Whether you’re working with sales data, employee performance metrics, or customer insights, Python in Excel offers a smarter, more efficient way to handle external data.

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.

Data: JetBrains and Python Software Foundation At 39 percent is the mix of libraries used most commonly in data analysis applications: NumPy, Pandas, Matplotlib, SciPy, and so on.

While Python has become the go-to language for data scientists and machine-learning applications, VS Code – Microsoft's lightweight code editor that works on Windows, macOS, and Linux – has ...