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Gradle offers support for all phases of a build process including compilation, verification, dependency resolving, test execution, source code generation, packaging and publishing. Because Gradle follows a convention over configuration approach, it is possible to describe all of these build phases in short configuration files.
A full-stack demo has been made with the new Kotlin/JS Gradle Plugin. [19] [20] Kotlin 1.3 was released on 29 October 2018, adding support for coroutines for use with asynchronous programming. [21] On 7 May 2019, Google announced that the Kotlin programming language is now its preferred language for Android app developers. [6]
Build automation is the practice of building software systems in a relatively unattended fashion. The build is configured to run with minimized or no software developer interaction and without using a developer's personal computer.
FilterMeister is a programming environment, with a programming language that is based on C, for the specific purpose of creating Photoshop-compatible image processing filter plug-ins; FilterMeister runs as a Photoshop plug-in itself and it can load and execute scripts or compile and export them as independent plug-ins. Although the ...
Gradle is a build tool that borrows many concepts from its predecessors, Ant and Maven. [11] It uses the build.gradle file to declare the steps required for the project build. [11] Unlike Ant and Maven, which are XML-based, Gradle requires the use of Apache Groovy, which is a Java-based programming language. [11]
Android Studio supports all the same programming languages of IntelliJ (and CLion) e.g. Java, C++, and more with extensions, such as Go; [19] and Android Studio 3.0 or later supports Kotlin, [20] and "Android Studio includes support for using a number of Java 11+ APIs without requiring a minimum API level for your app". [21]
It is commonly used for build automation to build executable code (such as a program or library) from source code. But, not limited to building, Make can perform any operation available via the operating system shell.
Anaconda is a distribution of the Python and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment. Anaconda distribution includes data-science packages suitable for Windows, Linux, and macOS ...