Tutorials
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The Best of Both Worlds: Saving Costs and Time When Using OpenAI's API
When working with OpenAI’s API for large language models (LLMs) in research projects, there are two techniques that can help save both time and costs.
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NetCBS: creating network measures using CBS networks (POPNET) in the RA
Registry data from the Central Bureau of Statistics (CBS) in the Netherlands contains information on the social context of individuals: family, friends, schoolmates, neighbors, housemates and colleagues.
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Detecting communities in signed networks with Python
In this tutorial, we will guide you through applying two popular community detection algorithms to signed networks, using Python.
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Generating synthetic data in a safe way with metasyn
In this post, we show how to create synthetic data in an auditable, transparent way with the software package metasyn.
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How to manage your IP address in python
Author: Flavio Hafner. Post photo from Glenn Carstens-Peters on Unsplash
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Training a fastText model from scratch using Python
In this tutorial, we explain how to train a natural language processing model using fastText
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Visualizing international flows with Geoflow visualizer
In this tutorial we present Geoflow, a newly created tool designed to visualize international flows in an interactive way.
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Wrangling interval data using lubridate
One common issue we encounter in helping researchers work with the housing register data of Statistics Netherlands is its transactional nature: each row in the housing register table contains data on when someone registered and deregistered at an address (more info in Dutch here).
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Collecting online platforms data for science: an example using WhatsApp
In this tutorial, we use data donation and the Port software to get access to WhatsApp group-chat data in a way that completely preserves privacy of research participants.
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ArtScraper: A Python library to scrape online artworks
ArtScraper is a Python library to download images and metadata for artworks available on WikiArt and Google Arts & Culture.
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How to share your research code
With the increasing popularity of open science practices, it is now more and more common to openly share code along with more traditional scientific objects such as papers.
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