I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...

Overview PyCharm, DataSpell, and VS Code offer strong features for large projects.JupyterLab and Google Colab simplify data ...

The advantage of Python is that you can apply operations to larger datasets with hundreds, even thousands, of data points ...

The world of data science is awash in open source: PyTorch, TensorFlow, Python, R, and much more. But the most widely used tool in data science isn’t open source, and it’s usually not even considered ...

The timing of the Octoverse 2025 report release during the conference proved strategic, as it provided attendees with ...

Data science and machine learning professionals have driven adoption of the Python programming language, but data science and machine learning are still lacking key tools in business and has room to ...

Nvidia has been more than a hardware company for a long time. As its GPUs are broadly used to run machine learning workloads, machine learning has become a key priority for Nvidia. In its GTC event ...

A new offering from the creator of a Python distribution for data science uses Microsoft Excel as a front end for Jupyter notebooks and other data-centric apps Some of the most creative uses for ...

Google Data Analytics Professional Certificate: Coursera IBM Data Science Professional Certificate: Coursera Learn SQL Basics for Data Science Specialization: Coursera the PwC Approach Specialization: ...