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Reading a huge .csv file
I'm currently trying to read data from .csv files in Python 2.7 with up to 1 million rows, and 200 columns (files range from 100mb to 1.6gb). I can do this (very slowly) for the files with under 300,000 rows, but once I go above that I get memory errors. My code looks like this:
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Clear file cache to repeat performance testing
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edited Nov 13 '12 at 5:05
Jeff Atwood
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Why 0 is true but false is 1 in the shell?
The above will output 1 , which is contradictory with all other programming languages I know.
10 Answers
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Will the Garbage Collector call IDisposable.Dispose for me?
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122
The .Net Garbage Collector calls the Object.Finalize method of an object on garbage collection...
Can I serve multiple clients using just Flask app.run() as standalone?
...an one process to handle requests).
threaded defaults to True as of Flask 1.0, so for the latest versions of Flask, the default development server will be able to serve multiple clients simultaneously by default. For older versions of Flask, you can explicitly pass threaded=True to enable this beha...
String comparison in bash. [[: not found
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165
[[ is a bash-builtin. Your /bin/bash doesn't seem to be an actual bash.
From a comment:
Add #!...
Internet Explorer 11 detection
I know IE 11 has different user agent string than all other IE
11 Answers
11
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Unable to execute dex: GC overhead limit exceeded in Eclipse
...can be fixed by changing the VM values in Eclipse.ini. Set the values to 512 and 1024 as below:
openFile
--launcher.XXMaxPermSize
512M
-showsplash
org.eclipse.platform
--launcher.defaultAction
openFile
-vmargs
-Dosgi.requiredJavaVersion=1.5
-Xms512m
-Xmx1024m
The changed area in image
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Best way to compare 2 XML documents in Java
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14 Answers
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Active
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SQLite select where empty?
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answered Sep 1 '10 at 18:06
GuffaGuffa
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