It is a handy tool for keeping a record of data explorations, creating charts, styling text and sharing the results of that work. For data analysis, the cornerstone package in Python is “Pandas”.

The annual Python Developers Survey shows a programming environment in transition. Data science accounts for more than half ...

Nvidia wants to extend the success of the GPU beyond graphics and deep learning to the full data science experience. Open source Python library Dask is the key to this.

Pandas is a popular Python-based dataframe library that is used for data manipulation and analysis. Developed and released as open source by Wes McKinney, a 2018 Datanami Person to Watch, Pandas is ...

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

Programming languages Python and R are often pitted against each other over which is best for data science and analysis. Both are popular, although Python appears to be much more widely used, at ...

Python for Data Science Essential Training is one of the most popular data science courses at LinkedIn Learning. This is course 1 of 2.

You will focus on packages specifically used for data science, such as Pandas, Numpy, Matplotlib, and Seaborn. This specialization is also an excellent primer for learners preparing to complete CU ...

Stefanie Molin recently wrote the technical book “ Hands-On Data Analysis with Pandas ” (published by Packt on July 26, 2019).