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PyPy
PyPy () is an implementation of the Python programming language. PyPy often runs faster than the standard implementation CPython because PyPy uses a just-in-time compiler. Most Python code runs well on PyPy except for code that depends on CPython extensions, which either does not work or incurs some overhead when run in PyPy. Internally, PyPy uses a technique known as meta-tracing, which transforms an interpreter into a tracing just-in-time compiler. Since interpreters are usually easier to write than compilers, but run slower, this technique can make it easier to produce efficient implementations of programming languages. PyPy's meta-tracing toolchain is called RPython. PyPy does not have full compatibility with more recent versions of the CPython ecosystem. While it claims compatibility with Python 2.7, 3.7, 3.8 and 3.9 ("a drop-in replacement for CPython"), it loses out on newer features and syntax in Python 3.10, such as syntax for pattern matching. Details and motivation P ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Pypy
PyPy () is an implementation of the Python programming language. PyPy often runs faster than the standard implementation CPython because PyPy uses a just-in-time compiler. Most Python code runs well on PyPy except for code that depends on CPython extensions, which either does not work or incurs some overhead when run in PyPy. Internally, PyPy uses a technique known as meta-tracing, which transforms an interpreter into a tracing just-in-time compiler. Since interpreters are usually easier to write than compilers, but run slower, this technique can make it easier to produce efficient implementations of programming languages. PyPy's meta-tracing toolchain is called RPython. PyPy does not have full compatibility with more recent versions of the CPython ecosystem. While it claims compatibility with Python 2.7, 3.7, 3.8 and 3.9 ("a drop-in replacement for CPython"), it loses out on newer features and syntax in Python 3.10, such as syntax for pattern matching. Details and motivation P ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
RPython
PyPy () is an implementation of the Python programming language. PyPy often runs faster than the standard implementation CPython because PyPy uses a just-in-time compiler. Most Python code runs well on PyPy except for code that depends on CPython extensions, which either does not work or incurs some overhead when run in PyPy. Internally, PyPy uses a technique known as meta-tracing, which transforms an interpreter into a tracing just-in-time compiler. Since interpreters are usually easier to write than compilers, but run slower, this technique can make it easier to produce efficient implementations of programming languages. PyPy's meta-tracing toolchain is called RPython. PyPy does not have full compatibility with more recent versions of the CPython ecosystem. While it claims compatibility with Python 2.7, 3.7, 3.8 and 3.9 ("a drop-in replacement for CPython"), it loses out on newer features and syntax in Python 3.10, such as syntax for pattern matching. Details and motivation P ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Python (programming Language)
Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Python is dynamically-typed and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional programming. It is often described as a "batteries included" language due to its comprehensive standard library. Guido van Rossum began working on Python in the late 1980s as a successor to the ABC programming language and first released it in 1991 as Python 0.9.0. Python 2.0 was released in 2000 and introduced new features such as list comprehensions, cycle-detecting garbage collection, reference counting, and Unicode support. Python 3.0, released in 2008, was a major revision that is not completely backward-compatible with earlier versions. Python 2 was discontinued with version 2.7.18 in 2020. Python consistently ranks as ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Psyco
Psyco is an unmaintained specializing just-in-time compiler for pre-2.7 Python originally developed by Armin Rigo and further maintained and developed by Christian Tismer. Development ceased in December, 2011. Psyco ran on BSD-derived operating systems, Linux, Mac OS X and Microsoft Windows using 32-bit Intel-compatible processors. Psyco was written in C and generated only 32-bit x86-based code. Although Tismer announced on 17 July 2009 that work was being done on a second version of Psyco, a further announcement declared the project "unmaintained and dead" on 12 March 2012 and pointed visitors to PyPy instead. Unlike Psyco, PyPy incorporates an interpreter and a compiler that can generate C, improving its cross-platform compatibility over Psyco. Speed enhancement Psyco can noticeably speed up CPU-bound applications. The actual performance depends greatly on the application and varies from a slight slowdown to a 100x speedup. The average speed improvement is typically in th ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Tracing Just-in-time Compilation
Tracing just-in-time compilation is a technique used by virtual machines to optimize the execution of a program at runtime. This is done by recording a linear sequence of frequently executed operations, compiling them to native machine code and executing them. This is opposed to traditional just-in-time (JIT) compilers that work on a per-method basis. Overview Just-in-time compilation is a technique to increase execution speed of programs by compiling parts of a program to machine code at runtime. One way to categorize different JIT compilers is by their compilation scope. Whereas method-based JIT compilers translate one method at a time to machine code, tracing JITs use frequently executed loops as their unit of compilation. Tracing JITs are based on the assumptions that programs spend most of their time in some loops of the program ("hot loops") and subsequent loop iterations often take similar paths. Virtual machines that have a tracing JIT are often mixed-mode execution en ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Stackless Python
Stackless Python, or Stackless, is a Python programming language interpreter, so named because it avoids depending on the C call stack for its own stack. In practice, Stackless Python uses the C stack, but the stack is cleared between function calls. The most prominent feature of Stackless is microthreads, which avoid much of the overhead associated with usual operating system threads. In addition to Python features, Stackless also adds support for coroutines, communication channels, and task serialization. Design With Stackless Python, a running program is split into microthreads that are managed by the language interpreter itself, not the operating system kernel—context switching and task scheduling is done purely in the interpreter (these are thus also regarded as a form of green thread). Microthreads manage the execution of different subtasks in a program on the same CPU core. Thus, they are an alternative to event-based asynchronous programming and also avoid the overhead ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
CPython
CPython is the reference implementation of the Python (programming language), Python programming language. Written in C (programming language), C and Python, CPython is the default and most widely used implementation of the Python language. CPython can be defined as both an interpreter (computing), interpreter and a compiler as it compiles Python code into bytecode before interpreting it. It has a foreign function interface with several languages, including C, in which one must explicitly write Language binding, bindings in a language other than Python. Design A particular feature of CPython is that it makes use of a global interpreter lock (GIL) on each CPython interpreter process (computing), process, which means that within a single process, only one thread may be processing Python bytecode at any one time. This does not mean that there is no point in Multithreading (computer architecture), multithreading; the most common multithreading scenario is where Thread (computing) ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Coding Sprint
A hackathon (also known as a hack day, hackfest, datathon or codefest; a portmanteau of hacking and marathon) is an event where people engage in rapid and collaborative engineering over a relatively short period of time such as 24 or 48 hours. They are often run using agile software development practices, such as sprint-like design wherein computer programmers and others involved in software development, including graphic designers, interface designers, product managers, project managers, domain experts, and others collaborate intensively on engineering projects, such as software engineering. The goal of a hackathon is to create functioning software or hardware by the end of the event. Hackathons tend to have a specific focus, which can include the programming language used, the operating system, an application, an API, or the subject and the demographic group of the programmers. In other cases, there is no restriction on the type of software being created or the design of the ne ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
PyPI
The Python Package Index, abbreviated as PyPI () and also known as the Cheese Shop (a reference to the ''Monty Python's Flying Circus'' sketch " Cheese Shop"), is the official third-party software repository for Python. It is analogous to the CPAN repository for Perl and to the CRAN repository for R. PyPI is run by the Python Software Foundation, a charity. Some package managers, including pip, use PyPI as the default source for packages and their dependencies. more than 350,000 Python packages can be accessed through PyPI. PyPI primarily hosts Python packages in the form of archives called (source distributions) or precompiled "wheels." PyPI as an index allows users to search for packages by keywords or by filters against their metadata, such as free software license or compatibility with POSIX. A single entry on PyPI is able to store, aside from just a package and its metadata, previous releases of the package, precompiled wheels (e.g. containing DLLs on Windows), as ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Pattern Matching
In computer science, pattern matching is the act of checking a given sequence of tokens for the presence of the constituents of some pattern. In contrast to pattern recognition, the match usually has to be exact: "either it will or will not be a match." The patterns generally have the form of either sequences or tree structures. Uses of pattern matching include outputting the locations (if any) of a pattern within a token sequence, to output some component of the matched pattern, and to substitute the matching pattern with some other token sequence (i.e., search and replace). Sequence patterns (e.g., a text string) are often described using regular expressions and matched using techniques such as backtracking. Tree patterns are used in some programming languages as a general tool to process data based on its structure, e.g. C#, F#, Haskell, ML, Python, Ruby, Rust, Scala, Swift and the symbolic mathematics language Mathematica have special syntax for expressing tree patt ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Foreign Function Interface
A foreign function interface (FFI) is a mechanism by which a program written in one programming language can call routines or make use of services written in another. Naming The term comes from the specification for Common Lisp, which explicitly refers to the language features for inter-language calls as such; the term is also used officially by the Haskell, Rust, and Python programming languages. Other languages use other terminology: the Ada programming language talks about "language bindings", while Java refers to its FFI as the JNI (Java Native Interface) or JNA (Java Native Access). Foreign function interface has become generic terminology for mechanisms which provide such services. Operation The primary function of a foreign function interface is to mate the semantics and calling conventions of one programming language (the ''host'' language, or the language which defines the FFI), with the semantics and conventions of another (the ''guest'' language). This process ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Pylons Project
Pylons Project is an open-source organization that develops a set of web application technologies written in Python. Initially the project was a single web framework called Pylons, but after the merger with the repoze.bfg framework under the new name Pyramid, the Pylons Project now consists of multiple related web application technologies. Pyramid Pyramid is an open source web framework written in Python and is based on WSGI. It is a minimalistic web framework inspired by Zope, Pylons and Django. Originally called "repoze.bfg", Pyramid gathered attention mostly in the Zope and Plone community as the Open Society Institute's KARL project migrated from Plone to BFG. In 2010 it was announced that the Pylons framework will move over to using BFG as a base in version 1.5. As a result of the inclusion of BFG into the Pylons project, BFG was renamed Pyramid. Features Pyramid is a minimalistic, platform-independent web framework. It is persistence agnostic and is integrated both with ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
