Posts by Aditi Deo

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Check if tuple exists as a dictionary key

By Aditi Deo

Let us consider an e-commerce website that uses a dictionary called ‘products’. This dictionary will have keys representing a tuple of different product ids. Whereas, t.... Read More

How to shuffle NumPy Array in Python?

By Aditi Deo

Many times we want to shuffle an array for several reasons. For example, in Machine Learning, we need to shuffle the array to avoid bias because of fixed data ordering. Therefore i.... Read More

Converting NumPy datetime64 to Timestamp

By Aditi Deo

The datetime64 format can be complicated to understand in many situations. Therefore, there is a need to convert NumPy datetime64 into a timestamp format in Python. So we can easil.... Read More

Find the index of value in Numpy Array

By Aditi Deo

In this tutorial, we are going to learn how to find the index of the value in Numpy Array in Python using two methods. We will initially apply the numpy.where() method on a 1D arra.... Read More

Find Minimum and Maximum values in a list of tuples in Python

By Aditi Deo

Let us assume we have an e-commerce website displaying the cost price and selling price of the products. These prices can be represented in the form of tuples inside the products l.... Read More

Learn numpy.append() method with examples

By Aditi Deo

NumPy is an open-source library available in Python that is used to perform numerical processing on arrays. Suppose we want to add elements at the end of an array or even combine t.... Read More

How to append data in excel using openpyxl in Python

By Aditi Deo

Suppose you want to add or append data to an excel sheet using Python. In this case, we can make use of the openpyxl library that is available in Python which can easily append dat.... Read More

Convert CSV to Excel using openpyxl in Python

By Aditi Deo

CSV stands for comma-separated value files that store content in plaintext format separated using delimiters like commas in a series of rows. Excel on the other hand stores content.... Read More

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