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Python For Engineering and Scientific Computing. Practical Applications with NumPy, SciPy, Matplotlib, and More Rheinwerk Publishing, Inc, Veit Steinkamp

(ebook) (audiobook) (audiobook) Język publikacji: angielski
Python For Engineering and Scientific Computing. Practical Applications with NumPy, SciPy, Matplotlib, and More Rheinwerk Publishing, Inc, Veit Steinkamp - okladka książki

Python For Engineering and Scientific Computing. Practical Applications with NumPy, SciPy, Matplotlib, and More Rheinwerk Publishing, Inc, Veit Steinkamp - okladka książki

Python For Engineering and Scientific Computing. Practical Applications with NumPy, SciPy, Matplotlib, and More Rheinwerk Publishing, Inc, Veit Steinkamp - audiobook MP3

Python For Engineering and Scientific Computing. Practical Applications with NumPy, SciPy, Matplotlib, and More Rheinwerk Publishing, Inc, Veit Steinkamp - audiobook CD

Autorzy:
Rheinwerk Publishing, Inc, Veit Steinkamp
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
515
Dostępne formaty:
     PDF
     ePub

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Do przechowalni

This book provides a thorough introduction to Python programming designed for engineers and scientists. It begins with foundational topics like development environments and program structures, then introduces key Python libraries such as NumPy, SymPy, SciPy, Matplotlib, and VPython. Clear explanations and practical exercises help readers write efficient, well-structured code while progressing through increasingly complex projects.
The content covers core programming paradigms including functions, branching, and object-oriented design, followed by numerical analysis with NumPy and symbolic math with SymPy. Detailed chapters on data visualization with Matplotlib and 3D animations with VPython enhance comprehension. Additional focus on statistical computations, Boolean algebra, and interactive GUI programming with Tkinter prepares readers for real-world applications. Each chapter ends with project tasks reinforcing hands-on learning.
Throughout the book, readers build a strong skill set combining programming expertise and scientific problem-solving. By the end, they will confidently use Python’s libraries to solve diverse engineering and scientific challenges. This practical, project-based approach ensures knowledge is both solid and immediately useful in research and professional work.

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O autorze książki

Dr. Veit Steinkamp studied electrical engineering and German to become a teacher and pass on his knowledge at vocational schools and technical colleges. He teaches electrical engineering, application development, and mechanical engineering technology. He has also taught theoretical electrical engineering and the fundamentals of electrical engineering.

Rheinwerk Publishing, Inc, Veit Steinkamp - pozostałe książki

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