PyTorch is an open-source Python-based library. It provides high flexibility and speed while building, training, and deploying deep learning models.

At its core, PyTorch involves operations involving *tensors. *A tensor is a number, vector, matrix, or any n-dimensional array.

In this article, we will see different ways of creating tensors using PyTorch tensor methods (functions).

- tensor
- zeros
- ones
- full
- arange
- linspace
- rand
- randint
- eye
- complex

It returns a tensor when `data`

is passed to it. `data`

can be a scalar, tuple, a list, or a *NumPy* array.

In the above example, a NumPy array created using `np.arange()`

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Pointers are arguably the most difficult feature of C to understand. But, it is one of the features which make C an excellent language. In a series of articles, we will take a closer look at pointers and how they can be used in C programming.

0. *What exactly are pointers?*

1. *Pointer Notation and Definition*

2. *Some Special Pointers*3.

Before we go to the definition of pointers, let us understand what happens when we write

`int digit = 42;`

A block of memory is reserved by the compiler to hold an `int`

value. The name of…

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