Here’s a rundown of some of the best newer or lesser-known data science projects available for Python. Some ... and .cols() accessors to make it easy to do things like sort a DataFrame, filter ...

Python continues to dominate data science with its ease of use and vast libraries.R remains a favorite for statistics and ...

but I’m sure they’ll come in pretty handy the next time you work on a data analysis project. Let’s use the age-old titanic dataset to demonstrate the capabilities of the versatile python ...

Python and many of its popular data science and machine learning packages/libraries, such as NumPy and TensorFlow, are open source projects. Interesting, a quarter of respondents said they were ...

But data science is a specific field ... The novice can be doing simple data analyses within minutes," contends Matloff. "Python libraries can be tricky to configure, even for the systems ...

Find out what makes Python a versatile powerhouse for modern software development—from data science to machine learning ... ways to create everything from simple REST APIs in a few lines ...