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DESCRIPTION:The book begins by building a strong programming foundation—covering Python’s architecture, essential syntax, data structures, modules, functions, control flow, and object-oriented design.
Readers learn not only how to write Python, but why the language behaves the way it does, ensuring deep understanding and strong problem-solving skills.
From there, the focus shifts to practical engineering tools.
Dedicated chapters train readers in file handling, math modules, and key scientific libraries including NumPy, SciPy, Pandas, and Matplotlib, enabling efficient computation, signal processing, data analysis, and high-quality visualization.
Advanced chapters then showcase Python’s versatility through GUI development with Kivy, database work with SQLAlchemy, and hands-on control system modeling and analysis.
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