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  2. Ninja (build system) - Wikipedia

    en.wikipedia.org/wiki/Ninja_(build_system)

    Ninja is a build system developed by Evan Martin, [4] a Google employee. Ninja has a focus on speed and it differs from other build systems in two major respects: it is designed to have its input files generated by a higher-level build system, and it is designed to run builds as fast as possible.

  3. Binary-code compatibility - Wikipedia

    en.wikipedia.org/wiki/Binary-code_compatibility

    Binary-code compatibility (binary compatible or object-code compatible) is a property of a computer system, meaning that it can run the same executable code, typically machine code for a general-purpose computer central processing unit (CPU), that another computer system can run.

  4. Execution model - Wikipedia

    en.wikipedia.org/wiki/Execution_model

    The language specification defines a statement as a chunk of syntax that is terminated by a ";". The language spec then says that "execution of the program proceeds one statement after the other, in sequence". Those words: "execution of the program proceeds one statement after the other, in sequence" are one piece of the execution model of C.

  5. Python (programming language) - Wikipedia

    en.wikipedia.org/wiki/Python_(programming_language)

    The Python → 11l → C++ transpiler [166] compiles a subset of Python 3 to C++ . Specialized: MyHDL is a Python-based hardware description language (HDL), that converts MyHDL code to Verilog or VHDL code. Older projects (or not to be used with Python 3.x and latest syntax): Google's Grumpy (latest release in 2017) transpiles Python 2 to Go.

  6. Apache Airflow - Wikipedia

    en.wikipedia.org/wiki/Apache_Airflow

    DAGs can be run either on a defined schedule (e.g. hourly or daily) or based on external event triggers (e.g. a file appearing in Hive [5]). Previous DAG-based schedulers like Oozie and Azkaban tended to rely on multiple configuration files and file system trees to create a DAG, whereas in Airflow, DAGs can often be written in one Python file. [6]

  7. Copy-on-write - Wikipedia

    en.wikipedia.org/wiki/Copy-on-write

    Copy-on-write (COW), also called implicit sharing [1] or shadowing, [2] is a resource-management technique [3] used in programming to manage shared data efficiently. Instead of copying data right away when multiple programs use it, the same data is shared between programs until one tries to modify it.

  8. CMake - Wikipedia

    en.wikipedia.org/wiki/CMake

    CMake can locate generated files (both by CMake and the native build tools) in a directory tree that is separate from the source tree. [4] This enables multiple builds from the same source tree since each has non-overlapping file system space. This may be leveraged to build different or even incompatible configurations such as for different ...

  9. Shared library - Wikipedia

    en.wikipedia.org/wiki/Shared_library

    A program that is configured to use a library can use either static-linking or dynamic-linking.Historically, libraries could only be static. [4] For static-linking (), the library is effectively embedded into the programs executable file, while for dynamic-linking the library can be loaded at runtime from a shared location, such as system files.