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The difference between try/catch/throw and try/catch(e)/throw e
What is the difference between
4 Answers
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How do I migrate a model out of one django app and into a new one?
I have a django app with four models in it. I realize now that one of these models should be in a separate app. I do have south installed for migrations, but I don't think this is something it can handle automatically. How can I migrate one of the models out of the old app into a new one?
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How to define multiple name tags in a struct
I need to get an item from a mongo database, so I defined a struct like this
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How to parse a CSV file in Bash?
I'm working on a long Bash script. I want to read cells from a CSV file into Bash variables. I can parse lines and the first column, but not any other column. Here's my code so far:
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Regex lookahead for 'not followed by' in grep
I am attempting to grep for all instances of Ui\. not followed by Line or even just the letter L
5 Answers
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How can I connect to Android with ADB over TCP? [closed]
I am attempting to debug an application on a Motorola Droid , but I am having some difficulty connecting to the device via USB. My development server is a Windows 7 64-bit VM running in Hyper-V , and so I cannot connect directly via USB in the guest or from the host.
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Do NSUserDefaults persist through an Update to an app in the Appstore?
Is this the case? Do NSUserDefaults get reset when you submit an update to an app on the App Store, or are they reset?
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How do I hide .class files from the Open Resource dialog in Eclipse?
I won't want to have edit any working sets. I just want a way to, across all workspaces and projects, prevent .class files from ever showing in the Open Resource Dialog. Is there a way to do this?
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How can I see what I am about to push with git?
Is there a way to see what would be pushed if I did a git push command?
13 Answers
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How to select rows with one or more nulls from a pandas DataFrame without listing columns explicitly
I have a dataframe with ~300K rows and ~40 columns.
I want to find out if any rows contain null values - and put these 'null'-rows into a separate dataframe so that I could explore them easily.
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