NumbaWhat is Numba?
It translates Python functions to optimized machine code at runtime using the industry-standard LLVM compiler library. It offers a range of options for parallelising Python code for CPUs and GPUs, often with only minor code changes.
Numba is a tool in the Development & Training Tools category of a tech stack.
Key Features
On-the-fly code generationNative code generation for the CPU (default) and GPU hardwareIntegration with the Python scientific software stack
Numba Pros & Cons
Pros of Numba
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Cons of Numba
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Numba Alternatives & Comparisons
What are some alternatives to Numba?
TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
PyTorch
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
scikit-learn
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
