It outfits Python with new data types for loading data fast from tabular sources, and for manipulating, aligning, merging, and doing other processing at scale. Your first Pandas data set ...

The main reason to use Python is that you get a lot more options than what's included in most spreadsheets. Spreadsheets are ...

Profilingis a process that helps us understand our data, and Pandas Profiling is a python package that does exactly that. It’s a simple and fast way to perform exploratory data analysis of a ...

Python libraries like Pandas, NumPy, SciPy, and Matplotlib streamline data cleaning, statistical analysis, and visualization directly within Excel.

Data manipulation and transformation Let’s understand how Python, especially using the Pandas library, can replicate and surpass Excel’s capabilities. With Excel, you can enter data in cells ...

Stefanie Molin's new book, “Hands-On Data Analysis with Pandas" is about using the powerful pandas library to get started with machine learning in Python.