This course is designed for the Python programmer who wants to develop the foundations of Calculus to help solve challenging problems as well as the student of mathematics looking to learn the theory and numerical techniques of applied calculus implemented in Python. By the end of this course, you will have learned how to apply essential calculus concepts to develop robust Python applications that solve a variety of real-world challenges. Video lectures, readings, worked examples, assessments, and Python code are all provided in the course. These are used to illustrate techniques to solve equations, work with functions, and compute and apply derivatives and integrals. If you are interested in starting to develop concepts in fields such as applied math, data science, cybersecurity, or artificial intelligence, or just need a refresher of calculus or coding in Python, then this course is right for you.
MD
The mix of Python & Calculus is a special feature. I learned a lot.
KH
Cuts through the tediousness of math to get through the concepts of calculus. Good for continuing learning.
CN
A relaxed reintroduction to calculus with an approachable way to use SymPy to solve calculus problems.
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A great course! I loved the combination of Python and Calculus. I do recommend going through Dr. Cutrone's other calculus courses first, since there's a few discontinuities in the course flow. Those who are new to calculus might struggle a bit.
A relaxed reintroduction to calculus with an approachable way to use SymPy to solve calculus problems.
It is one of the best courses in what is described on the syllabus. The teaching material is quite well organized providing amazing learning process in Python programming with Sympy. The first week a brief introduction to Numpy is provided with emphasis on what is important from Python programming to remember. It is not an introductory course neither in Python nor in mathematics.
The course gives a first idea on how the differential and integral calculus can be applied in business economics and in the training on numerical computations either by hand or by algorithm writing. Further, it gives a good understanding in numbers rounding that is important in computations. After each video lecture before the quizzes there is review theory and several short examples on programming for personal improvement. Thanks John-Hopkins University for this interesting skillset.
The course provides insights on solving the problems of Limits and Continuity, Differential and Integral Calculus, and Riemann Sums along with in-depth solved examples using real-world problems... Basic knowledge of Python and Calculus is handy although Calculus concepts are taught formally in this course. I had zero knowledge of Python, but I followed an hour basics video from Programming by Mosh and it was enough for me to continue with the course... HIGHLY RECOMMEND
The video instruction was excellent. The reading materials we concise and useful. The Practice Problems, Exams, and Python Integration worked very well together and very much reinforces both the Calculus and Python/SymPy implementation.
Cuts through the tediousness of math to get through the concepts of calculus. Good for continuing learning.
Un curso bastante complicado, hay un error de redondeo en un problema, pero de ahí en fuera todo bien
The mix of Python & Calculus is a special feature. I learned a lot.
Excellent Course and enjoy it a lot with python.
learned so much on this course, I recomend
Great course, succinct explanations.
Always a pleasure, very practical
Really, really enjoyed this.
Great course!
great course
good