These are my go-to libraries for Python data crunching.

Apache Spark and Hadoop, Microsoft Power BI, Jupyter Notebook and Alteryx are among the top data science tools for finding business insights. Compare their features, pros and cons. While data has its ...

Python, Julia, and Rust are three leading languages for data science, but each has different strengths. Here's what you need to know. The most powerful and flexible data science tool is a programming ...

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...

The Python ecosystem is loaded with libraries, tools, and applications that make the work of scientific computing and data analysis fast and convenient. But for the developers behind the Julia ...

A key challenge today is that open-source data science tools are unable to keep up with advances in compute hardware. The computer industry has built incredibly powerful systems, but many data ...

The tools used for data science are rapidly changing at the moment, according to Gartner, which said we’re in the midst of a “big bang” in its latest report on data science and machine learning ...

Discover the essential skills required for a successful career in data science. Check out technical skills like programming, ...

Discover what data science is, its benefits, techniques, and real-world use cases in this comprehensive guide. Data science merges statistics, science, computing, machine learning, and other domain ...

Sometimes programming project ideas are right under your nose.