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NumPy, the Python package for scientific computing, is an adolescent with prospects for a prolific maturity.
With Python and NumPy getting lots of exposure lately, I'll show how to use those tools to build a simple feed-forward neural network.
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How-To Geek on MSNHow to Use Libraries in Python to Do More With Less Code
Libraries are collections of shared code. They're common in Python, where they're also called "modules," but they're also ...
Resource loading optimization is the first step in improving frontend performance, and the Python backend plays a key role as the "resource scheduler". For static resources (CSS, JS, images), ...
Want faster number-crunching in Python? You can speed up your existing Python code with the Numba JIT, often with only one instruction.
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