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| This gist I write, because I couldn't find step by step instructions | |
| how to install and start postgresql locally (using conda within a conda environment - with the result | |
| that you can run it without sudo/admin rights on your machine!) | |
| and not globally in the operating system (which requires sudo/admin rights on that machine). | |
| I hope, this will help especially people new to postgresql (and those who don't have sudo/admin rights on a specific machine but want | |
| to run postgresql there)! | |
| #################################### | |
| # create conda environment |
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| # TimSort by https://quinston.com/code-snippets/timsort-algorthm-search-code/ | |
| import random | |
| def InsertionSort(array): | |
| for x in range (1, len(array)): | |
| for i in range(x, 0, -1): | |
| if array[i] < array[i - 1]: | |
| t = array[i] |
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| # Remarks: | |
| # | |
| # The export is done using the automated testing framework [Selenium](https:// | |
| # de.wikipedia.org/wiki/Selenium) which results in opening a browser window | |
| # (Google Chrome) that might has to be closed by hand. Other than Plotly's | |
| # own `export()` function this one also allows to set the `width` and `height` | |
| # of the exported plot (in the former it's hardcoded to 800x600 pixels). If | |
| # `incl_PDF_copy`/`incl_PNG_copy` is set to `TRUE`, the exported SVG additionally | |
| # gets converted to a PDF/PNG using the R package [`rsvg`](https://github.com/ | |
| # jeroen/rsvg/tree/40576ac326621b40224db344b09158f4ff717433) which relies on |
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