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Essential Modules/Libraries

In our tutorial, we will be using tons of packages & libraries, but below are the list of the most essential modules/libraries in Python.

  • numpy: The matrix / numerical analysis layer at the bottom 
  • scipy: Scientific computing utilities (linalg, FFT, signal/image processing…)
  • sklearn: Machine learning (our focus here) • 
  • matplotlib: Plotting and visualization 
  • opencv: Computer vision 
  • pandas: Data analysis 
  • caffe, theano, minerva: Deep neural networks 
  • spyder: The front end (Scientific Python Development Environment)
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