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        "author": "Zeke Barge",
        "author_email": "zekebarge@gmail.com",
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            "Intended Audience :: Developers",
            "License :: OSI Approved :: Apache Software License",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Topic :: Internet :: WWW/HTTP :: Dynamic Content",
            "Topic :: Software Development :: Libraries :: Application Frameworks",
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        "description": "ListWise - Python REST API Wrapper for ListWise email validation.\n=================================================================\n\nIn order to use all of the features of this package you must have an active subscription with listwisehq.\nhttps://www.listwisehq.com/email-address-cleaner/index.php\n\nThis packaged was developed during my employment with Kennedy Marketing Group.\nThanks to them for giving me permission to open-source this.\n\nlistwise enables users to easily clean email addresses via the ListWise REST API.\n\nConnecting to the API\n======================\n\nlistw = listwise.ListWise(\"C:/listwise_data.db\", username, api_key)\n\n\nOne-off email validation\n=========================\nemail = 'zekebarge@gmail.com'\n\ndeep_cleaned = listw.deep_clean_one(email)\n\nquick_cleaned = listw.quick_clean_one(email)\n\nlistw.db.con.commit() #To commit your updates to the database\n\n\n\nBulk e-mail validation using Pandas\n====================================\nimport pandas as pd\n\ndf = pd.read_csv(\"C:/path/to/file.csv\")\n\n#All updates are automatically committed to SQLite.\n\ndeep_cleaned_df = listw.deep_clean_frame(df)\n\nquick_cleaned_df = listw.quick_clean_frame(df)",
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        "keywords": "email validation parsing cleaning cleansing",
        "license": "Apache Software License",
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        "summary": "ListWise.com email validation wrapper.",
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