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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.

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.