Unleash the power of Python without giving up Windows.

Python has become the go-to language for data analysis, thanks to its powerful ecosystem of libraries like Pandas, NumPy, Matplotlib, and Seaborn. These tools make it easier to clean, manipulate, ...

Computational methods are transforming research practice across the disciplines. In this one-day course you will learn how to apply computational methods for the analysis of text data. Using Python ...

Therefore, this tutorial describes the use of traditional qualitative methods to analyze a large corpus of qualitative text data. We use examples from a nationwide SMS text messaging poll of youth to ...

In my work with students across age groups, I have found great power in using words and images, as well as elements of design, to build capacity for critical analysis and discussion. Comics can be an ...

Two complementary approaches were employed: Study 1 analyzed 1,902 Weibo posts containing “diet” and “social” keywords through latent Dirichlet allocation topic modeling and semantic network analysis ...

Join us to experiment, break things, and imagine new possibilities. Data Club meetings are meetings, not workshops. An introduction to a bit of software is followed by opportunities to try the ...

Unlock automatic understanding of text data! Join our hands-on workshop to explore how Python—and spaCy in particular—helps you process, annotate, and analyze text. This workshop is ideal for data ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Thinking about learning Python? It’s a pretty popular language these days, and for good reason. It’s not super complicated, which is nice if you’re just starting out. We’ve put together a guide that ...