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NumPy, the Python package for scientific computing, is an adolescent with prospects for a prolific maturity.
For example, NumPy works by wrapping high-speed C libraries in a Python interface, and Cython compiles Python to C with optional typing for accelerated performance.
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 MSNRegression in Python: How to Find Relationships in Your Data
The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...
Google has released a "major update" to the Google Cloud Python logging library for monitoring and troubleshooting Python-based containerized apps in the cloud and its serverless environments. The ...
You can embark on your own experimentation right now with this open source self-driving Python library. Granted, this is a library built for much smaller vehicles, but it’s still quite full ...
Overview: Python remains reliable for general programming, web development, and data analysis.Mojo offers high-speed ...
Want to control things with your mind? The Emotiv EPOCH EEG is one of the best pieces of hardware you can get that is ready to be hacked into your project. Too bad the entry-level SDK will set you … ...
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