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  2. Dependency hell - Wikipedia

    en.wikipedia.org/wiki/Dependency_hell

    The usual solution is to download and deploy both applications, sometimes from within a temporary environment. Package manager dependencies It is possible [ 4 ] for dependency hell to result from installing a prepared package via a package manager (e.g. APT ), but this is unlikely since major package managers have matured and official ...

  3. Visual Studio Code - Wikipedia

    en.wikipedia.org/wiki/Visual_Studio_Code

    Visual Studio Code was first announced on April 29, 2015, by Microsoft at the 2015 Build conference. A preview build was released shortly thereafter. [13]On November 18, 2015, the project "Visual Studio Code — Open Source" (also known as "Code — OSS"), on which Visual Studio Code is based, was released under the open-source MIT License and made available on GitHub.

  4. Unreachable code - Wikipedia

    en.wikipedia.org/wiki/Unreachable_code

    In computer programming, unreachable code is part of the source code of a program which can never be executed because there exists no control flow path to the code from the rest of the program. [ 1 ] Unreachable code is sometimes also called dead code , [ 2 ] [ 3 ] although dead code may also refer to code that is executed but has no effect on ...

  5. Anaconda (Python distribution) - Wikipedia

    en.wikipedia.org/wiki/Anaconda_(Python_distribution)

    Conda is an open source, [16] cross-platform, [17] language-agnostic [18] package manager and environment management system [19] [20] [50] that installs, runs, and updates packages and their dependencies. [16] It was created for Python programs, but it can package and distribute software for any language (e.g., R), including multi-language ...

  6. Conda (package manager) - Wikipedia

    en.wikipedia.org/wiki/Conda_(Package_Manager)

    Conda is an open-source, [2] cross-platform, [3] language-agnostic package manager and environment management system. It was originally developed to solve package management challenges faced by Python data scientists , and today is a popular package manager for Python and R .

  7. Code completion - Wikipedia

    en.wikipedia.org/wiki/Code_completion

    Code completion is an autocompletion feature in many integrated development environments (IDEs) that speeds up the process of coding applications by fixing common mistakes and suggesting lines of code. This usually happens through popups while typing, querying parameters of functions, and query hints related to syntax errors.

  8. Language Server Protocol - Wikipedia

    en.wikipedia.org/wiki/Language_Server_Protocol

    The Language Server Protocol (LSP) is an open, JSON-RPC-based protocol for use between source code editors or integrated development environments (IDEs) and servers that provide "language intelligence tools": [1] programming language-specific features like code completion, syntax highlighting and marking of warnings and errors, as well as refactoring routines.

  9. Defensive programming - Wikipedia

    en.wikipedia.org/wiki/Defensive_programming

    Many software products have experienced problems with old legacy source code; for example: Legacy code may not have been designed under a defensive programming initiative, and might therefore be of much lower quality than newly designed source code. Legacy code may have been written and tested under conditions which no longer apply.