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semeiology    
n. 症状学,符号学

症状学,符号学

semeiology
符号( 语言 )学; 症状学


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英文字典中文字典相关资料:


  • NumPy
    Nearly every scientist working in Python draws on the power of NumPy NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use
  • 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: the absolute basics for beginners — NumPy v2. 3 Manual
    When it comes to the data science ecosystem, Python and NumPy are built with the user in mind One of the best examples of this is the built-in access to documentation
  • 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
  • What is NumPy? — NumPy v2. 3 Manual
    What is NumPy? # NumPy is the fundamental package for scientific computing in Python
  • 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
  • NumPy quickstart — NumPy v2. 3 Manual
    NumPy offers more indexing facilities than regular Python sequences In addition to indexing by integers and slices, as we saw before, arrays can be indexed by arrays of integers and arrays of booleans
  • NumPy user guide — NumPy v2. 3 Manual
    NumPy user guide # This guide is an overview and explains the important features; details are found in NumPy reference
  • numpy. where — NumPy v2. 3 Manual
    numpy where # numpy where(condition, [x, y, ] ) # Return elements chosen from x or y depending on condition





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