Deploy Red Hat Enterprise Linux on Microsoft Azure for a secure, reliable, and scalable cloud environment, fully integrated with Microsoft services.
Red Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
Saves time by automating campaign conventions and UTM Link creation
CampaignTrackly is a SaaS-based platform that automates the process of adding tracking tags to digital links. The platform enables businesses to build a centralized, consistent and standardized link-tracking strategy in a simple and cost-effective way. It removes ambiguities, simplifies processes and empowers marketers to be in control of their campaign setup and reporting process without the need to use IT code or manual operations. Its ease of use promotes consistency and high adoption rates among platform users, resulting in enhanced insights into the customer journeys and marketing budget spend, which in turn, helps businesses optimize their promotions to increase revenue streams. The platform boasts over 45 automation features across standard Google Analytics, Adobe and Custom tags, as well as, extensive tag library management capabilities, friendly reporting functions, sophisticated team access level management and more.
A Julia interface to the Dash ecosystem for creating analytic web apps
Create beautiful, analytic applications in Julia. Built on top of Plotly.js, React and HTTP.jl, Dash ties modern UI elements like dropdowns, sliders, and graphs directly to your analytical Julia code.
Thin Julia wrapper for GDAL - Geospatial Data Abstraction Library
Julia wrapper for GDAL - Geospatial Data Abstraction Library. This package is a binding to the C API of GDAL/OGR. It provides only a C style usage, where resources must be closed manually, and datasets are pointers. Other packages can build on top of this to provide a more Julian user experience. See for example ArchGDAL.jl. Most users will want to use ArchGDAL.jl instead of using GDAL.jl directly.
Julia bindings to the FFTW library for fast Fourier transforms
This package provides Julia bindings to the FFTW library for fast Fourier transforms (FFTs), as well as functionality useful for signal processing. These functions were formerly a part of Base Julia. Users with a build of Julia based on Intel's Math Kernel Library (MKL) can use MKL for FFTs by setting a preference in their top-level project by either using the FFTW.set_provider!() method, or by directly setting the preference using Preferences.jl. Note that this choice will be recorded...