What are the main differences between Numba and Pandas?
Numba is a just-in-time compiler that speeds up numerical functions, while Pandas is a library for data manipulation and analysis.
When should I use Numba instead of Pandas?
Use Numba when you need to optimize performance for numerical computations, especially with large datasets.
Can I use Numba with Pandas?
Yes, you can use Numba to accelerate functions that operate on data extracted from Pandas DataFrames.
What are some examples of tasks where Numba outperforms Pandas?
Numba excels in tasks like complex mathematical computations, simulations, and operations on large arrays.
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