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3 | 3 | Large scale data manipulation and transformation depends on efficient, high-performance array computing. The language of choice for data analytics, machine learning, and productive numerical computing is Python. |
4 | 4 | Numerical Python or NumPy is its de-facto standard Python programming language library that supports large, multi-dimensional arrays and matrices, and comes with a vast collection of high-level mathematical functions to operate on these arrays."></head><body><nav id=nav class=navbar role=navigation aria-label="main navigation"><div class=container><div class=navbar-brand><a class=navbar-item href=/><img class=navbar-logo src=/images/logo.svg alt="%!s(<nil>) logo"><div class=navbar-logo-text>NumPy</div></a><a role=button class=navbar-burger aria-label=menu aria-expanded=false data-target=navbar-menu><span aria-hidden=true></span> |
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14 | 15 | in various contemporary data science and analytics applications such as data |
15 | 16 | visualization, digital signal processing, image processing, bioinformatics, |
16 | 17 | machine learning, AI, and several others.</em></p><p>Large scale data manipulation and transformation depends on efficient, |
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