written by Eric J. Ma on 2017-10-11 | tags: python programming optimization
I profiled PyPy against CPython when running NumPy code, and found it to be very competitive! Read on more to find out why.
Read on... (684 words, approximately 4 minutes reading time)written by Eric J. Ma on 2017-10-10 | tags: pydata conferences python
Things I prospectively hope to learn at PyData NYC 2017!
Read on... (408 words, approximately 3 minutes reading time)written by Eric J. Ma on 2017-10-10 | tags: programming code snippets
As a data scientist, I routinely find programming skills to be very important. This blog post shows an example of why knowing our data structures and algorithms can really help!
Read on... (857 words, approximately 5 minutes reading time)written by Eric J. Ma on 2017-10-07 | tags: data science bash environment variables programming
Environment variables might seem mysterious, but hopefully, after reading this blog post, you'll no longer feel that way!
Read on... (1861 words, approximately 10 minutes reading time)written by Eric J. Ma on 2017-10-03
Ever since "going corporate", it's meant picking up more new productivity/coding habits. Here's a sampling of what I've learned.
(1) Living by my calendar
Basically, the "work calendar" defines everything about the... (read more)
(468 words, approximately 3 minutes reading time)written by Eric J. Ma on 2017-09-14
Just a little tip, putting it here for myself and others in case it helps.
Sometimes, you need to visualize a large dataset, but it takes a ton of time to render it or compute the necessary transforms.
If your samples are... (read more)
(157 words, approximately 1 minute reading time)written by Eric J. Ma on 2017-09-11 | tags: programming nano text editor coding snippets
Much as I've embraced the Atom text editor, there are times when the GUI isn't accessible to us, and we are forced to use a Terminal-based text editor.
Now, I'm not one of those crazy types who use emacs or vim... (read more)
(393 words, approximately 2 minutes reading time)written by Eric J. Ma on 2017-08-31 | tags: career development data science job hunt
I detail a number of topics that I think might be useful for aspiring data scientists to know.
Read on... (2583 words, approximately 13 minutes reading time)written by Eric J. Ma on 2017-08-24
I recently read a blog article by DataCamp's CTO (Dieter) on how to scale their projects and their engineering team - it's a great read! In the article, Dieter states... (read more)
(440 words, approximately 3 minutes reading time)written by Eric J. Ma on 2017-08-10 | tags: job hunt data science insight data science
Signed and done! I will be joining the Novartis Institutes for Biomedical Research (NIBR) in September, as part of the Scientific Data Analysis (SDA) team under Novartis Informatics (NX).
NIBR is the research arm of Novartis, and the SDA... (read more)
(193 words, approximately 1 minute reading time)