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Autor(en): 
  • Hill Christian
  • Learning Scientific Programming with Python 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Oktober 2020  
    Genre:  EDV / Informatik 
     
    Computer Programming / Software Development / Computer programming / software engineering / COMPUTERS / Languages / General / COMPUTERS / Programming / General / COMPUTERS / Software Development & Engineering / General / Mathematical modelling / MATHEMATICS / Applied / Programming & scripting languages# general
    ISBN:  9781108745918 
    EAN-Code: 
    9781108745918 
    Verlag:  Cambridge Academic 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 243 mm / B 169 mm / D 27 mm 
    Gewicht:  1060 gr 
    Illustration:  Worked examples or Exercises 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Learn to master basic programming tasks from scratch with real-life, scientifically relevant examples and solutions drawn from both science and engineering. Students and researchers at all levels are increasingly turning to the powerful Python programming language as an alternative to commercial packages and this fast-paced introduction moves from the basics to advanced concepts in one complete volume, enabling readers to gain proficiency quickly. Beginning with general programming concepts such as loops and functions within the core Python 3 language, and moving on to the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualization, this textbook also discusses the use of Jupyter Notebooks to build rich-media, shareable documents for scientific analysis. The second edition features a new chapter on data analysis with the pandas library and comprehensive updates, and new exercises and examples. A final chapter introduces more advanced topics such as floating-point precision and algorithm stability, and extensive online resources support further study. This textbook represents a targeted package for students requiring a solid foundation in Python programming.

      
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