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Objects are created using a special method in the class known as a constructor. Here are a few key terms in class-based OOP: Class variables – belong to the class itself, so all objects in the class share one copy. Instance variables – belong to individual objects; every object has its own version of these variables.
Setuptools, a package development process library designed to facilitate packaging Python projects by enhancing the Python distutils (distribution utilities) standard library. Sphinx, which converts reStructuredText files into HTML websites and other formats including PDF, EPub and Man pages; SQLAlchemy, database backend and ORM
Front-end web development is the development of the graphical user interface of a website through the use of HTML, CSS, and JavaScript so users can view and interact with that website. [1] [2] [3] [4]
The Lua stack is somewhat different from a traditional stack; the stack can be indexed directly, for example. Negative indices indicate offsets from the top of the stack. For example, −1 is the top (most recently pushed value), while positive indices indicate offsets from the bottom (oldest value).
GitHub (/ ˈ ɡ ɪ t h ʌ b /) is a proprietary developer platform that allows developers to create, store, manage, and share their code. It uses Git to provide distributed version control and GitHub itself provides access control, bug tracking, software feature requests, task management, continuous integration, and wikis for every project. [8]
The Java documentation on garbage collection of remote objects still refer to the pioneering work done for Modula-3 Network Objects. [21] Python's implementation of classes was also inspired by the class mechanism found in C++ and Modula-3. [22] Also the language Nim makes use of some aspects of Modula-3, such as traced vs untraced pointers.
The project has not been updated in years and the author indicated the project is not active anymore. SDC – The Snazzy D Compiler [53] uses a custom front-end and LLVM as its compiler back-end. It is written in D and uses a scheduler to handle symbol resolution in order to elegantly handle the compile-time features of D.
Go was designed at Google in 2007 to improve programming productivity in an era of multicore, networked machines and large codebases. [22] The designers wanted to address criticisms of other languages in use at Google, but keep their useful characteristics: [23]