SyntaxError: (unicode error) 'unicodeescape' codec can't decode bytes in position 0-4: truncated \uXXXX escape code example

Example 1: UnicodeDecodeError: 'utf-8' codec can't decode byte invalid start byte

# Use 'ISO-8859-1' instead of "utf-8" for decoding
text = open(fn, 'rb').read().decode('ISO-8859-1')

Example 2: UnicodeDecodeError: 'utf-8' codec can't decode byte 0xe7 in position 5: invalid continuation byte

pd.read_csv('ml-100k/u.item', sep='|', names=m_cols , encoding='latin-1')

Example 3: SyntaxError: (unicode error) 'unicodeescape' codec can't decode bytes in position 15-16: truncated \UXXXXXXXX escape

"c:\\user\\path\\to\\file"
r"c:\user\path\to\file
# this happens because \u is the default escape code for unicode and is fixed
# either by using double slashes (no \u anymore) or converting to raw string

Example 4: SyntaxError: (unicode error) 'unicodeescape' codec can't decode bytes in position 2-3: truncated \UXXXXXXXX escape” Code Answer

pandas.read_csv(r"C:\Users\DeePak\Desktop\myac.csv")
pandas.read_csv(r'C:\Users\DeePak\Desktop\myac.csv')
pandas.read_csv('C:/Users/DeePak/Desktop/myac.csv')
pandas.read_csv('C:\\Users\\DeePak\\Desktop\\myac.csv')