Pandas provides data structures for data wrangling, DataFrame being the most popular. A database is a data persistence mechanism along with data manipulation. The two serve different purposes. read more
I used to use both of them, but now completely rely on Pandas, or Python in general. There are dozens of SQL wrapper in Python. More importantly, I use Pandas for 1) much easier statistically analysis 2) data visualization. read more
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