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  • NumPy - Installing NumPy
    The only prerequisite for installing NumPy is Python itself If you don’t have Python yet and want the simplest way to get started, we recommend you use the Anaconda Distribution - it includes Python, NumPy, and many other commonly used packages for scientific computing and data science
  • NumPy - Learn
    Below is a curated collection of educational resources, both for self-learning and teaching others, developed by NumPy contributors and vetted by the community
  • NumPy Documentation
    NumPy 1 20 Manual [HTML+zip] [Reference Guide PDF] [User Guide PDF] NumPy 1 19 Manual [HTML+zip] [Reference Guide PDF] [User Guide PDF] NumPy 1 18 Manual [HTML+zip] [Reference Guide PDF] [User Guide PDF] NumPy 1 17 Manual [HTML+zip] [Reference Guide PDF] [User Guide PDF] NumPy 1 16 Manual [HTML+zip] [Reference Guide PDF] [User Guide PDF] NumPy
  • Indexing on ndarrays — NumPy v2. 3 Manual
    The native NumPy indexing type is intp and may differ from the default integer array type intp is the smallest data type sufficient to safely index any array; for advanced indexing it may be faster than other types
  • Broadcasting — NumPy v2. 3 Manual
    The term broadcasting describes how NumPy treats arrays with different shapes during arithmetic operations Subject to certain constraints, the smaller array is “broadcast” across the larger array so that they have compatible shapes
  • NumPy fundamentals — NumPy v2. 3 Manual
    These documents clarify concepts, design decisions, and technical constraints in NumPy This is a great place to understand the fundamental NumPy ideas and philosophy


















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