Why does 2+ 40 equal 42?

That character is “OGHAM SPACE MARK”, which is a space character. So the code is equivalent to alert(2+ 40). I’d also like to know if there are more characters behaving like this. Any Unicode character in the Zs class is a white space character in JavaScript, but there don’t seem to be that many. However, … Read more

Placing Unicode character in CSS content value [duplicate]

Why don’t you just save/serve the CSS file as UTF-8? nav a:hover:after { content: “↓”; } If that’s not good enough, and you want to keep it all-ASCII: nav a:hover:after { content: “\2193”; } The general format for a Unicode character inside a string is \000000 to \FFFFFF – a backslash followed by six hexadecimal … Read more

Representing Directory & File Structure in Markdown Syntax [closed]

I followed an example in another repository and wrapped the directory structure within a pair of triple backticks (“`): “` project │ README.md │ file001.txt │ └───folder1 │ │ file011.txt │ │ file012.txt │ │ │ └───subfolder1 │ │ file111.txt │ │ file112.txt │ │ … │ └───folder2 │ file021.txt │ file022.txt “`

Unicode (UTF-8) reading and writing to files in Python

Rather than mess with .encode and .decode, specify the encoding when opening the file. The io module, added in Python 2.6, provides an io.open function, which allows specifying the file’s encoding. Supposing the file is encoded in UTF-8, we can use: >>> import io >>> f = io.open(“test”, mode=”r”, encoding=”utf-8″) Then f.read returns a decoded … Read more

Unicode, UTF, ASCII, ANSI format differences

Going down your list: “Unicode” isn’t an encoding, although unfortunately, a lot of documentation imprecisely uses it to refer to whichever Unicode encoding that particular system uses by default. On Windows and Java, this often means UTF-16; in many other places, it means UTF-8. Properly, Unicode refers to the abstract character set itself, not to … Read more

“Unicode Error “unicodeescape” codec can’t decode bytes… Cannot open text files in Python 3 [duplicate]

The problem is with the string “C:\Users\Eric\Desktop\beeline.txt” Here, \U in “C:\Users… starts an eight-character Unicode escape, such as \U00014321. In your code, the escape is followed by the character ‘s’, which is invalid. You either need to duplicate all backslashes: “C:\\Users\\Eric\\Desktop\\beeline.txt” Or prefix the string with r (to produce a raw string): r”C:\Users\Eric\Desktop\beeline.txt”

Error “(unicode error) ‘unicodeescape’ codec can’t decode bytes in position 2-3: truncated \UXXXXXXXX escape” [duplicate]

This error occurs, because you are using a normal string as a path. You can use one of the three following solutions to fix your problem: 1: Just put r before your normal string. It converts a normal string to a raw string: pandas.read_csv(r”C:\Users\DeePak\Desktop\myac.csv”) 2: pandas.read_csv(“C:/Users/DeePak/Desktop/myac.csv”) 3: pandas.read_csv(“C:\\Users\\DeePak\\Desktop\\myac.csv”)

How do I grep for all non-ASCII characters?

You can use the command: grep –color=”auto” -P -n “[\x80-\xFF]” file.xml This will give you the line number, and will highlight non-ascii chars in red. In some systems, depending on your settings, the above will not work, so you can grep by the inverse grep –color=”auto” -P -n “[^\x00-\x7F]” file.xml Note also, that the important … Read more