written by Eric J. Ma on 2016-06-17 | tags: network analysis tutorials conferences pycon
Prof. Allen Downey (Olin College) described my Network Analysis tutorial as being like yoga with Python.
Read on... (46 words, approximately 1 minute reading time)written by Eric J. Ma on 2016-06-16 | tags: conferences meeting notes
I attended the 2016 Boston Area Antibiotic Resistance Network meeting, held at the American Association for the Advancement of Science (AAAS). Here’s my bullet-point notes version of what went on.
Read on... (943 words, approximately 5 minutes reading time)written by Eric J. Ma on 2016-06-16 | tags: conferences antibiotic resistance baarn 2016 genomic surveillance phenotypic surveillance machine learning tpot drug development incentives rapid detection viral detection bacterial detection susceptibility testing minion sequencer viral genotype phenotype prediction
Just attended the BAARN 2016 meeting and learned a lot! 🧪🔬 Discussed genomic and phenotypic surveillance, the economic challenges of antibiotic development, and the need for rapid detection of bacterial and viral infections. Also, shared thoughts on my current projects tying viral genotype to phenotype. 🧬🦠
Read on... (869 words, approximately 5 minutes reading time)written by Eric J. Ma on 2016-06-15
I have found that I most successfully focus when I have my scribble book by my side. Jotting down what I'm going to do next on the notebook focuses my mind more than jotting it down in Evernote, which is done digitally. I think it's the combination... (read more)
(61 words, approximately 1 minute reading time)written by Eric J. Ma on 2016-06-14
I recently was asked by Dr. Hugo Bowne-Anderson (a really chill guy, who probably would insist that I drop the "Dr.") to contribute some of my thoughts on what makes a great data science... (read more)
(675 words, approximately 4 minutes reading time)written by Eric J. Ma on 2016-06-13
When writing code, it’s often a great idea to write tests in parallel. Today I experienced how important it is to have a split window. I write code on my left pane, and I can immediately set up the corresponding test on the right pane. Just as... (read more)
(115 words, approximately 1 minute reading time)written by Eric J. Ma on 2016-06-10 | tags: programming bayesian data science deep learning
Matt Johnson (of HIPS) had an interesting comment on Wednesday.
LLVM's relationship to machine code is a bit like Deep Learning's relationship to... (read more)
(73 words, approximately 1 minute reading time)written by Eric J. Ma on 2016-06-09 | tags: scipy conferences python network science graph theory data science
I will be at SciPy 2016 this year, to deliver a workshop titled "Network Science and Statistics: Applications and Fundamentals". A huge thanks to those who have... (read more)
(68 words, approximately 1 minute reading time)written by Eric J. Ma on 2016-06-07 | tags: python programming optimization
I highlight the use of PyPy, numba, scipy, numpy, and Cython as strategies for speeding up your Python code.
written by Eric J. Ma on 2016-06-03
This year at PyCon 2016, totally inspired by DB, I did the "hallway track".
What's the hallway track, you say? Basically, it means spending the majority of my time in the hallways of the... (read more)
(318 words, approximately 2 minutes reading time)