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Sandeep Nagar

    Introduction to Python for Engineers and Scientists
    Beginning Julia Programming
    Introduction to MATLAB for Engineers and Scientists
    Introduction to Octave
    • Introduction to MATLAB for Engineers and Scientists

      Solutions for Numerical Computation and Modeling

      • 232pagine
      • 9 ore di lettura

      Focused on hands-on coding, this practical tutorial introduces MATLAB by guiding readers through essential concepts. It begins with the fundamentals and progresses to array-based computing, plotting, file handling, and numerical computation. Key topics include approximations, making it an ideal resource for those looking to grasp MATLAB through direct application and coding exercises.

      Introduction to MATLAB for Engineers and Scientists
    • Beginning Julia Programming

      For Engineers and Scientists

      • 376pagine
      • 14 ore di lettura

      Focusing on engineering and numerical computing, this guide introduces Julia as a powerful tool for data science, machine learning, and scientific applications. It highlights Julia's user-friendly syntax comparable to R, Python, and MATLAB, while offering the performance of C and Java. Readers will explore object-oriented programming principles, basic mathematics, and advanced functionalities, including operations with complex, rational, and irrational numbers, as well as rings and fields.

      Beginning Julia Programming
    • Introduction to Python for Engineers and Scientists

      Open Source Solutions for Numerical Computation

      • 276pagine
      • 10 ore di lettura

      This practical tutorial offers a concise introduction to Python tailored for engineering and scientific computations. Emphasizing hands-on coding, it guides readers through essential concepts, making it an ideal resource for those looking to enhance their programming skills in a technical context.

      Introduction to Python for Engineers and Scientists