Python Applications In Chemical Engineering Process Simulation Optimization And Data Analysis(1st Edition)
Authors:
G.O. Ashaka
In Stock: 2 Left
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Expected shipping within 2 - 3 DaysPopular items with books
Total Price:
$0
Solution Manual Includes
Price:
$9.99
Book details
ISBN: B0CH2GWW5Z, 979-8860165069
Book publisher: Independently Published
Book Price $0 : Python Applications in Chemical Engineering by G.O. Ashaka serves as an essential guide for professionals and students seeking to bridge the gap between chemical engineering principles and modern computational techniques. The book expertly integrates Python programming into the field of chemical engineering to aid in process simulation, optimization, and data analysis, which are crucial tasks in enhancing industrial processes. Emphasizing the practical applications of Python, the book covers detailed methodologies for developing computational models and simulations that can solve complex engineering problems. It provides a hands-on approach, making it a valuable tool not only for theoretical understanding but also for practical implementation. This comprehensive guide is designed to deliver clear, structured explanations of chemical engineering concepts illustrated with Python scripts, demonstrating how tools like NumPy, SciPy, and pandas can be utilized effectively. Engineers and data analysts can greatly benefit from the 'solution manual' and the 'Answer Key' provided, which step through complex tasks, ensuring deep understanding and application of concepts. Furthermore, the 'table of contents' is meticulously organized to facilitate easy navigation through topics, enabling readers to find pertinent information in a structured manner. This makes the book a preferred choice for individuals looking to enhance their technical skills and understanding of sustainable engineering processes. By lacing specific examples and real-world applications throughout the text, Ashaka provides a robust analytical framework to optimize chemical engineering operations. Designed with cost-efficiency in mind, this cheap manual supports sustainable academic sharing.
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