SciPy Programming Succinctly

Recommendation numbered, Nº: 25042020p1

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James McCaffrey’s SciPy Programming Succinctly offers readers a quick, thorough grounding in knowledge of the Python open source extension SciPy. The SciPy library, accompanied by its interdependent NumPy, offers Python programmers advanced functions that work with arrays and matrices. Each section presents a complete demo program for programmers to experiment with, carefully chosen examples to best illustrate each function, and resources for further learning. Use this e-book to install and edit SciPy, and use arrays, matrices, and combinatorics in Python programming.


  • Getting Started
  • Arrays
  • Matrices
  • Combinatorics
  • Miscellaneous Topics


[Unofficial biography. For informational purposes only]

” James McCaffrey works for Microsoft Research in Redmond, Wash. He holds a B.A. in psychology from the University of California at Irvine, a B.A. in applied mathematics from California State University at Fullerton, an M.S. in information systems from Hawaii Pacific University, and a doctorate in cognitive psychology and computational statistics from the University of Southern California. James enjoys exploring all forms of activity that involve human interaction and combinatorial mathematics, such as the analysis of betting behavior associated with professional sports, machine learning algorithms, and data mining “. Source: []. Picture credits snapshot from[]. Personal blog: []

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Thank you very much for this work to @Syncfusion, and via @States_AI_IA #scipy #python #programming #datascience #ebook #free #openscience #openaccess #ai #artificialintelligence #ia #thebibleai

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