As a data analyst at a large company, I often find myself working with SQL and some SAS code to query databases from various sources like Teradata, Oracle, and even Google Cloud Platform. My main focus is on providing insights that can help optimize and increase revenue for the business. I've been hearing a lot about Python and its benefits, particularly in terms of automation. However, I'm skeptical about whether investing my time to learn Python is truly necessary compared to sticking with SQL. Can anyone weigh in on the advantages of Python over SQL and SAS for someone in my position?
1 Answer
Python has been a top programming language for years, not just a recent trend! It's really versatile compared to SQL, which is limited to querying databases. You can use Python for data analysis, automation, and even visualization. Plus, there are awesome tools like Jupyter Lab where you can write code and see your results visually, which feels like SQL but offers much more flexibility.
It seems like the OP might not be aware of how powerful Python really is! Just because SQL works doesn't mean you can’t benefit from Python.