The main reason to use Python is that you get a lot more options than what's included in most spreadsheets. Spreadsheets are ...

U, a global leader in education technology, today announced an expansion of its partnership with IBM to launch six new ...

According to the company, Insight Partners led the investment with participation from Mubadala Capital. Bloomberg reported ...

Discover how Julius AI simplifies complex data analysis for US businesses and researchers. Learn about its recent $10M ...

The data science skills gap has been well documented here and elsewhere. However, there appears to be a mismatch between talent supply and demand. Curiously, U.S. job hunters are most interested in ...

Python data science essential: Dask 2021.07.0 Processing power is cheaper than ever, but it can be tricky to leverage it in the most powerful way—by breaking tasks across multiple CPU cores ...

Useful Libraries for Data Analysis Whenever I start a data analysis project, I like to have at a minimum the following libraries installed: Requests. Matplotlib. Requests-html. Pandas.

Python is great because it includes an interactive mode for learning the language and quickly testing out code ideas. IPython ...

That’s not to say tools don’t matter; today’s data analyst absolutely needs to be able to use at least a few of the most common tools such as Excel, SQL, Tableau, Power BI, R or Python. Such ...

But a good 50 percent of them use Python as a data analysis tool—51 percent as their main job with the language, and 46 percent as a secondary task. Data: JetBrains and Python Software Foundation ...