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The latest from the COzero team.

Streamlining our deployment processes with Docker and Buildkite
Docker makes replicating builds fast and easy, Buildkite pipelines manage build, test and deploy steps, and AWS removes most management overhead from our infrastructure requirements.
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Tips for getting a job as a developer
If you're thinking about applying for one of our developer roles, here are some tips to help you maximise your chances.
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Insights into Homebuilding
Spending time in Mexico has provided insights into the process of building houses, the challenges involved, as well as the problem solving that makes for safe, secure, and weatherproof homes.
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Image: Christopher Horvath ( licence )

Why don't more companies implement energy efficiency measures?
The energy efficiency paradox has been a topic of academic curiosity for decades. Despite having immense economic and environmental benefits, the majority of companies do not implement meaningful energy efficiency programmes. The barriers are manifold: resistance to change, lack of access to capital, risk aversion, the principal agent problem (landlord vs tenant) and information asymmetry. In spite of these barriers, many companies have taken action on energy efficiency. These businesses generally financially outperform companies that brush energy efficiency aside, and also realise efficiency gains in other areas across the business.
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Sketchnoting at conferences
After doing a sketchnoting workshop a few weeks ago, I gave it a crack at Agile Aus. While my drawings will never win awards, I found the process of sketchnoting dramatically improved my listening and I have greater retention of the talks than I normally would with text-noting.
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Building Hope with Project Mexico
Volunteering with Project Mexico to build homes has been a beautiful experience while staying on the 16 acre ranch of St Innocent's Orphanage.
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Calculating the characteristic function
The Fourier transform of the probability density function is sometimes used to derive certain concepts in Statistics. In this post we describe what it is, its use to describe kernel density estimators and how to calculate it and plot it in Python.
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Density estimation
Being able to measure the degree of randomness (or of our ignorance) on a bunch of values is a critical tool for data science. In this post we explain the basics and how we are applying this to grab early insights from electricity consumption data.
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A/C Temperature Settings for Efficiency and Comfort
We go through settings for your heating and cooling to optimise both occupancy comfort and energy efficiency, while considering the different variables involved.
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Hours of operation and the Gibb's phenomenon
There are many ways to extract insights out of time series data. In this series of posts we explore some of the mathematical foundations in dealing with an apparently simple but, we will see, challenging task: based on the power electricity profile of a business, determine its hours of operation.
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Lambda Management and Deployment
AWS Lambda, the new kid on the block, is an interesting technology. What's harder is developing and deploying lambda functions using CI/CD tooling – thus making it easier to manage, update, test and deploy the functions. We explore how we've started meeting this challenge.
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Using mutant + snapshot testing to prevent regressions in D3 visualisations
D3 is a solid data visualisation tool but writing tests for charts can be tricky due to the way D3 chains function calls together and the sheer amount of code that's involved in bootstrapping a chart. Snapshot testing is a low effort, high reward testing approach popularised by the Jest framework for testing React apps. I've had a go at using it with D3 charts and found it works well with some caveats.
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