Analytics Insight

A Practical Guide to Faster Data Processing with Polars

Overview: Polars pairs a Rust engine with column-based storage and multi-core execution to cut wasted work in Python ...
InfoWorld

Julia vs. Python: Which is best for data science?

Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job. Among the many use cases Python covers, data analytics has become perhaps ...

The failure of business automation might happen before writing a single line of code—Things to consider before choosing between Python and Excel VBA

Can't we automate this Excel task with Python?When it comes to business process improvement, this kind of consultation often ...

[VS Code Introduction 7] Let's use repetitive processing with Python's 'for loop'! The basics for beginners

Last time, we learned how to apply Python's 'if statement' to change processing based on conditions. For example, it was code ...
Fast Company

The 9 Best Languages For Crunching Data

This story contains interviews with Michael Driscoll, CEO of Metamarkets; Paul Butler, data scientist at Chango and formerly at Facebook; and Niall O’Connor, vice president at Bank of America. The big ...
Analytics Insight

Scala for Data Engineering: Why It Still Matters in 2026

Overview: Scala still powers Apache Spark's core, especially in high-performance pipelines.Hiring data shows fewer Scala ...
eso

ELT ICS Online Data Processing

The PyCPL is a library that creates the Python bindings for C++ library CppCPL. The bindings are created using pybind11 tool. For more information about pybind11, see here. The resulting Python ...