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Autor(en): 
  • Sanjiban Sekhar Roy
  • Arnav Chouhan
  • Naman Khera
  • Python Fast Track: A Complete Guide to Rapidly Mastering and Applying Python Programming 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Juni 2025  
    Genre:  EDV / Informatik 
     
    Computer Programming / Software Development / Computer programming / software engineering / COMPUTERS / Data Science / Bioinformatics / COMPUTERS / Languages / General / COMPUTERS / Programming / General / COMPUTERS / Software Development & Engineering / General / Control Structures / Data Science
    ISBN:  9780443338236 
    EAN-Code: 
    9780443338236 
    Verlag:  Elsevier 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 229 mm / B 152 mm / D 10 mm 
    Gewicht:  300 gr 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Python Fast Track: A Complete Guide to Rapidly Mastering and Applying Python Programming adopts a simplified writing style and provides clear explanations to ensure ease of understanding, making it an ideal resource for those new to Python. Starting with the basics, the book covers fundamental concepts such as variables, data types, printing and prompting, lists, dictionaries, tuples, control structure, functions, and object-oriented concepts. The book includes everything you need to understand and apply more advanced programming techniques such as file handling, exception handling, and regex.

    This great resource is created especially for those who want to apply Python for their research and professional work in scientific computing, data analysis and machine learning, including chapters on NumPy and Pandas, two of the most popular Python application libraries. It demonstrates how to effectively master key applications of Python such as web development, software creation, task automation, and data analysis. The book covers data analysis and machine learning tasks that greatly benefit from Python, thanks to libraries such as TensorFlow and Keras that enable efficient coding.

      



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