5/16/2023 0 Comments Python anybar![]() Hamiltonian Art Gallery in Washington, DC. My friend Kira and I startaed it and co-curated the first Submitting my stories to a number of writing contests at respected literary journals.Īttending the Association of Writing Programs 2011 conference in Washington, DC.Īttending a writer's retreat at Doe Branch Ink near Marshall, North Carolina, in spring 2011. Giving readings of my work for the DC community, including at the lowercase, a monthly reading series at Big Bear Cafe in DC's Bloomingdale neighborhood that is sponsored by 826DC. Leading student writing workshops at 826DC to further the development of DC's young writers. I am immensely grateful to the DC Commission on the Arts and Humanities for this honor. I was awarded a 2011 DC Young Artist Grant. The best way to see what I'm up to is visit my github profile. Other Web ProjectsĪt any given time, I'm probably working on several web development projects. It's called Readsr and wasĬreated with Django and various third-party appsĪnd libraries. Readsrĭuring the first half of 2011, I worked on a web app that tracks literary I retired the site a few years ago, but the source is available on github. You'd like your journal to be included.) I usedĭjango, third-party Django apps including Zinnia In Spring 2012, I developed a web app (fancy name for a website with someĪdditional functionality) called that presents a new story every day,ĭrawn automagically from literary journals across the internet. It discussed Gensim, a Python library, a free Python framework for topic modelling and semantic similarity using latent semantic analysis/indexing and other statistical techniques as efficiently (computer-wise) and painlessly (human-wise) as possible. ![]() I gave a talk at the May 2012 DC Python meetup titled An Introduction to Gensim: Topic Modelling for Humans. To make it all work in realtime, I used hookbox. ![]() For clustering, I used scipy and scikit-learn, and for visualization, I used d3.js. This is accomplished through a technique called latent semantic analysis, implemented via Gensim, a Python topic modelling library. When provided with data representing a large corpus of documents (for example, Wikipedia articles), Visularity will cluster words that appear in the corpus by how close they are in meaning. Visularity is a web app for visualizing semantic similarity that I wrote as a demo for a talk I gave at the May 2012 DC Python Meetup.
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