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Most efficient way to prepend a value to an array
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Michael Robinson
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answered Dec 25 '14 at 13:30
uroslatesuroslates
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Creating dataframe from a dictionary where entries have different lengths
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JeffJeff
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Resize image in the wiki of GitHub using Markdown
...ple:
Old Answer:
This should work:
[[ http://url.to/image.png | height = 100px ]]
Source: https://guides.github.com/features/mastering-markdown/
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Remove duplicates from a List in C#
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its unbelievable fast... 100.000 strings with List takes 400s and 8MB ram, my own solution takes 2.5s and 28MB, hashset takes 0.1s!!! and 11MB ram
– sasjaq
Mar 25 '13 at 22:28
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Fade In Fade Out Android Animation in Java
I want to have a 2 second animation of an ImageView that spends 1000ms fading in and then 1000ms fading out.
11 Answers
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CSS, Images, JS not loading in IIS
...e I had to search for your post, b/c it saved me twice now. I'd upvote you 100x if I could. Was using Umbraco - set up my local IIS using Documents\Visual Studio 2013\Projects - added CPUName\IIS_IUSRS and still wouldn't load. Thanks again!
– Rob Scott
Aug 30 '...
unbound method f() must be called with fibo_ instance as first argument (got classobj instance inste
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user225312user225312
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How to delete the top 1000 rows from a table using Sql Server 2008?
I have a table in SQL Server. I would like to delete the top 1000 rows from it. However, I tried this, but I instead of just deleting the top 1000 rows it deleted all the rows in the table.
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How do I set the proxy to be used by the JVM
...he example with the Unix shell script:
JAVA_FLAGS=-Dhttp.proxyHost=10.0.0.100 -Dhttp.proxyPort=8800
java ${JAVA_FLAGS} ...
When using containers such as JBoss or WebLogic, my solution is to edit the start-up scripts supplied by the vendor.
Many developers are familiar with the Java API (javadocs...
Cannot create an array of LinkedLists in Java…?
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This implementation is outrageously slow. Getting the [1000][2000] element (nodeLists.get(1000).get(2000)) will make LinkedList iterate 3000 times! Avoid LinkedList if anyone may be indexing into it. ArrayList will index faster, but Fredrik's solution is better overall.
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