關於本電子書
Math Code Projects unveils the synergy between mathematics and programming, demonstrating how coding can illuminate complex mathematical principles. By actively engaging with concepts like number theory, linear algebra, and calculus through Python, readers can transform passive learning into active discovery. The book showcases how number theory underpins cryptography for secure communication and how linear algebra facilitates image processing and data analysis.
This book uniquely emphasizes hands-on learning. Starting with Python fundamentals, it progresses through mathematical domains, offering step-by-step code examples and practical projects. Each chapter builds upon the previous one, culminating in advanced projects that integrate multiple mathematical disciplines, such as simulating physical phenomena or creating optimization algorithms.
By blending mathematical theory with computational experiments, Math Code Projects connects computer science, physics, and data science. Readers gain an intuitive understanding of abstract concepts, enhancing problem-solving skills applicable in cryptography, data analysis, and scientific simulations.
This book uniquely emphasizes hands-on learning. Starting with Python fundamentals, it progresses through mathematical domains, offering step-by-step code examples and practical projects. Each chapter builds upon the previous one, culminating in advanced projects that integrate multiple mathematical disciplines, such as simulating physical phenomena or creating optimization algorithms.
By blending mathematical theory with computational experiments, Math Code Projects connects computer science, physics, and data science. Readers gain an intuitive understanding of abstract concepts, enhancing problem-solving skills applicable in cryptography, data analysis, and scientific simulations.
為這本電子書評分
歡迎提供意見。
閱讀資訊
智慧型手機與平板電腦
筆記型電腦和電腦
你可以使用電腦的網路瀏覽器聆聽你在 Google Play 購買的有聲書。
電子書閱讀器與其他裝置
如要在 Kobo 電子閱讀器這類電子書裝置上閱覽書籍，必須將檔案下載並傳輸到該裝置上。請按照說明中心的詳細操作說明，將檔案傳輸到支援的電子閱讀器上。
