This might be an edge case, but it would be nice to be able to parse a file using a Regex in the Text to Columns Tool, or specifying a delimiter as a Regex:
Consider the following pandas code where one can easily pull in a file with a bad delimiter
In Alteryx, you would be forced to read in the file with no delimiter, and set the field length to be extremely long, and parse out the contents manually.
filename = "http://daniels-pull.universityofdenv.netdna-cdn.com/assets/GeneralOccurrencesAll.csv"
df = pd.read_csv(filename, sep=r',(?!\s)')