Reproducible Analytical Pipelines
...but are particularly useful for code in text files for example R or Python code. Whilst git can be used locally on a single machine, or many networked machines, git...
...but are particularly useful for code in text files for example R or Python code. Whilst git can be used locally on a single machine, or many networked machines, git...
...and decision-making more transparent. Why use open source code for data analysis? To summarise many other articles on the benefits of using open source code for data analysis: Analyses and...
...code. March - publish Renewals front-end code. May - publish a reworked new application form. Any appropriate new components that can be extracted will be open sourced. June - open...
...of code working properly you can very quickly reuse the same code again, changing it to collect different metrics and dimensions. For example in the complete script I have quickly...
...recommend that the team should prioritise the implementation of the shared continuous integration environment to enable end-to-end testing in beta. Make all new source code open and reusable The team...
...to do this the first time you run it The script needs to be saved and authorised The code You can paste the code straight into the script editor window....
...its new patient-facing service will start publishing code as that part of the service moves into beta. The panel were satisfied that there was sufficient potential to meet the requirement...
...I was new to git but it was very useful to use these new skills to share my code with my mentor. Make sure that your data is ready to...
...suites above building a new separate interface. The panel was impressed that the service have already got commitment from the 3 vendors of custody software to integrate with the new...
...source stuff. RAP is more than writing clean code To the person that wrote that RAP is a redefinition of documenting your code so that another person can read it,...