Synonyms for cython or Related words with cython
Examples of "cython"
files have a codice_1 extension. At its most basic,
code looks exactly like Python code. However, whereas standard Python is dynamically typed, in
, types can optionally be provided, allowing for improved performance, allowing loops to be converted into C loops where possible. For example:
The library is highly optimized for performance, with critical code paths written in
is a derivative of the Pyrex language, and supports more features and optimizations than Pyrex.
can increase the speed of SageMath programs, as the Python code is converted into C.
Cython's domain is not limited to just numerical computing. For example, the lxml XML toolkit is written mostly in
, and like its predecessor Pyrex,
is used to provide Python bindings for many C and C++ libraries like the messaging library ZeroMQ.
can also be used to develop parallel programs for multi-core processor machines; this feature makes use of the OpenMP library.
Attic is a Backup system written mostly in Python (some performance critical parts are implemented in C and
scikit-image is largely written in Python, with some core algorithms written in
to achieve performance.
Scikit-learn is largely written in Python, with some core algorithms written in
to achieve performance. Support vector machines are implemented by a
wrapper around LIBSVM; logistic regression and linear support vector machines by a similar wrapper around LIBLINEAR.
was forked from Pyrex in 2007 by developers of the Sage computer algebra package, because they were unhappy with Pyrex's limitations and could not get patches accepted by Pyrex's maintainer Greg Ewing, who envisioned a much smaller scope for his tool than the Sage developers had in mind. They then forked Pyrex as SageX. When they found people were downloading Sage just to get SageX, and developers of other packages (including Stefan Behnel, who maintains the XML library LXML) were also maintaining forks of Pyrex, SageX was split off the Sage project and merged with
-lxml to become
is written in Python and works on Windows, Linux, and macOS, producing source files compatible with CPython 2.4 through 3.5.
is a compiled language that generates CPython extension modules. These extension modules can then be loaded and used by regular Python code using the import statement.
Performance depends both on what C code is generated by
and how that code is compiled by the C compiler.
is particularly popular among scientific users of Python, where it has "the perfect audience" according to Python developer Guido van Rossum. Of particular note:
program that implements the same algorithm as a corresponding Python program may consume fewer computing resources such as core memory and processing cycles due to differences between the CPython and
execution models. A basic Python program is loaded and executed by the CPython virtual machine, so both the runtime and the program itself consume computing resources. A
program is compiled to C code, which is further compiled to machine code, so the virtual machine is used only briefly when the program is loaded.
is a superset of the Python programming language, designed to give C-like performance with code which is mostly written in Python.
A sample hello world program for
is more complex than in most languages because it interfaces with the Python C API and the codice_2 extension building facility. At least three files are required for a basic project:
has a foreign function interface for invoking C/C++ routines and the ability to declare the static type of subroutine parameters and results, local variables, and class attributes.
Gensim is a mature open-source vector space modeling and topic modeling toolkit implemented Python. It uses NumPy, SciPy and optionally
for performance. It is specifically designed to handle large text collections, using data streaming and efficient incremental algorithms, which differentiates it from most other scientific software packages that only target batch and in-memory processing.
Rather than reinventing the wheel, Sage (which is written mostly in Python and
) integrates many specialized mathematics software packages into a common interface, for which a user needs to know only Python. However, Sage contains hundreds of thousands of unique lines of code adding new functions and creating the interface between its components.
spaCy is an open-source software library for advanced Natural Language Processing, written in the programming languages Python and
. It offers the fastest syntactic parser in the world. The library is published under the MIT license and currently supports English and German, as well as tokenization for Chinese and several other languages.
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