Tanishka Dhondge

Tanishka Dhondge

NumPy empty and empty_like

NumPy empty and empty_like

When you’re about to fill a NumPy array with your own values straight away, you only need NumPy to set aside the space. np.empty creates that array without setting its values, and np.empty_like does the same using another array’s shape…

NumPy np.sign(): Get the Sign of Each Value

NumPy np.sign(): Get the Sign of Each Value

A complex value like `3 + 4j` comes back as `0.6 + 0.8j`, not a plain `1`. I was surprised that its direction survives even though its magnitude changes. That difference matters when you’re mapping complex arrays and interpreting the…

NumPy eye function: A Complete Guide

NumPy eye function: A Complete Guide

np.eye builds an identity matrix, and the arguments that matter are its size, its dtype, and an offset that moves the diagonal. The examples go from a basic identity matrix to one-hot encodings. What np.eye actually returns That prints True.…

NumPy full() function

NumPy full() function

NumPy full creates an array with a chosen shape and the same fill value in every cell. Install NumPy and import it Install the current NumPy release in your environment, then import it with the short name np used in…

How to read a CSV from a URL using Pandas?

How to read a CSV from a URL using Pandas?

The most useful, easy to understand, and efficient open-source library tool for handling data, cleaning the data, modification, and analysis in Python is Pandas. As a result, Pandas is quite useful when working with large datasets. Pandas’ built-in function facilitates reading datasets…