Python
Here is some guidance in the world of Python programming. Most data science documentation and tutorials focus on so-called “data wrangling” (getting your data in shape and analyzable) and/or how to run a given model. But, as analysts we want more: we like to retrieve meaningful information from, for instance, social network graphs or machine learning algorithms. And this is what the scripts in this blog section will help you to achieve!
BERTopic actor-style matrix
Linking film styles to film makers with BERTopic Continue reading BERTopic actor-style matrix
The Hogwarts Regex challenge + explanation
A friendly coding challenge + explanation to get you started with Regular Expressions Continue reading The Hogwarts Regex challenge + explanation
Producing time series data from topic models in Scikit-learn
Analyzing more than 12.000 Disneyland Paris Tripadvisor reviews to detect understandings of Disneyland as a “magical world” vs Disneyland as a “hassle.” Continue reading Producing time series data from topic models in Scikit-learn
Compute community-level metrics in social networks with NetworkX
Community detection in dolphin networks (and why social scientists may be interested). Continue reading Compute community-level metrics in social networks with NetworkX
How to get started with Python
A friendly introduction to some powerful tools Continue reading How to get started with Python