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milaan9 / 09_Python_NumPy_Module

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Numpy is a general-purpose array-processing package. It provides a high-performance multidimensional array object and tools for working with these arrays. It is the fundamental package for scientific computing with Python. Besides its obvious scientific uses, Numpy can also be used as an efficient multi-dimensional container of generic data.

python-tutorials numpy ipython-notebook array-methods numpy-tutorial array-manipulations python4beginner numpy-exercises numpy-arrays array-indexing numpy-matrix python-tutorial-notebook python-tutor python4everybody python-tutorial-github python4datascience numpy-exercise-solutions array-math array-reorganizing tutor-milaan9
  • Updated Dec 9, 2022
  • Jupyter Notebook

fotisk07 / Deep-Learning-Coursera

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Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera

deep-neural-networks ai deep-learning neural-network tensorflow keras jupyter-notebook rnn matplotlib gradient-descent backpropagation-learning-algorithm music-generation backpropagation keras-neural-networks poetry-generator numpy-tutorial lstm-neural-networks cnn-for-visual-recognition deeplearning-ai cnn-classification
  • Updated Sep 8, 2018
  • Jupyter Notebook

reddyprasade / Numpy-with-Python

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NumPy is the fundamental package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object sophisticated (broadcasting) functions tools for integrating C/C++ and Fortran code useful linear algebra, Fourier transform, and random number capabilities

numpy numpy-tutorial numpy-exercises numpy-arrays numpy-library numpy-matrix numpy-with-python numpy-array-creation numpy-data-acessing
  • Updated Jan 22, 2024
  • Jupyter Notebook

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