Old Reliable Tech @oldreliabletech
We help organisations use custom software to get a competitive edge. Strong preference for projects with positive social impact. oldreliable.tech United Kingdom Joined February 2019-
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Old Reliable Tech retweeted
Check this out! Some great work from @oldreliabletech And if you are a scientist looking to improve your coding work, you should check out their Git for Scientists online course. It's fab!
Check this out! Some great work from @oldreliabletech And if you are a scientist looking to improve your coding work, you should check out their Git for Scientists online course. It's fab!
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We recently helped the @SatAppsCatapult optimise their distributed satellite data processing code. Learn how we got it running 10x faster! oldreliable.tech/case-studies/s…
We help startups move quickly. A case study on our project for @RiskLedger, where we developed a web service to automatically fill in cyber security compliance questionnaires. oldreliable.tech/case-studies/r…
We've completely revamped our website with a fresh new design and better descriptions of how we help our clients. Check it out! oldreliable.tech
Old Reliable Tech retweeted
Having trouble with your software? Have a problem software should solve? Bring your problems on 27th March & come along for a chat. @oldreliabletech is at @OCFI_OI OCFI all day to explore your issues and guide you through possible solutions bit.ly/2P60HIv
Learn more about how we work! Check out the case study of our work with @ECMWF on their #opensource climate data visualisation libraries. oldreliable.tech/case-study/ecm…
Great to meet old friends and new at #Space2Connect2020 Lots of exciting tech being developed in the #UKSpace sector!
New year new website. More content coming soon! oldreliable.tech
We've released Steamroller, the opinionated code formatter for #erlang. Check it out on GitHub: github.com/old-reliable/s…
Old Reliable Tech retweeted
Always wanted to work with @ECMWF BUFR & GRIB data under Windows? Try our new releases of ecCodes and Magics for Windows. Just install with 'conda install -c conda-forge Magics' and try our Jupyter notebooks: github.com/ecmwf/notebook… Thanks @oldreliabletech for helping!
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