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Streamlit with Amanda Kelly

The importance of data teams is undeniable. Most companies today use data to drive decision-making on anything from software feature development to product strategy, hiring and

Episode Summary: Preset: Visualizing Big Data with Srini Kadamati

“All jobs are now becoming data jobs,” notes Srini Kadamati, senior data scientist and developer advocate at Preset. The unofficial motto of the company, he explains, is that every

Why We Switched from Python to Go

Switching to a new language is always a big step, especially when only one of your team members has prior experience with that language. Early this year, we switched Stream’s primary

Modin: Pandas Scalability with Devin Petersohn

Pandas is a Python data analysis library, and an essential tool in data science. Pandas allows users to load large quantities of data into a data structure called a dataframe, over which

Dask: Scalable Python with Matthew Rocklin

Python is the most widely used language for data science, and there are several libraries that are commonly used by Python data scientists including Numpy, Pandas, and scikit-learn.