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  2. List of tools for static code analysis - Wikipedia

    en.wikipedia.org/wiki/List_of_tools_for_static...

    Python. PyCharm – Cross-platform Python IDE with code inspections available for analyzing code on-the-fly in the editor and bulk analysis of the whole project. PyDev – Eclipse-based Python IDE with code analysis available on-the-fly in the editor or at save time. Pylint – Static code analyzer.

  3. Profiling (computer programming) - Wikipedia

    en.wikipedia.org/wiki/Profiling_(computer...

    Software development. In software engineering, profiling ("program profiling", "software profiling") is a form of dynamic program analysis that measures, for example, the space (memory) or time complexity of a program, the usage of particular instructions, or the frequency and duration of function calls. Most commonly, profiling information ...

  4. Program optimization - Wikipedia

    en.wikipedia.org/wiki/Program_optimization

    Program optimization. In computer science, program optimization, code optimization, or software optimization is the process of modifying a software system to make some aspect of it work more efficiently or use fewer resources. [1] In general, a computer program may be optimized so that it executes more rapidly, or to make it capable of ...

  5. Profile-guided optimization - Wikipedia

    en.wikipedia.org/wiki/Profile-guided_optimization

    Profile-guided optimization. Profile-guided optimization (PGO, sometimes pronounced as pogo[1]), also known as profile-directed feedback (PDF), [2] and feedback-directed optimization (FDO) [3] is a compiler optimization technique in computer programming that uses profiling to improve program runtime performance.

  6. Optimizing compiler - Wikipedia

    en.wikipedia.org/wiki/Optimizing_compiler

    An optimizing compiler is a compiler designed to generate code that is optimized in aspects such as minimizing program execution time, memory use, storage size, and power consumption. Optimization is generally implemented as a sequence of optimizing transformations, algorithms that transform code to produce semantically equivalent code ...

  7. Inline expansion - Wikipedia

    en.wikipedia.org/wiki/Inline_expansion

    In computing, inline expansion, or inlining, is a manual or compiler optimization that replaces a function call site with the body of the called function. Inline expansion is similar to macro expansion, but occurs during compilation, without changing the source code (the text), while macro expansion occurs prior to compilation, and results in different text that is then processed by the compiler.

  8. Nuitka - Wikipedia

    en.wikipedia.org/wiki/Nuitka

    nuitka.net. Nuitka (pronounced as / njuːtkʌ / [2]) is a source-to-source compiler which compiles Python code to C source code, applying some compile-time optimizations in the process such as constant folding and propagation, built-in call prediction, type inference, and conditional statement execution. [3][4] Nuitka initially was designed to ...

  9. Common subexpression elimination - Wikipedia

    en.wikipedia.org/wiki/Common_subexpression...

    Common subexpression elimination. In compiler theory, common subexpression elimination (CSE) is a compiler optimization that searches for instances of identical expressions (i.e., they all evaluate to the same value), and analyzes whether it is worthwhile replacing them with a single variable holding the computed value. [1]