Overview Pandas continues to be a core Python skill in 2026, powering data analysis, cleaning, and engineering workflows ...

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

Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By ...

Discover the key differences between Data Science, Data Engineering, and AI. Learn about their unique roles, technical ...

Python libraries handle real business tasks like APIs, data analysis, and machine learning at scaleUsing ready-made libraries ...

A new study estimates the environmental impact of AI in 2025 and calls for more transparency from companies on their pollution and water consumption. A new study estimates the environmental impact of ...

Regex is a powerful – yet overlooked – tool in search and data analysis. With just a single line, you can automate what would otherwise take dozens of lines of code. Short for “regular expression,” ...

1 Baltic Center for Neurotechnology and Artificial Intelligence, Immanuel Kant Baltic Federal University, Kaliningrad, Russia 2 Research Institute for Applied Artificial Intelligence and Digital ...

Artificial intelligence has developed rapidly in recent years, with tech companies investing billions of dollars in data centers to help train and run AI models. The expansion of data centers has ...

The huge demand for energy to power data centers will be a key focus for antitrust regulators in the future, a former top official at the U.S. Justice Department’s trustbusting division said.