The "Learn NumPy" course is excellent. The exercises are very useful and helped to gain understanding of the subject. All the topics have been explained very nicely and in a lucid manner. I learned about array creation, data types, indexing, and slicing. NumPy arrays are multidimensional. NumPy stands for Numerical Python and was created in 2005 by the respected Sir Travis Oliphant. NumPy is very interesting and challenging. Revision is needed to retain the concepts and the syntax. Sound knowledge of NumPy will help an aspiring data scientist to succeed in his career. I also learned about copy and view, shape, reshape, iterating, split, sort, and filter. Learned about the functions nditer() and ndenumerate() used in iteration. The topics on random numbers included random number generation of types integer and float and continuous and discrete probability distributions like Normal, Binomial, and Poisson. Probability density functions also included Uniform, Multinomial, Rayleigh, and Zipf. Some of the topics covered in Ufuncs are add, subtract, multiply, divide, divmod, sum, prod, cumsum, LCM, GCD, and Set Operations. ufuncs stands for "Universal Functions," and it performs the element-wise mathematical operations. Thanks.
