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!
![The Hogwarts Regex challenge + explanation](/assets/img/blog/letters.jpg)
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](/assets/img/blog/bastien-nvs-g3CR0UJ1CyM-unsplash.jpg)
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](/assets/img/blog/Jacques-Cousteau-Swimming.jpg)
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](/assets/img/blog/jukan-tateisi-bJhT_8nbUA0-unsplash.jpg)
How to get started with Python
A friendly introduction to some powerful tools Continue reading How to get started with Python