashes the following
commits:
31f1be14 [siddharth] ARROW-1939: Correct links in release blog post
---
site/_posts/2017-12-19-0.8.0-release.md | 66 ++++++++++++++++-----------------
1 file changed, 33 insertions(+), 33 deletions(-)
diff --git a/site/_posts/2017-12-19-0.8.0-release.md
b/site/_posts/2017-12-19-0.8.0-release.md
index c65d308..8c1f464 100644
--- a/site/_posts/2017-12-19-0.8.0-release.md
+++ b/site/_posts/2017-12-19-0.8.0-release.md
@@ -44,7 +44,7 @@ post.
## Projects "Powered By" Apache Arrow
A growing ecosystem of projects are using Arrow to solve in-memory analytics
-and data interchange problems. We have added a new [Powered By][18] page to the
+and data interchange problems. We have added a new [Powered By][19] page to the
Arrow website where we can acknowledge open source projects and companies which
are using Arrow. If you would like to add your project to the list as an Arrow
user, please let us know.
@@ -53,11 +53,11 @@ user, please let us know.
Since the last release, we have added 5 new Apache committers:
-* [Phillip Cloud][5], who has mainly contributed to C++ and Python
-* [Bryan Cutler][13], who has mainly contributed to Java and Spark integration
-* [Li Jin][14], who has mainly contributed to Java and Spark integration
-* [Paul Taylor][4], who has mainly contributed to JavaScript
-* [Siddharth Teotia][15], who has mainly contributed to Java
+* [Phillip Cloud][6], who has mainly contributed to C++ and Python
+* [Bryan Cutler][14], who has mainly contributed to Java and Spark integration
+* [Li Jin][15], who has mainly contributed to Java and Spark integration
+* [Paul Taylor][5], who has mainly contributed to JavaScript
+* [Siddharth Teotia][16], who has mainly contributed to Java
Welcome to the Arrow team, and thank you for your contributions!
@@ -67,11 +67,11 @@ Siddharth Teotia led efforts to revamp the Java vector API
to make things
simpler and faster. As part of this, we removed the dichotomy between nullable
and non-nullable vectors.
-See [Sidd's blog post][10] for more about these changes.
+See [Sidd's blog post][11] for more about these changes.
## Decimal support in C++, Python, consistency with Java
-[Phillip Cloud][5] led efforts this release to harden details about exact
+[Phillip Cloud][6] led efforts this release to harden details about exact
decimal values in the Arrow specification and ensure a consistent
implementation across Java, C++, and Python.
@@ -85,7 +85,7 @@ will facilitate Arrow adoption in Apache Spark and other
systems that use both
Java and Python.
Decimal data can now be read and written by the [Apache Parquet C++
-library][6], including via pyarrow.
+library][7], including via pyarrow.
In the future, we may implement support for smaller-precision decimals
represented by 32- or 64-bit integers.
@@ -94,7 +94,7 @@ represented by 32- or 64-bit integers.
In C++, we have continued developing the new `arrow::compute` submodule
consisting of native computation fuctions for Arrow data. New contributor
-[Licht Takeuchi][7] helped expand the supported types for type casting in
+[Licht Takeuchi][8] helped expand the supported types for type casting in
`compute::Cast`. We have also implemented new kernels `Unique` and
`DictionaryEncode` for computing the distinct elements of an array and
dictionary encoding (conversion to categorical), respectively.
@@ -115,20 +115,20 @@ work happening in Python and C. See the change log for
full details.
Developing of the GLib-based C bindings has generally tracked work happening in
the C++ library. These bindings are being used to develop [data science tools
-for Ruby users][8] and elsewhere.
+for Ruby users][9] and elsewhere.
-The C bindings now support the [Meson build system][9] in addition to
+The C bindings now support the [Meson build system][10] in addition to
autotools, which enables them to be built on Windows.
The Arrow GPU extension library is now also supported in the C bindings.
## JavaScript: first independent release on NPM
-[Brian Hulette][11] and [Paul Taylor][4] have been continuing to drive efforts
+[Brian Hulette][12] and [Paul Taylor][5] have been continuing to drive efforts
on the TypeScript-based JavaScript implementation.
Since the last release, we made a first JavaScript-only Apache release, version
-0.2.0, which is [now available on NPM][12]. We decided to make separate
+0.2.0, which is [now available on NPM][13]. We decided to make separate
JavaScript releases to enable the JS library to release more frequently than
the rest of the project.
@@ -141,7 +141,7 @@ library.
Some of these improvements include:
-* [Component-based serialization][16] for more flexible and memory-efficient
+* [Component-based serialization][17] for more flexible and memory-efficient
transport of large or complex Python objects
* Substantially improved serialization performance for pandas objects when
using `pyarrow.serialize` and `pyarrow.deserialize`. This includes a special
@@ -154,7 +154,7 @@ Some of these improvements include:
* More efficient conversion from 1-dimensional NumPy arrays to Arrow format
* New generic buffer compression and decompression APIs `pyarrow.compress` and
`pyarrow.decompress`
-* Enhanced Parquet cross-compatibility with [fastparquet][17] and improved Dask
+* Enhanced Parquet cross-compatibility with [fastparquet][18] and improved Dask
support
* Python support for accessing Parquet row group column statistics
@@ -173,20 +173,20 @@ implementations and bindings to more languages.
[1]:
https://issues.apache.org/jira/issues/?jql=project%20%3D%20ARROW%20AND%20status%20in%20(Resolved%2C%20Closed)%20AND%20fixVersion%20%3D%200.8.0
[2]: https://arrow.apache.org/install
-[3]: https://arrow.apache.org/release/0.7.0.html
-[3]: https://github.com/kou
-[4]: https://github.com/trxcllnt
-[5]: https://github.com/cpcloud
-[6]: https://github.com/apache/parquet-cpp
-[7]: https://github.com/licht-t
-[8]: https://github.com/red-data-tools
-[9]: https://mesonbuild.com
-[10]: https://arrow.apache.org/blog/2017/12/19/java-vector-improvements/
-[11]: https://github.com/TheNeuralBit
-[12]: http://npmjs.org/package/apache-arrow
-[13]: https://github.com/BryanCutler
-[14]: https://github.com/icexelloss
-[15]: https://github.com/siddharthteotia
-[16]: http://arrow.apache.org/docs/python/ipc.html
-[17]: https://github.com/dask/fastparquet
-[18]: http://arrow.apache.org/powered_by/
+[3]: https://arrow.apache.org/release/0.8.0.html
+[4]: https://github.com/kou
+[5]: https://github.com/trxcllnt
+[6]: https://github.com/cpcloud
+[7]: https://github.com/apache/parquet-cpp
+[8]: https://github.com/licht-t
+[9]: https://github.com/red-data-tools
+[10]: https://mesonbuild.com
+[11]: https://arrow.apache.org/blog/2017/12/19/java-vector-improvements/
+[12]: https://github.com/TheNeuralBit
+[13]: http://npmjs.org/package/apache-arrow
+[14]: https://github.com/BryanCutler
+[15]: https://github.com/icexelloss
+[16]: https://github.com/siddharthteotia
+[17]: http://arrow.apache.org/docs/python/ipc.html
+[18]: https://github.com/dask/fastparquet
+[19]: http://arrow.apache.org/powered_by/
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