Pandas makes it easy to quickly load, manipulate, align, merge, and even visualize data tables directly in Python.

Python, with its flexibility, ease of learning, and a large developer community, has transformed the field of data analysis. In this article, we will learn about data analysis using Python.

Still using Excel for your data analysis? Learn how to leverage Python so you can work with larger datasets and automate repetitive tasks.

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

However, in recent years the open source community has developed increasingly-sophisticated data manipulation, statistical analysis, and machine learning libraries for Python. We are now at the point ...

The author, an experienced data scientist and Python programmer, shows readers how to use Python for data analysis, exploration, cleaning, and wrangling.

It details key data analysis and data visualization libraries for Python, such as PyTorch. Of course, Microsoft plugs its Azure AI services, too.