Text Generator
Text Generator > Use Cases >Python to natural language

Python to natural language

Explain a piece of Python code in human understandable language.

Example input

  • # Python 3 def remove_common_prefix(x, prefix, ws_prefix): x["completion"] = x["completion"].str[len(prefix) :] if ws_prefix: # keep the single whitespace as prefix x["completion"] = " " + x["completion"] return x # Explanation of what the code does #

Example real generated results

  • star

    ### 1 - The first line in this file is used to identify when we want a function ## call. If we're not given any parameters it will attempt an error and raise. if __name__ == '__main__': print ("Usage:") ## python test_python_loader.py path_to_file_name #print type(

  • star

    ## Make a list from an empty dict and add strings to it (with spaces) ## Remove any common characters in string using regular expressions #### >>> l=[dict() for i in range(0, len(i)) ] ### Removing duplicate values based on dictionary key ###### Example with same keys but different values:

  • star

    Take a complete string s="this is one test". c=remove_common_prefix(s[:-1]) print c

  • star

    ## ### Create a list comprehension to look for common words in each word class. ### Returns dictionary with keys being classes and values that lists all matching keywords (strings). import operator def find_kwds(): resultDict={'classes':[]} while 1: kvpObj=

try it yourself: Text Generator Playground - Python to natural language