Materials for the lecture on "Parallelised analysis of large-scale bibliometric and text data (with Dask in Python, DuckDB and DBeaver in SQL)"

Speaker:

• Aliakbar Akbaritabar, research scientist at the Max Planck Institute for Demographic Research (MPIDR), GitHub: https://github.com/akbaritabar, (akbaritabar@demogr.mpg.de)

Instructions for participants

0. Please clone or download this repository (https://github.com/akbaritabar/Parallelised-analysis-of-large-scale-bibliometric-and-text-data) by clicking on the green button on top right (see photo)

1. Please go over the presentation files in the 2_presentations directory, some are self-study materials that in combination with Python and R scripts in 0_code directory should help you set-up and get started. You can ask your clarification questions by email or during the Q&A sessions.
2. For Python users to replicate the results, you should follow steps outlined in 0_code\01_Required_installation_setup_python.md to have all necessary libraries installed.
3. For R users to replicate the results, you should follow steps outlined in 0_code\02_Required_installation_setup_R.md to have all necessary libraries installed.