Numba vs TensorFlow: Which is better for numerical computing?

What are the main differences between Numba and TensorFlow?

Numba is a just-in-time compiler for Python that accelerates numerical functions, while TensorFlow is a comprehensive library for machine learning and deep learning.

When should I use Numba instead of TensorFlow?

Use Numba for high-performance numerical computations that don't require deep learning features. TensorFlow is better for building and training neural networks.

Can I use Numba with TensorFlow?

Yes, you can use Numba to accelerate certain numerical computations in your TensorFlow models, especially for preprocessing data.

What are the performance benchmarks for both?

Performance can vary based on the task. Numba often excels in simple numerical tasks, while TensorFlow is optimized for large-scale machine learning tasks.