Provides a link to the list of encoding in Python

Better links

Added link to standard encodings in io html documentation

Removed link to Python2 documentations and left link to Python3 only

Author: Shashank Agarwal

doc/source/io.rst

@@ -165,7 +165,9 @@ They can take a number of arguments:
   - ``converters``: a dictionary of functions for converting values in certain
     columns, where keys are either integers or column labels
   - ``encoding``: a string representing the encoding to use for decoding
-    unicode data, e.g. ``'utf-8``` or ``'latin-1'``.
+    unicode data, e.g. ``'utf-8``` or ``'latin-1'``. `Full list of Python
+    standard encodings
+    <https://docs.python.org/3/library/codecs.html#standard-encodings>`_
   - ``verbose``: show number of NA values inserted in non-numeric columns
   - ``squeeze``: if True then output with only one column is turned into Series
   - ``error_bad_lines``: if False then any lines causing an error will be skipped :ref:`bad lines <io.bad_lines>`
@@ -372,7 +374,9 @@ result in byte strings being decoded to unicode in the result:
    df['word'][1]
 
 Some formats which encode all characters as multiple bytes, like UTF-16, won't
-parse correctly at all without specifying the encoding.
+parse correctly at all without specifying the encoding. `Full list of Python
+standard encodings 
+<https://docs.python.org/3/library/codecs.html#standard-encodings>`_
 
 .. _io.index_col:
 

pandas/io/parsers.py

@@ -132,7 +132,9 @@ class ParserWarning(Warning):
 delimiter : string, default None
     Alternative argument name for sep. Regular expressions are accepted.
 encoding : string, default None
-    Encoding to use for UTF when reading/writing (ex. 'utf-8')
+    Encoding to use for UTF when reading/writing (ex. 'utf-8'). `List of Python
+    standard encodings
+    <https://docs.python.org/3/library/codecs.html#standard-encodings>`_
 squeeze : boolean, default False
     If the parsed data only contains one column then return a Series
 na_filter : boolean, default True