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Pexpect — Python module for controlling interactive programs in a pseudo-terminal; winpexpect — port of pexpect to the Windows platform; paramiko-expect — A Python expect-like extension for the Paramiko SSH library which also supports tailing logs.
The similarity of Pyrex's syntax to Python's makes it easy to write Python modules, but there are some functional limitations. [3] The programmer must specify the name of C-header files, enumerations , datatypes and functions needing to be accessed in the module, then they can be used as if they were Python objects.
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 ...
Python (programming language) scientific libraries (36 P) Pages in category "Python (programming language) libraries" The following 43 pages are in this category, out of 43 total.
Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis.In particular, it offers data structures and operations for manipulating numerical tables and time series.
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.
The Unicorn library automation system they developed was first installed at Georgia Tech. Sirsi acquired Data Research Associates (DRA) for $51.5 million in 2001. [3] [4] The Dynix Corporation was founded in 1983. Their major product was the Dynix Automated Library System. In January 1992, Dynix Systems was acquired by Ameritech. [5]
Theano is a Python library and optimizing compiler for manipulating and evaluating mathematical expressions, especially matrix-valued ones. [2] In Theano, computations are expressed using a NumPy -esque syntax and compiled to run efficiently on either CPU or GPU architectures.