NumPy Broadcasting Functionality and Computation On Arrays In Python Data Science

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In this NumPy Python Data Science Tutorial, We Discuss NumPy Broadcasting functionality. This NumPy Data Science Essential Training Series Covers Basics Concepts related to Numpy, Python and Data science.
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** What is NumPy Broadcasting?

*** The word broadcasting describes how numpy treats arrays with diverse shapes during arithmetic operations. Subject to certain constraints, the smaller array is “broadcast” across the larger array so that they have compatible shapes. Broadcasting provides a means of vectorizing array operations so that looping occurs in C instead of Python. It does this without making needless copies of data and usually leads to effective algorithm implementations. There are, however, cases where broadcasting is a bad idea because it leads to inefficient use of memory that slows computation.
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** What is NumPy ?

*** NumPy is the ultimate package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object, tools for integrating C/C++ and Fortran code, sophisticated (broadcasting) functions, useful linear algebra, random number capabilities and Fourier transform.
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*** Complete Python Programming Playlists ***

* Complete Playlist of Python 3.6.4 Tutorial can be fund here:

* Complete Play list of Python Smart Programming in Jupyter Notebook:

* Complete Playlist of Python Data Science

* Complete Play List of Python Coding Interview:

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Please watch: "How to Calculate Age from Date of Birth in Excel in Years Months and Days (Simple Formula)"
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nicely done.. 
do i need to know Linear Algebra also to be a data scientist because i forgot most of the concepts n currently I am polishing my statistics, because i didnt get the math behind the np.inner() and np.dot() functions. Keep up the good work.

abhishek-hbvg
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could you please upload the EDA videos and how do i use in data science for python. i want need code.

madhun