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  • NumPy
    Manipulate JSON-like data with NumPy-like idioms uarray: Python backend system that decouples API from implementation; unumpy provides a NumPy API tensorly: Tensor learning, algebra and backends to seamlessly use NumPy, PyTorch, TensorFlow or CuPy
  • NumPy - Installing NumPy
    The recommended method of installing NumPy depends on your preferred workflow Below, we break down the installation methods into the following categories: Project-based (e g , uv, pixi) (recommended for new users)
  • What is NumPy? — NumPy v2. 3 Manual
    NumPy arrays facilitate advanced mathematical and other types of operations on large numbers of data Typically, such operations are executed more efficiently and with less code than is possible using Python’s built-in sequences
  • Array creation — NumPy v2. 3 Manual
    NumPy is the fundamental library for array containers in the Python Scientific Computing stack Many Python libraries, including SciPy, Pandas, and OpenCV, use NumPy ndarrays as the common format for data exchange, These libraries can create, operate on, and work with NumPy arrays
  • numpy. random. Generator. choice — NumPy v2. 3 Manual
    numpy random Generator choice# method random Generator choice (a, size = None, replace = True, p = None, axis = 0, shuffle = True) # Generates a random sample from a given array Parameters: a {array_like, int} If an ndarray, a random sample is generated from its elements If an int, the random sample is generated from np arange(a)
  • Polynomials — NumPy v2. 3 Manual
    Polynomials in NumPy can be created, manipulated, and even fitted using the convenience classes of the numpy polynomial package, introduced in NumPy 1 4 Prior to NumPy 1 4, numpy poly1d was the class of choice and it is still available in order to maintain backward compatibility
  • numpy. exp — NumPy v2. 3 Manual
    numpy exp# numpy exp ( x , , out=None , * , where=True , casting='same_kind' , order='K' , dtype=None , subok=True [ , signature ] ) = <ufunc 'exp'> # Calculate the exponential of all elements in the input array
  • Release notes — NumPy v2. 3 Manual
    What is NumPy? Installation; NumPy quickstart; NumPy: the absolute basics for beginners; Fundamentals and usage NumPy fundamentals; NumPy for MATLAB users; NumPy tutorials; NumPy how-tos; Advanced usage and interoperability Using NumPy C-API; F2PY user guide and reference manual; Under-the-hood documentation for developers; Interoperability


















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