Overview:  Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets ...

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 ...

If you’re doing work in statistics, data science, or machine learning, the odds are high you’re using Python. And for good reason, too: The rich ecosystem of libraries and tooling, and the convenience ...

A DataFrame is a data structure constructed with rows and columns, similar to a database or Excel spreadsheet. It consists of a dictionary of lists in which the lists each have their own identifiers ...

I've been a project manager/scrum master for 5 years. I'm done with it for various reasons. I'm looking at what to do with my career. I spent several years as a data analysis building reports for the ...

With five years of experience as a writer and editor in the higher education and career development space, Ilana has a passion for creating accessible, relevant content that demystifies the higher-ed ...

Overview:  Python remains a leading choice for building secure and scalable blockchain applications.PyCryptodome and PyNaCl ...

Amid mounting digital transformation pressures, the top two categories for increased IT spending in 2019 are cloud computing—and on-premises data analytics, according to a recent Morgan Stanley survey ...

"Data is the fuel that feeds AI and analytics to improve decision making, and no data is more important than the organization's first-party data that it owns related to its customers and markets," ...