Automate Your Marketing Tasks: Python Tools for Digital Marketers
Python is an effective tool for solving problems. Fortunately, you don’t have to be a data scientist or data engineer to know how to use Python for automating marketing tasks like reporting, audience segmentation, or data analysis.
Kateryna Koidan writes that Python can be a benefit to marketers because of “it’s simplicity and understandability, it can benefit even those with minimal coding experience.”
My list below isn’t meant to be an exhaustive list. It’s a brief list of some of the libraries I find useful for everyday tasks for marketers.
Python libraries are pieces of reusable code. Python ships with a rich standard library, with a set of core tasks. There are thousands of libraries for more special purposes that go beyond this article.
New to Python? Please read Automate the Boring Stuff to understand the basics of Python as well as installation of libraries. It’s a go-to resource for beginners wanting to learn Python for any field.
Additionally, Stock overflow is also a great resource.
Even professional coders use Stock overflow regularly.
Pandas
Pandas is a library used for data manipulation and analysis. It makes data analysis much easier, especially for large datasets. It works fairly well with software like Microsoft Excel.
Webscraping with Beautiful soup
googleanalytics
googlesearch
Seaborn
Communicating your findings visually requires a library that help you tell stories. Seaborn is a great assortment of options to display your code beautifully.
Python Graph Gallery has tons of resources for inspiration.
Pytrends & Google Trends
Did I miss any libraries that you find useful? Having Issues?>
Write them in the comments below.
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For example, I made a data visualization with common metatags found in news websites.
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