This semester, I returned to holding R open labs with another student intern, Hanying Ji. We made some adjustment about the structure of the open labs. Time flies, and now our R open labs have reached its end for this semester. I would like to summarize our journey and provide insights for both myself and […]
R Open Lab Reflections
Sharing is always good! I am really happy to get a great opportunity to work for Digital Center in my last semester at Columbia as a R Open Lab Intern in Digital Center Internship Program.R is really a powerful tool for statistic and data science nowadays which I love most. Holding weekly R Open Lab and […]
Python Open Lab Reflections
This fall semester I got an excellent opportunity to work as a Digital Center Intern, as part of the Digital Centers Internship Program. My work involved data consulting, as well as assisting in leading Python OpenLabs. I am a Statistician, so R is more intuitive to me. However, due to onset of Machine Learning and […]
Python Open Lab mid-term reflection (Fall 2018)
This semester I am glad to participate in the Python Open Lab of the digital center. Staying with students just reminds of myself. When I learned my first programming language, I had a lot of struggle and made tons of mistakes. As a result, I get much experience and I am really happy to share […]
Mid-Semester Reflection – R Open Labs
Now the semester is halfway done, I think it is a good time to review our progress of this code teaching program. The R open lab’s performance has improved compared to the last one. We are having a consistent population of attendee, and we have already covered more topics than last semester. I am confident […]
R Open Lab Summary Report – Spring 2018
This was the first semester I worked as a teaching intern at the Digital Center, and I was in charge of running the R workshops. As a great semester reaches its end, I would like to summarize this journey and reflect on it. A Quick Summary I conducted 5 workshops besides the starter kit. 4 […]
Python Open Labs S.2018: How it all went down
Lab Structure and Technicalities: This semester I returned to running the Python Open Labs with another student intern and upon started, we had some discussions about our ideas for structuring the labs over the next few months. We decided to stay consistent with the formatting of the lab: started the semester with the starter kit […]
End-of-Semester Reflection (Python Open Labs – Spring 2018)
It’s hard to believe that the end of the semester has arrived and that Python Open Lab sessions for Spring 2018 have come to an end. Instead of writing a sappy post about “the end,” I’d like to share five things I learned while teaching my students Python this semester. # 1 – Teach with […]
Mid-Semester Reflection (Python Open Labs – Spring 2018)
Stuart Walesh, an author and consultant, once said: “The computer is incredibly fast, accurate, and stupid. Man is unbelievably slow, inaccurate, and brilliant. The marriage of the two is a challenge and opportunity beyond imagination.” Many of us use computers. Sometimes, the time we spend on them consume the majority of our day. Whether or […]
Computationally Detecting Similar Books in Project Gutenberg
As one of the first digital libraries, Project Gutenberg has lived through a few generations of computers, digitization techniques, and textual infrastructures. It’s not surprising, then, that the corpus is fairly messy. Early transcriptions of some electronic texts, hand-keyed using only uppercase letters, were succeeded by better transcriptions, but without replacing the early versions. As […]