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I am utilizing the <code>pandas</code> library to read and write CSV files in order to access the inputted CSV files. From there, I am simplifying the names of the companies using several functions from the aiding program, glink, to get rid of company identifiers such as "Co., INC., LLC., etc. and form the company names in a manner that is accessible by the Google Search API.
<code>fec['name_clean'] = fec["newname"].map(glink.remCorp)
## #define a new column with clean names
fec['download_status'] = fec['name_clean'].map(glink.gdownload)</code>
'''7/5: Eventbrite API First-Take'''
