Eventual's data processing engine Daft was inspried by the founders' experience working on Lyft's autonomous vehicle project.

Want to code your own scripts and apps using AI? Here's some guidance to get you started off on the right foot.

In this overview, Leila Gharani explores how integrating Python into Excel redefines how you handle external data. From establishing live connections to datasets using Power Query to using Python ...

In the world of data cleaning, two approaches often stand out: Python, the go-to for coding enthusiasts, and Excel’s Power Query, a code-free, user-friendly alternative.Both have their merits ...

Access to Rich Python Libraries: Utilize a vast ecosystem of Python libraries for data manipulation, statistical modeling, and data visualization, all available within Excel. The integration of ...

From basic static plots to dynamic and complex interactive dashboards, there’s a Python library for data visualization for whatever you require. Using these top Python libraries for data visualization ...

Python is something indispensable for a data scientist or analyst to learn how to carry out data visualization using Python. Create meaningful visualizations that turn your data into not only ...

In most situations, the easiest way to apply t-SNE is to use an existing library such the Python language scikit-learn sklearn.manifold.TSNE module. But to really understand how t-SNE works, and its ...

At a glance. Title: Python Tools for Scientists Author: Lee Vaughan Publisher: No Starch Press Print: $49.99; Ebook: $39.99 Unpacking Anaconda. Part three tours many of the libraries packaged with ...