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 …

NumPy is a Python library used for working with arrays. It also has functions for working in domain of linear algebra, fourier transform, and matrices. NumPy was created in 2005 by Travis Oliphant.

Installation of NumPy. If you have Python and PIP already installed on a system, then installation of NumPy is very easy. Install it using this command:

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.

NumPy provides the ufuncs sin(), cos() and tan() that take values in radians and produce the corresponding sin, cos and tan values.

NumPy (Python) Editor. With our "Try it Yourself" editor, you can edit Python code and use the NumPy module, and view the result in your browser.

In NumPy we work with arrays, and you can use the two methods from the above examples to make random arrays. Integers. The randint() method takes a size parameter where you can …

Joining NumPy Arrays. Joining means putting contents of two or more arrays in a single array. In SQL we join tables based on a key, whereas in NumPy we join arrays by axes. We pass a …

We can generate random numbers based on defined probabilities using the choice() method of the random module. The choice() method allows us to specify the probability for each value. …

To create your own ufunc, you have to define a function, like you do with normal functions in Python, then you add it to your NumPy ufunc library with the frompyfunc() method. The …