# Introduction In this lab, we will learn about the `right_shift()` function in the NumPy library. This function is used to perform the right shift operation on an array-like object. The `right_shift()` function mainly shifts the bits in the binary representation of an operand to the right, just by the specified positions and appends an equal number of **0s** from the left. The internal representation of numbers is in the binary format; thus, the right shift operation is equivalent to dividing a number by **2^x**, where **x** is the number of bits to shift. We will cover the syntax of the `right_shift()` function, its parameters, and the values returned by this function along with code samples. ## VM Tips After the VM startup is done, click the top left corner to switch to the **Notebook** tab to access Jupyter Notebook for practice. Sometimes, you may need to wait a few seconds for Jupyter Notebook to finish loading. The validation of operations cannot be automated because of limitations in Jupyter Notebook. If you face issues during learning, feel free to ask Labby. Provide feedback after the session, and we will promptly resolve the problem for you.
Click the virtual machine below to start practicing