NumPy aims to provide an array object that is up to 50x faster than traditional Python lists. The array object in NumPy is called ndarray, it provides a lot of supporting functions that make working with …

We have created 43 tutorial pages for you to learn more about NumPy. Starting with a basic introduction and ends up with creating and plotting random data sets, and working with NumPy functions:

Create a NumPy ndarray Object NumPy is used to work with arrays. The array object in NumPy is called ndarray. We can create a NumPy ndarray object by using the array() function.

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The NumPy module has a method for this. Learn about the NumPy module in our NumPy Tutorial.

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As we deal with multi-dimensional arrays in numpy, we can do this using basic for loop of python. If we iterate on a 1-D array it will go through each element one by one.

Finding hypotenues using pythagoras theorem in NumPy. NumPy provides the hypot() function that takes the base and perpendicular values and produces hypotenues based on pythagoras theorem.

Well organized and easy to understand Web building tutorials with lots of examples of how to use HTML, CSS, JavaScript, SQL, Python, PHP, Bootstrap, Java, XML and more.

Well organized and easy to understand Web building tutorials with lots of examples of how to use HTML, CSS, JavaScript, SQL, Python, PHP, Bootstrap, Java, XML and more.