- software-development 2
- go 1
- shell 1
- unix 1
- data-science 1
- podcast 1
- datascience 1
- neoway 1
- feature-engineering 1
- pyspark 1
- dataops 1
software-development
DataOpscience? Learning vs Doing

Pragmatically exploring and choosing tools for better Analytics
From Notebooks to Production Software
Personal experience on learning software development as a ‘data scientist’.
go
Why Go?
Details on the thought process of adopting Go
shell
7 Unix Commands Every Data Scientist Should Know
In many situations, unprepared data scientists can spend much more time than necessary on secondary tasks. Although their attention should stay on analyzing data, checking hypothesis, engineering features, etc., they often need to get their hands dirty and code auxiliary scripts and parsers to get the information they need.
unix
7 Unix Commands Every Data Scientist Should Know
In many situations, unprepared data scientists can spend much more time than necessary on secondary tasks. Although their attention should stay on analyzing data, checking hypothesis, engineering features, etc., they often need to get their hands dirty and code auxiliary scripts and parsers to get the information they need.
data-science
From Notebooks to Production Software
Personal experience on learning software development as a ‘data scientist’.
podcast
[podcast] André Boechat and Eduardo Bellani

[Portuguese only] An interview with André Boechat conducted by Eduardo Bellani.
datascience
[podcast] André Boechat and Eduardo Bellani

[Portuguese only] An interview with André Boechat conducted by Eduardo Bellani.
neoway
[podcast] André Boechat and Eduardo Bellani

[Portuguese only] An interview with André Boechat conducted by Eduardo Bellani.
feature-engineering
Neoway’s Feature Framework

Scalling data science development
pyspark
Neoway’s Feature Framework

Scalling data science development
dataops
DataOpscience? Learning vs Doing

Pragmatically exploring and choosing tools for better Analytics