written by Eric J. Ma on 2019-10-18 | tags: python tips optimization packages
cachier, a really nifty tool for caching function results, is really useful and easy-to-use! Come read why.
written by Eric J. Ma on 2019-10-05 | tags: jupyter dataops devops data science
Some notes on how to serve up an HTTPS-enabled Jupyter server.
Read on... (410 words, approximately 3 minutes reading time)written by Eric J. Ma on 2019-10-05 | tags: teaching bayesian statistics
Do we use multiple examples to highlight the same point, or do we take one example and layer on complexity? It all depends.
Read on... (187 words, approximately 1 minute reading time)written by Eric J. Ma on 2019-09-07 | tags: data apps data science devops deployment
Some of the benefits of using Dokku as a PaaS solution for data scientists. It's free, open source, and when paired with the right tools, enables data scientists to focus on making their data app prototypes.
Read on... (779 words, approximately 4 minutes reading time)written by Eric J. Ma on 2019-07-29 | tags: software development sprint code sprint open source community community development
Post-PyCon, I detail some of my thoughts on how one can productively participate in a code sprint as a participant.
Read on... (857 words, approximately 5 minutes reading time)written by Eric J. Ma on 2019-07-26 | tags: data science data products app deployment
The key things I learned building my first Panel app: prototype in the notebook, use .servable() on the thing to serve up, test locally, and use Heroku!
written by Eric J. Ma on 2019-07-23 | tags: data science statistics distributions
It’s mainly because they are the generalization of two distributions, the Cauchy and Gaussian. Come learn more!
Read on... (182 words, approximately 1 minute reading time)written by Eric J. Ma on 2019-07-21 | tags: software development sprint code sprint open source community community development
How can we, as sprint leaders, lead an effective sprint? I share some thoughts, having led a 2nd pyjanitor sprint at SciPy.
written by Eric J. Ma on 2019-07-15 | tags: conference scipy2019 data science
Some thoughts post SciPy 2019 - it was overall a productive and fun conference!
Read on... (767 words, approximately 4 minutes reading time)written by Eric J. Ma on 2019-07-07 | tags: data science estimation statistics
Or, how thinking less precisely and more accurately can be a helpful thing in data science.
Read on... (544 words, approximately 3 minutes reading time)