Python numpy bmat() is an inbuilt NumPy function that is declared under the library numpy. It returns a 2-D matrix from nested objects consisting of string, array or nested sequence.

Numpy bmat() function returns the 2D matrix from nested objects consisting of string, array, or nested sequence. It forms a small matrix from the input and combines them in a bigger 2D matrix.

Numpy bmat() function builds the matrix object from a string, nested sequence, or array. The np.bmat() method is used to create a matrix object from a string, nested sequence, or array.

`numpy.bmat(obj, ldict=None, gdict=None)`

In this tutorial, youâ€™re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.

Today you're going to learn how to use Python programming in a way that can ultimately save a lot of space on your drive by removing all the duplicates. We gonna use Python OS remove( ) method to remove the duplicates on our drive. Well, that's simple you just call remove ( ) with a parameter of the name of the file you wanna remove done.

Learn about NumPy Array, NumPy Array creation, various array functions, array indexing & Slicing, array operations, methods and dimensions,It also includes array splitting, reshaping, and joining of arrays. Even the other external libraries in Python relate to NumPy arrays.

NumPy in Python explains what exactly is Numpy and how it is better than Lists. It also explains various Numpy operations with examples.

In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.