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About

Cython is an optimizing static compiler for both the Python programming language and the extended Cython programming language (based on Pyrex). It makes writing C extensions for Python as easy as Python itself. Cython gives you the combined power of Python and C to let you write Python code that calls back and forth from and to C or C++ code natively at any point. Easily tune readable Python code into plain C performance by adding static type declarations, also in Python syntax. Use combined source code level debugging to find bugs in your Python, Cython, and C code. Interact efficiently with large data sets, e.g. using multi-dimensional NumPy arrays. Quickly build your applications within the large, mature, and widely used CPython ecosystem. The Cython language is a superset of the Python language that additionally supports calling C functions and declaring C types on variables and class attributes.

About

IronPython is an open-source implementation of the Python programming language which is tightly integrated with .NET. IronPython can use .NET and Python libraries, and other .NET languages can use Python code just as easily. Experience a more interactive .NET and Python development experience with Python Tools for Visual Studio. IronPython is an excellent addition to .NET, providing Python developers with the power of the .NET. Existing .NET developers can also use IronPython as a fast and expressive scripting language for embedding, testing, or writing a new application from scratch. The CLR is a great platform for creating programming languages, and the DLR makes it all the better for dynamic languages. Also, the .NET (base class library, presentation foundation, etc.) gives developers an amazing amount of functionality and power. IronPython uses Python syntax and standard libraries and so your Python code will need to be updated accordingly.

About

The RAPIDS suite of software libraries, built on CUDA-X AI, gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs. It relies on NVIDIA® CUDA® primitives for low-level compute optimization, but exposes that GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces. RAPIDS also focuses on common data preparation tasks for analytics and data science. This includes a familiar DataFrame API that integrates with a variety of machine learning algorithms for end-to-end pipeline accelerations without paying typical serialization costs. RAPIDS also includes support for multi-node, multi-GPU deployments, enabling vastly accelerated processing and training on much larger dataset sizes. Accelerate your Python data science toolchain with minimal code changes and no new tools to learn. Increase machine learning model accuracy by iterating on models faster and deploying them more frequently.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Users and developers requiring a static compiler for both Python and Cython programming languages

Audience

Developers requiring a scripting language for embedding, testing, or writing new applications

Audience

Enterprises in search of a solution to execute end-to-end data science and analytics pipelines entirely on GPUs

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Cython
United States
cython.org

Company Information

IronPython
ironpython.net

Company Information

NVIDIA
Founded: 1993
United States
developer.nvidia.com/rapids

Alternatives

h5py

h5py

HDF5

Alternatives

Alternatives

Gensim

Gensim

Radim Řehůřek
Mojo

Mojo

Modular
NVIDIA Brev

NVIDIA Brev

NVIDIA

Categories

Categories

Categories

Integrations

Activeeon ProActive
Anaconda
Apache Spark
C
C++
Capital One Spark Business Banking
Databricks Data Intelligence Platform
Domino Enterprise MLOps Platform
Fortran
Gensim
Gradient
HEAVY.AI
HPE Ezmeral Data Fabric
Iguazio
Kinetica
NVIDIA FLARE
Nuclio
PyCharm
Visual Studio
scikit-image

Integrations

Activeeon ProActive
Anaconda
Apache Spark
C
C++
Capital One Spark Business Banking
Databricks Data Intelligence Platform
Domino Enterprise MLOps Platform
Fortran
Gensim
Gradient
HEAVY.AI
HPE Ezmeral Data Fabric
Iguazio
Kinetica
NVIDIA FLARE
Nuclio
PyCharm
Visual Studio
scikit-image

Integrations

Activeeon ProActive
Anaconda
Apache Spark
C
C++
Capital One Spark Business Banking
Databricks Data Intelligence Platform
Domino Enterprise MLOps Platform
Fortran
Gensim
Gradient
HEAVY.AI
HPE Ezmeral Data Fabric
Iguazio
Kinetica
NVIDIA FLARE
Nuclio
PyCharm
Visual Studio
scikit-image
Claim Cython and update features and information
Claim Cython and update features and information
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