Pandas vs. NumPy

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What is Pandas?

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.

What is NumPy?

Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

Want advice about which of these to choose?Ask the StackShare community!

Why do developers choose Pandas?
Why do you like Pandas?

Why do developers choose NumPy?
Why do you like NumPy?

What are the cons of using Pandas?
No Cons submitted yet for Pandas
Downsides of Pandas?

What are the cons of using NumPy?
No Cons submitted yet for NumPy
Downsides of NumPy?

How much does Pandas cost?
How much does NumPy cost?
What companies use Pandas?
100 companies on StackShare use Pandas
What companies use NumPy?
77 companies on StackShare use NumPy
What tools integrate with Pandas?
2 tools on StackShare integrate with Pandas
What tools integrate with NumPy?
3 tools on StackShare integrate with NumPy
Pandas: Framing the Data

Interest Over Time