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Call Go functions from C

...ft := float64(total) * 0.01 // print how far along we are. // eg: 500 / 1000 (50.00%) // For good measure, prefix it with our userdata value, which // we supplied as "Callbacks rock!". fmt.Printf("%s: %d / %d (%3.2f%%)\n", userdata.(string), current, total, fc / ft) return 0...
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Ways to save Backbone.js model data?

...aults: { flavor: 'Boston Cream', // Some string price: '0.50' // Dollars } }); To populate the model there are a few ways to do so. For example, you can set up your model instance by passing in a JSON OR use method called set() which takes a JSON object of attributes. myDonu...
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Django: “projects” vs “apps”

... 56 What is to stop you using myproduct.myproduct? What you need to achieve that roughly consists o...
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The 'json' native gem requires installed build tools

... 54 I believe those installers make changes to the path. Did you try closing and re-opening the CM...
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Java enum - why use toString instead of name

... | edited Apr 29 '15 at 19:08 answered Nov 8 '12 at 14:37 ...
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How to configure a HTTP proxy for svn

... answered Sep 29 '09 at 8:15 Rich SellerRich Seller 78.3k2222 gold badges167167 silver badges173173 bronze badges ...
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PDO MySQL: Use PDO::ATTR_EMULATE_PREPARES or not?

... +50 To answer your concerns: MySQL >= 5.1.17 (or >= 5.1.21 for the PREPARE and EXECUTE statements) can use prepared statements in...
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Qt 5.1.1: Application failed to start because platform plugin “windows” is missing

... Okay, as posted here https://stackoverflow.com/a/17271172/1458552 without much attention by other users: The libEGL.dll was missing! Even though this has not been reported when trying to start the application (all other *.dlls such as Qt5Gui.dll had been reported). ...
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How do I use vimdiff to resolve a git merge conflict?

... | edited Nov 5 '13 at 10:06 codebox 17.2k77 gold badges5151 silver badges7575 bronze badges ...
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Pandas DataFrame column to list [duplicate]

...method. For example: import pandas as pd df = pd.DataFrame({'a': [1, 3, 5, 7, 4, 5, 6, 4, 7, 8, 9], 'b': [3, 5, 6, 2, 4, 6, 7, 8, 7, 8, 9]}) print(df['a'].to_list()) Output: [1, 3, 5, 7, 4, 5, 6, 4, 7, 8, 9] To drop duplicates you can do one of the following: >>&gt...