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.

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 ...

But data science is a specific field, so while Python is emerging as the most popular language in the world, R still has its place and has advantages for those doing data analysis. Hoping to ...

Linear algebra is essential for understanding core data science concepts like machine learning, neural networks, and data transformations.D ...

One might hypothesize that this growth is coming at the expense of Python, by far the dominant language for data science. But some evidence suggests that data scientists are increasingly using both.

IPython Notebook has become common in the workflow of many data scientists who use Python — a common language for doing data science, right up there with R. But Lamp wanted something different.

This online data science specialization is designed for learners with little to no programming experience who want to use Python as a tool to play with data. ... Python Packages for Data Science; ...

It's no wonder, then, that a presenter at the EuroPython show in Dublin tomorrow will share "why VS Code is now the #1 tool for Python Data Scientists according to the 2021 Python Software Foundation ...

Netflix's data-science team has open-sourced its Metaflow Python library, a key part of the 'human-centered' machine-learning infrastructure it uses for building and deploying data-science ...

In contrast, Python follows a multiprogramming paradigm, which makes it easy for developers to write concise code using syntactic sugar. Python was not built specifically for data science workloads, ...