technology python pickle data-science
Python Pickling for Data Science: Examples and Tips on how to use Pickle as part of your Data Work
12 Jul 2017 Pickle is a well-known Python tool for saving arbitrary variable contents into file. Here are a couple of examples and tips on how you can use it to make your data science work more efficient and easily reproducible.
Read More ›technology codebuild codepipeline docker beanstalk continuous-integration continuous-deployment
Using AWS CodePipeline to Automatically Deploy and Build your App Stored on Github as a Docker-based Beanstalk Application
07 Jul 2017 A full guide on how to set up a continuous deployment pipeline using GitHub and AWS CodePipeline, in order to deploy a Docker-based Beanstalk Application.
Scala Testing with Scalatest: Reference and Examples
06 Jul 2017 Simple examples using ScalaTest to test your Scala projects. Full introduction and examples of all major testing styles supported by this framework.
Debugging NullPointerException in Apache Spark
04 Jun 2017 A lot of things can go wrong when writing distributed code in Spark. Here's a couple of ways to work around/debug NullPointerExceptions.
Read More ›7z: 7zip Usage Examples on Linux
03 Jun 2017 Examples on how to use 7zip to extract and compress data on Linux.
Read More ›machine-learning data-science best-practices
Machine Learning and Data Science: Generally Applicable Tips and Tricks
18 May 2017 A couple of general, practical tips and tricks that may be used when dealing with data science and/or machine learning problems.
Installing and Configuring Golang 1.8 on Ubuntu 16.04
24 Apr 2017 Short guide to installing and configuring Go v1.8 on Ubuntu 16.04.
Read More ›LaTeX: Table Examples
08 Apr 2017 Couple of examples on how to achieve certain table layouts in LaTeX and platforms that support it, such as ShareLaTeX and Overleaf.
Read More ›technology data-science
Data-related Job Descriptions: Making of a Data Team
19 Mar 2017 A simple description of some common job titles / positions of may come across when looking at the data work landscape. See what positions may be best suited for yourself and your company.
Read More ›technology wip scikit-learn
Scikit-Learn Cheatsheet: Reference and Examples
10 Mar 2017 Just a couple of things you may find yourself doing over and over again when working with scikit-learn.
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