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Elegant Python function to convert CamelCase to snake_case?
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how about the reverse? Convert a not_camel_case to notCamelCase and/or NotCamelCase?
– john2x
Aug 14 '11 at 22:59
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How to convert local time string to UTC?
How do I convert a datetime string in local time to a string in UTC time ?
21 Answers
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How can I convert a std::string to int?
...nd I've found a few solutions but none of them have worked yet. Looking at converting a string to an int and I don't mean ASCII codes.
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How to convert char to int?
What is the proper way to convert a char to int ?
This gives 49 :
11 Answers
11
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How to convert ActiveRecord results into an array of hashes
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as_json
You should use as_json method which converts ActiveRecord objects to Ruby Hashes despite its name
tasks_records = TaskStoreStatus.all
tasks_records = tasks_records.as_json
# You can now add new records and return the result as json by calling `to_json`
tasks...
Converting java.util.Properties to HashMap
...til.HashMap's constructor receives a Map type param. So, why must it be converted explicitly?
13 Answers
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How can I convert a PFX certificate file for use with Apache on a linux server?
How can I convert a PFX certificate file for use with Apache on a linux server?
5 Answers
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Set margin size when converting from Markdown to PDF with pandoc
...d to knit it with knitr into an HTML and .md file. Next, I used pandoc to convert the .md file into a PDF file (I get an error if I try and convert from the .html file). However, the PDF that is produced have massive margins (like this http://johnmacfarlane.net/pandoc/demo/example13.pdf ). How c...
Convert boolean result into number/integer
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Use the unary + operator, which converts its operand into a number.
+ true; // 1
+ false; // 0
Note, of course, that you should still sanitise the data on the server side, because a user can send any data to your sever, no matter what the client-side cod...
Pandas convert dataframe to array of tuples
...I want to carry out a batch save back to the database. This requires me to convert the dataframe into an array of tuples, with each tuple corresponding to a "row" of the dataframe.
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