Master calculus 2 using Python: integration, intuition, code
Mike X Cohen
Theory, numerical approximations, intuition, and visualization in integral calculus. Enhance your math-coding skills.
입문
Python, Numpy, Integral Differential
Develop a deep understanding and intuition for calculus. Solve problems and implement algorithms by hand and in Python.
29 learners
Level Beginner
Course period Unlimited
Understand differential calculus
Explore mathematical functions – rational, polynomial, transcendantal, trig
Limits and tricks for solving limits problems
Differentiation rules and proofs
Tips and tricks for differentiation
Python (NumPy and SymPy)
Practice applied calculus
Visualizing math functions (matplotlib)
Who is this course right for?
Mathematicians who want to implement math in code
Anyone who wants to understand calculus intuitively and through real applications
Coders who want to use Python to learn math
Those looking for a modern, practical approach rather than traditional chalkboard-style lectures
Students who want to review or rebuild their understanding of college-level calculus
Anyone seeking a brain-stimulating hobby
62
Learners
6
Reviews
5.0
Rating
2
Courses
Independent educator, ex-neuroscience professor. I make courses and write self-paced textbooks on applied math, coding (Python and MATLAB), data science, machine-learning, deep learning, and LLM mechanisms.
My motto is "you can learn a lot of math with a bit of coding."
저는 독립 교육자로 일하고 있으며, 이전에는 신경과학 교수로 활동했습니다.
응용수학, 코딩 (Python 및 MATLAB), 데이터 사이언스, 머신러닝, 딥러닝, 그리고 LLM 메커니즘에 관한 강의와 자기주도 학습용 교재를 제작하고 있습니다.
저의 모토는 간단합니다. "코딩을 조금만 할 줄 알면, 수학을 훨씬 쉽고 많이 배울 수 있다."
All
175 lectures ∙ (41hr 15min)
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$53.90
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