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It also covers the array interface, datetimes and timedeltas, constants, universal functions with broadcasting and error handling, and a comprehensive set of routines for array creation, manipulation, operations, and I/O. 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It includes a dedicated section for the NumPy C-API, covering Python types and C structures, system configuration, data type API, array API, and ufunc API.","https://schema.org",{"og:url":78,"og:type":121,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":123,"canonical":78},"index,follow",{"doc_id":125,"site_id":56},572049,1792170897,{"code":4,"msg":5,"data":128},{"doc_id":125,"user_id":129,"nickname":88,"user_avatar":130,"doc_module":9,"category_id":50,"category_name":51,"doc_title":59,"doc_description":61,"doc_content":131,"file_id":132,"file_url":133,"file_type":134,"file_size":135,"view_count":101,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":136,"language":137,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":138,"faqs":139,"seo_title":140,"seo_description":61,"update_tm":141,"read_time":142},1374404730887,"https://ap-avatar.wpscdn.com/davatar_6f874abed73319feea01a86fa6f0fab8","NumPy Reference  \nRelease 1.20.0  \nWritten by the NumPy community  \nJanuary 31, 2021  \nCONTENTS  \n1 Array objects 3  \n1.1 The N-dimensional array (ndarray) .................................. 3  \n1.2 Scalars . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56  \n1.3 Data type objects (dtype) ........................................ 70  \n1.4 Indexing ................................................. 88  \n1.5 Iterating Over Arrays ........................................... 95  \n1.6 Standard array subclasses ......................................... 108  \n1.7 Masked arrays .............................................. 233  \n1.8 The Array Interface ............................................ 421  \n1.9 Datetimes and Timedeltas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 426  \n2 Constants 433  \n3 Universal functions (ufunc) 441  \n3.1 Broadcasting ............................................... 441  \n3.2 Output type determination ........................................ 442  \n3.3 Use of internal buffers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 442  \n3.4 Error handling .............................................. 443  \n3.5 Casting Rules ............................................... 446  \n3.6 Overriding Ufunc behavior ........................................ 447  \n3.7 ufunc .................................................. 448  \n3. 8 Available ufuncs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 463  \n4 Routines 469  \n4.1 Array creation routines .......................................... 469  \n4.2 Array manipulation routines ....................................... 523  \n4.3 Binary operations ............................................. 577  \n4.4 String operations ............................................. 590  \n4.5 C-Types Foreign Function Interface (numpy.ctypeslib) ...................... 646  \n4.6 Datetime Support Functions ....................................... 648  \n4.7 Data type routines ............................................ 656  \n4.8 Optionally SciPy-accelerated routines (numpy.dual) ......................... 676  \n4.9 Mathematical functions with automatic domain (numpy.emath) ................... 677  \n4.10 Floating point error handling ....................................... 684  \n4.11 Discrete Fourier Transform (numpy.fft) ............................... 689  \n4.12 Functional programming ......................................... 718  \n4.13 NumPy-specific help functions ...................................... 726  \n4.14 Indexing routines ............................................. 729  \n4.15 Input and output ............................................. 777  \n4.16 Linear algebra (numpy.linalg) .................................... 810  \n4.17 Logic functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 863  \n4. 18 Mathematical functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 893  \n4.19 Matrix library (numpy.matlib) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1006  \n4.20 Miscellaneous routines . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1013  \n4.21 Padding Arrays .............................................. 1022  \n4.22 Polynomials ................................................ 1026  \n4.23 Random sampling (numpy.random) .................................. 1252  \n4.24 Set routines . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1513  \n4.25 Sorting, searching, and counting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1519  \n4.26 Statistics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1539  \n4.27 Test Support (numpy.testing) . . . . . . . . . . . . . . . . . ","cbCaivj7868EufZP","https://ap.wps.com/l/cbCaivj7868EufZP","pdf",7362241,1865,"English","# Contents\n## Array objects\n## Constants\n## Universal functions (ufunc)\n## Routines\n## Typing (numpy.typing)\n## Global State\n## Packaging (numpy.distutils)\n## NumPy Distutils-Users Guide\n## NumPy C-API","[{\"question\":\"What is included in the NumPy Reference guide?\",\"answer\":\"It organizes NumPy documentation topics into sections covering arrays, constants, universal functions, routines, typing, global state options, packaging, the Distutils user guide, and the C-API.\"},{\"question\":\"Which topics are covered under universal functions (ufunc)?\",\"answer\":\"The guide includes broadcasting, output type determination, internal buffers, error handling, casting rules, overriding ufunc behavior, and the available ufuncs.\"},{\"question\":\"Does the reference include information for low-level integration?\",\"answer\":\"Yes. It includes a dedicated section for the NumPy C-API, covering Python types and C structures, system configuration, data type API, array API, and ufunc API.\"}]","NumPy Reference - Release 1.20.0 - Contents overview | PDF",1791925258,653]