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Dask is an open-source Python library for parallel computing.Dask [1] scales Python code from multi-core local machines to large distributed clusters in the cloud. Dask provides a familiar user interface by mirroring the APIs of other libraries in the PyData ecosystem including: Pandas, scikit-learn and NumPy.
Python builtin and standard emulation library JavaScript implementations of the commonly used modules, builtins and classes in the Python standard runtime library (such as strings, lists, dictionaries, tuples, sets, getattr, map, filter, range, etc.; basic exception handling, a basic datetime and a basic math module). pyjs DOM library [5]
Celery is written in Python, but the protocol can be implemented in any language. It can also operate with other languages using webhooks. [4] There is also a Ruby-Client called RCelery, [5] a PHP client, [6] a Go client, [7] a Rust client, [8] and a Node.js client. [9] Celery requires a message broker to run.
a shared library that an extant interpreter can link to as some form of extension module, or; a shared library that can be linked to other programs compiled in the target language (for example, using Java Native Interface (JNI) in Java). a shared dynamic library source code that should be compiled and dynamically loaded (e.g. Node.js native ...
Construct, a python library for the declarative construction and deconstruction of data structures; Genshi, a template engine for XML-based vocabularies; IPython, a development shell both written in and designed for Python; Jinja, a Python-powered template engine, inspired by Django's template engine; Kid, simple template engine for XML-based ...
A Node-RED flow describes the connection and sequencing of various input, output, and processing nodes within the Node-RED platform. Each node within a flow performs a unique and specific task. When data is transmitted to a node, the node processes it according to its designated function, before passing it on to the subsequent node in the flow.
The library is designed to reduce computing power and memory use and to train large distributed models with better parallelism on existing computer hardware. [2] [3] DeepSpeed is optimized for low latency, high throughput training. It includes the Zero Redundancy Optimizer (ZeRO) for training models with 1 trillion or more parameters. [4]
spaCy (/ s p eɪ ˈ s iː / spay-SEE) is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython. [3] [4] The library is published under the MIT license and its main developers are Matthew Honnibal and Ines Montani, the founders of the software company Explosion.