From formulas that fill themselves to built-in Python, if you've been away for a while, prepare to rethink almost everything ...

When you hear about data analysis with Python, you might imagine difficult AI or machine learning. However, the first step is much more modest. First, load a table. Count. Compare. Create a graph.

These are my go-to libraries for Python data crunching.

The 1st of every month. Opening last month's sales Excel file, calculating monthly totals, adding colors, drawing borders, converting to PDF... I did this for two years. 40 minutes per session. 8 ...

This article is not about ethics, privacy, security, ownership, or corporate governance — I am going to circumvent all of this here by using some made-up data relating to supermarket sales: Here, I ...

When it comes to working with data in a tabular form, most people reach for a spreadsheet. That’s not a bad choice: Microsoft Excel and similar programs are familiar and loaded with functionality for ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Programming is a key transferable skill within the chemical sciences with applications ...

In the Getting started directory, you’ll find a step-by-step tutorial to build your own Word Cloud app. Training version: Practice assembling the Python code yourself. Wordcloud - complete: The fully ...

Have you ever found yourself wrestling with Excel formulas, wishing for a more powerful tool to handle your data? Or maybe you’ve heard the buzz about Python in Excel and wondered if it’s truly the ...

This hands-on tutorial will walk you through the entire process of working with CSV/Excel files and conducting exploratory data analysis (EDA) in Python. We’ll use a realistic e-commerce sales dataset ...