Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...

When a Matplotlib volunteer declined its pull request, the bot published a personal attack. Sign of the times: An AI agent autonomously wrote and published a personalized attack article against an ...

The pandas team has released pandas 3.0.0, a major update that changes core behaviors around string handling, memory ...

The CBSE Class 12 Informatics Practices exam will be held on March 25. As 50% of the 2026 paper is expected to be competency-based, students should focus on high-weightage topics like DataFrames, SQL ...

Applicant tracking systems scan for exact keyword matches before reviewSpecific tools and frameworks signal real project depth and expertiseClear ...

TOKYO — Japanese panda fans gathered Sunday for the final public viewing at Tokyo's Ueno zoo before twins Xiao Xiao and Lei Lei return to China this week. Their departure on Tuesday will leave Japan ...

We list the best IDE for Python, to make it simple and easy for programmers to manage their Python code with a selection of specialist tools. An Integrated Development Environment (IDE) allows you to ...

The giant panda's distinct black-and-white markings have two functions: camouflage and communication. Most of the panda - its face, neck, belly, rump - is white to help it hide in snowy habitats. The ...

In this academy, you’ll explore how data scientists analyze real-world data to uncover meaningful insights. Through hands-on projects, you’ll learn the fundamentals of data analysis and machine ...

The full documentation is here. The purpose of this project is to allow easy plotting of curly brace between two points when using matplotlib. This feature is not built into matplotlib (also, not ...

We connected with Florian Winkler to learn how he created such an elegant and informative map that invites exploration.

Merge the two datasets Olympics_dataset1.csv and Olympics_dataset2.csv (do not concatenate the datasets and ignore the first row of each of the datasets). And rename columns of the result dataframe as ...