At Springboard, we pair mentors with learners in data science. We often get questions about whether to use Python or R – and we’ve come to a conclusion thanks to insight from our community of mentors ...

Python is a popular general-purpose language, but it's increasingly favored for statistics, data analysis, and data science. If you have a basic knowledge of statistics, how can you apply that to ...

Jupyter Notebooks let you combine code, comments, multimedia, and visualizations into an interactive document that can be shared, re-used, and re-worked. Originally developed for data science ...

Aspiring data-science and machine-learning developers now have more Microsoft-made free video tutorials to learn how to build software in Python, one of today's most popular and versatile programming ...

What first interested you in data analysis, Python and pandas? I started my career working in ad tech, where I had access to log-level data from the ads that were being served, and I learned R to ...

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 ...

With the emergence of the era of Big Data, frameworks like Hadoop arose and the focus of the enterprise shifted to which was processing this data. This is where data science came into the picture.

Send a note to Doug Wintemute, Kara Coleman Fields and our other editors. We read every email. By submitting this form, you agree to allow us to collect, store, and potentially publish your provided ...

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 ...