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

Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.

In stock investing, it is important not only to look at individual stocks but also to understand whether the industry as a whole is strong. For example, when the ...

The power of Python trumps Excel workbooks.

Each tool serves different needs, from simplicity to speed and SQL-based analytics workflows. Performance differences matter most, with Polars and DuckDB outperforming Pandas on large datasets. Modern ...

From STEM classrooms to early-stage startups, the LiteWing Drone has found its way into the hands of students, makers, and engineers alike. Our goal with Litewing was to build this very same ecosystem ...

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 ...

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...

Integration for Jupyter notebooks and Microsoft Excel. See the Python Jupyter Notebooks in Excel blog post for more details. Once installed a "Jupyter Notebook" button will be added to the PyXLL ...

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 ...

Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI Are you looking for a way to programmatically access and retrieve data from the ...