Scraping in

Scraping in

If you are like us, the Christmas period offered the first chance to visit family and friends since the arrival of COVID-19. Unfortunately, the resurgence of the virus during our time in Melbourne has meant that we wanted to the monitor the list of exposure sites as listed on the DHHS website, a task which is well suited to a python script rather than one of us.

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A lifetime extented

A lifetime extented

In the quest for the perfect hiking tent, we found ourselves with a Nemo equipment Dagger Ultralight backpacking tent. Our friend had recently purchased the 3-person tent and the tent was (at the time) the number one pick on OutdoorGearLab, which meant that even though we had not tired the tent ourselves, it was likely going to be a good-quality tent. Given the Australia Tax can be particularly brutal for outdoor gear, we elected to purchase the tent in the USA and have it shipped to a friend living in Washington DC who was very kind and offered to forward it onto us. In the end it would turn out that his partner would be coming to Australia for a visit, so she took it directly with her on the plane and avoided the shipping kerfuffle. The first thing we did with the tent was take it on an eight day walk: the South Coast Track in Tasmania’s wilderness and delightfully the tent was up to the task.

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A flight map to call my own

A flight map to call my own

I enjoy both looking at at making maps, and given my penchant for travel it seems only natural to make travel maps. Previous mapping projects have involved the locations at which I have taken photos and travel expenses at various European locations. At some point, I decided that it would be cool to visualise the flights I have taken during my lifetime, and so here we are.

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