Apex is a proprietary language which has been developed by Salesforce.com. Apex is a strongly typed, object-oriented programming language that allows developers to execute flow and transaction control statements on the Force.com platform server in conjunction with calls to the Force.com API.
Apex Code is designed explicitly for expressing business logic and manipulating data, rather than generically supporting other programming tasks such as user interfaces and interaction.
Apex Code is therefore conceptually closer to the stored procedure languages common in traditional database environments, such as PL/SQL and Transact-SQL. But unlike those languages, which due to their heritage can be terse and difficult to use, Apex Code uses a Java-like syntax, making it straightforward for most developers to understand.
And like Java, Apex Code is strongly typed, meaning that the code is compiled by the developer before it is executed, and that variables must be associated with specific object types during this compile process. Control structures are also Java-like, with for/while loops and iterators borrowing that syntax directly. Because Apex Code is a process and data language, developers will primarily interact with APIs to query, manipulate and save information in their custom and standard objects.
Developers can select data using the existing Salesforce Object Query Language (SOQL) syntax already found in the existing Web services API, as well as a new addition to that syntax that can retrieve information from multiple objects via a single query.
Confluence is a team collaboration software. Written in Java and mainly used in corporate environments, it is developed and marketed by Atlassian. Confluence is sold as either on-premises software or as software as a service.
Confluence is our collaboration wiki tool used to help teams to collaborate and share knowledge efficiently. With Confluence, your users can create pages and blogs which can be commented on and edited by all members of the team. For example, you will be able to create a roadmap easily, create notes containing checklist, create a knowledge base and centralize everything in one place. You can also attach files, like your excel planning and display it on a page for more convenience.
Confluence has also been designed to integrate with Jira and they have many integration points, giving Confluence users the ability to view, interact with, and reference Jira issues from a wiki page.
Simple and familiar. Build apps out of composable, easy-to-write blocks using languages you already know.
Super fast, rock solid. Compile-time static analysis ensures the browser does no more work than it needs to.
In Svelte, an application is composed from one or more components. A component is a reusable self-contained block of code that encapsulates markup, styles and behaviours that belong together.
Like Ractive and Vue, Svelte promotes the concept of single-file components: a component is just an .html file. Here's a simple example:
MLlib is Spark’s scalable machine learning library consisting of common learning algorithms and utilities, including classification, regression, clustering, collaborative filtering, dimensionality reduction, as well as underlying optimization primitives, as outlined below:
Classification and regression
Feature extraction and transformation
Spark Core is the foundation of the overall project. It provides distributed task dispatching, scheduling, and basic I/O functionalities, exposed through an application programming interface centered on the RDD abstraction This interface mirrors a functional/higher-order model of programming: a "driver" program invokes parallel operations such as map, filter or reduce on an RDD by passing a function to Spark, which then schedules the function's execution in parallel on the cluster.
These operations, and additional ones such as joins, take RDDs as input and produce new RDDs. RDDs are immutable and their operations are lazy; fault-tolerance is achieved by keeping track of the "lineage" of each RDD so that it can be reconstructed in the case of data loss. RDDs can contain any type of Python, Java, or Scala objects.
Apache Groovy is a powerful, optionally typed and dynamic language, with static-typing and static compilation capabilities, for the Java platform aimed at improving developer productivity thanks to a concise, familiar and easy to learn syntax. It integrates smoothly with any Java program, and immediately delivers to your application powerful features, including scripting capabilities, Domain-Specific Language authoring, runtime and compile-time meta-programming and functional programming.
Flat learning curve
Smooth Java integration
Vibrant and rich ecosystem
Scripting and testing glue
Apache Groovy is a Java-syntax-compatible object-oriented programming language for the Java platform. It is both a static and dynamic language with features similar to those of Python, Ruby, Perl, and Smalltalk. It can be used as both a programming language and a scripting language for the Java Platform, is compiled to Java virtual machine (JVM) bytecode, and interoperates seamlessly with other Java code and libraries. Groovy uses a curly-bracket syntax similar to Java's. Groovy supports closures, multiline strings, and expressions embedded in strings. Much of the Groovy's power lies in its AST transformations, triggered by annotations.