[ CourseHulu ] Udemy - NumPy for Data Scientist

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MP4 | h264, 1280x720 | Lang: English | Audio: aac, 48000 Hz | 2h 33m | 882 MB
What you'll learn
Multi-dimension array creation and perform the processing on multidimensional array
Indexing of array
Statistical functions
Linear Algebra
Matrix Operations and many more
Requirements
Basic knowledge of Python Programming
Description
NumPy stands for numeric python which is a python package for the computation and processing of the multidimensional and single dimensional array elements.

With the revolution of data science, data analysis libraries like NumPy, SciPy, Pandas, etc. have seen a lot of growth. With a much easier syntax than other programming languages, python is the first choice language for the data scientist.

NumPy provides a convenient and efficient way to handle the vast amount of data. NumPy is also very convenient with Matrix multiplication and data reshaping. NumPy is fast which makes it reasonable to work with a large set of data.

There are the following advantages of using NumPy for data analysis.

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