Scenario: Your team is working with data where dates are caputred as a string, "9/15/2019". You are tasked to create a python function named 'mdy_date' that will accept a string input, convert it to a python datetime object, and return the datetime object. Create the function in the cell below.
Scenario: Your team is working with data where dates are caputred as a string, "9/15/2019". You are tasked to create a python function named 'mdy_date' that will accept a string input, convert it to a python datetime object, and return the datetime object. Create the function in the cell below.
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Scenario: Your team is working with data where dates are caputred as a string, "9/15/2019". You are tasked to create a python function named 'mdy_date' that will accept a string input, convert it to a python datetime object, and return the datetime object. Create the function in the cell below.

Transcribed Image Text:# write the code for your mdy_date function here:
mdy_date("9/15/2019")
# Do not change anything in this cell.
# Running this cell should return the exact output:
# datetime.datetime (2019, 9, 15, 0, 0)
NameError
<ipython-input-4-8f1f9caacf78> in <module>
---->1 mdy_date("9/15/2019")
Traceback (most recent call last)
2 # Do not change anything in this cell.
3 # Running this cell should return the exact output:
4 # datetime.datetime (2019, 9, 15, 0, 0)
NameError: name 'mdy_date' is not defined
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