Best Practices to create a package library for DSS

I was wondering what's the best way to create a python project in GitHub with different functionalities for DSS and eventually work as a package.

Wrote a npm package to create multi-layered Decision Support ...

... DSS flow. With that in mind, I developed a library with TypeScript, named "multi-layer-dss". Now is published under Open Source MIT licence ...

Reusing Python code — Dataiku DSS 13 documentation

By default, the Library editor contains two top-level folders, “python” and “R”, which are respectively the root folder for Python and R code. You can create ...

How do I succesfully import DSS Library? - Stack Overflow

Best regards, Aleksandr. Share. Share a link to this ... DSA) and their content? 1 · DSpace 4.x: Error while package building with Maven.

1 Package Development | Package Development in R - GitHub Pages

Comments: Comments are the best way to make your code readable. In general ... package follows good practices). For example, running the goodpractice ...

Package authoring best practices - Microsoft Learn

This guidance is intended to give NuGet package authors a lightweight reference to create and publish high-quality packages.

The DSS User's Guide - Bioconductor

... create an object of BSseq class, which is defined in bsseq Bioconductor package. library(DSS) require(bsseq) path = file.path(system.file( ...

Dataiku Delights: Easy Python Package Management - YouTube

In this "Dataiku Delights" episode, Robert Rouse offers a quick tutorial on an efficient method for managing Python packages within Dataiku, ...

IQSS/dss-rbuild: R package development tutorial - GitHub

This repo walks through the process of package development in R, highlighting best practices, including version control, and use of IDEs such as RStudio.

DSS R Interface Project (2) • dssrip2 - hydro

exfile = system.file("extdata/example.dss", package = "dssrip2") # time ... best practice for users to explicitly close the file when they are finished:.

Home · OpenDSSDirect.jl - DSS-Extensions

This package includes OpenDSS as a library. You do not have to install ... Including DLL binaries is not the best practice, but this works well enough for now.

Usage with examples — pyhecdss 1.1.4+1.g70de5b2.dirty ...

... DSS libraries for storage. It is limited to 1-dimensional time series. [6]: ... Best way to work with DSS Files; Convenience methods for matching partnames ...

Creating a package — ROS 2 Documentation: Iron documentation

Best practice is to have a src folder within your workspace, and to create your packages in there. This keeps the top level of the workspace “clean”. A ...

LSEG DataScope Select - REST API

Net SDK, you might find some sections of this tutorial helpful, notably the best practices section. ... Create an instrument list array, outside of the DSS server ...

installing and using differential methylation DSS software

make[1]: *** [Makefile.Rhtslib:128: hfile_libcurl.o] Error 1 ... library(DSS) Loading required package: Biobase Loading required package ...

DYNAMIC SELF SERVICE (DSS) TUTORIAL - Foster Web Marketing

Using DSS to further your marketing efforts begins with creating and ... The best way to get started is to listen to your clients during an intake.

Digital Signature Service - DSS - European Commission

DSS (Digital Signature Services) is an open-source software library for electronic signature creation and validation.

Home · OpenDSSDirect.jl - DSS-Extensions

This package includes OpenDSS as a library. You do not have to install ... jl for an example of an annual simulation split among local CPU cores.

eheisman/dssrip: R functions to read/write data from HEC-DSS files.

dssrip is a package of R functions to read data from HEC-DSS file by making calls to the Java methods exposed in HEC-DSSVue's scripting capability.

So you want to write a package manager | by sam boyer - Medium

The particulars here are Rust-specific, but the general idea is not: parameters are well-defined ways in which the form of the project's output, ...