Supported Foundation Models In Watsonx.AI

IBM watsonx.ai offers various foundation models for generative AI, including IBM‑curated, custom, and prompt‑tuned models. They can be deployed on shared or dedicated hardware, with billing based on usage (tokens or hours).

py2eviews: Python + EViews

The purpose of the py2eviews package is to make it easier for EViews and Python to talk to each other, so Python programmers can use the econometric engine of EViews directly from Python.

Streamline Your Literature Review and Research Analysis Using Citavi and NVivo

Developing a literature review is one of the most important — and difficult — components of the research process. A well-executed literature review helps you determine the direction and design of your research, uncovers gaps in current knowledge, and helps you understand different theoretical frameworks for your topic