Calculus Unraveled: Intuition, Proofs and Python by Mike X Cohen(.PDF)
File Size: 39.2 MB
Calculus Unraveled: Intuition, Proofs, and Python by Mike X Cohen
Requirements: .PDF reader, 39.2 MB
Overview: Transform your calculus skills with modern Python coding. Take your understanding of calculus to a whole new level with this hands-on, Python-based textbook by educator and neuroscientist Dr. Mike X Cohen. Spanning 605 pages and featuring 162 creative coding exercises, this book goes far beyond rote learning and memorization. Instead, you’ll build a deep, intuitive knowledge of calculus through modern computational methods that are applicable in machine learning, data science, engineering, physics, computational biology, and more. In this book, I use Python, because it is one of the most popular languages for modern applied math (statistics, Machine Learning, Deep Learning, etc). I’m pretty sure it won’t always be so popular; some other language will be developed that is better, easier, and faster. But the good news is that all programming languages share some similarities, so learning calculus in Python will help you apply math in any other language. For students needing a supplementary resource to a standard calculus curriculum, Data Scientists, Engineers, and Tech Professionals craving deeper math fundamentals for Machine Learning, computational biology, or financial modeling, using libraries like SymPy, NumPy, SciPy, and Matplotlib.
Genre: Non-Fiction > Tech & Devices
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