ARROW-1551: [Website] Website updates, blog post for 0.7.0#1111
Closed
wesm wants to merge 3 commits intoapache:masterfrom
Closed
ARROW-1551: [Website] Website updates, blog post for 0.7.0#1111wesm wants to merge 3 commits intoapache:masterfrom
wesm wants to merge 3 commits intoapache:masterfrom
Conversation
Change-Id: Ie718ee1b03cf983036e5391f4334a57fb21ec953
Change-Id: Ic138eca127a4a98bb20803fef33e6c64560f5e9d
Change-Id: I2f134011e2974dab568ce1292a6cb8711d903bb3
xhochy
approved these changes
Sep 19, 2017
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
I drafted a post to publish tomorrow. If anyone would like to make some changes or additions please post a link to a git commit here for me to cherry pick
cc @kou @trxcllnt
@pcmoritz I think we should write a whole blog post about the object serialization functions. The perf wins over pickle when working with large datasets are a pretty big deal