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README.md

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@@ -36,4 +36,15 @@ The data about Google apps was explored to find out interesting facts like:</br>
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* What are the most popular apps,</br>
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* What was the most downloaded app's estimated revenue,</br>
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* how the monetization of an app affects its download count,</br>
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* What is a reasonable price for an app,</br>
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* What is a reasonable price for an app,</br>
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## 06_NumPy_and_N_Dimensional_Arrays
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In this project we will explore the NumPy (Numerical Python) Python library, which is
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used in almost every field of science and engineering. It’s practically the standard for working with numerical data in Python. It is an introduction to get a better understanding of how to work with this library.</br>
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Main points, including:</br>
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* how to work with arrays</br>
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* how to create nd.arrays</br>
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* creating arrays with standard functions such as arange(), random(), or linespace()</br>
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* What exactly is broadcasting and how does it work</br>
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* How to do linear algebra with NumPy</br>
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* Image manipulation with a NumPy array </br>

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