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Welcome to nolearn’s documentation!¶ This package contains a number of utility modules that are helpful with machine learning tasks. Most of the modules work together with scikit-learn, others are more generally useful. nolearn’s source is hosted on Github. Releases can be downloaded on PyPI. Installation¶ We recommend using virtualenv to install nolearn. To install the latest version of nolearn f
Blinker Documentation¶ Blinker provides fast & simple object-to-object and broadcast signaling for Python objects. The core of Blinker is quite small but provides powerful features: a global registry of named signals anonymous signals custom name registries permanently or temporarily connected receivers automatically disconnected receivers via weak referencing sending arbitrary data payloads colle
Welcome to Plan¶ Welcome to Plan’s documentation. This documentation is mainly divided into two parts. You can get started with Installation and then have a look at Quickstart in order to have a feel about how plan looks like. You can head over to Tutorial if you want to know how to use Plan in real life. The rest part of the user’s guide is about how to define one specific job or plan object and
at·test /əˈtɛst/ To affirm to be correct, true, or genuine. Attest is a test automation framework for Python emphasising modern idioms and conventions. from attest import Tests math = Tests() @math.test def arithmetics(): """Ensure that the laws of physics are in check.""" assert 1 + 1 == 2 if __name__ == '__main__': math.run() Features¶ Collect tests using decorators instead of matching names aga
Welcome to SpPy’s documentation!¶ SpPy is a fast sparse matrix/array library written in Python and based on the C++ matrix library Eigen. A sparse matrix is one in which many of the elements are zeros, and by storing only non-zero elements, one can often make memory and computational savings over dense matrices which store all elements. The library supports (compressed) sparse matrices, sparse vec
What is it? Pythran is a python to c++ compiler for a subset of the python language. It takes a python module annotated with a few interface description and turns it into a native python module with the same interface, but (hopefully) faster. It is meant to efficiently compile scientific programs, and takes advantage of multi-cores and SIMD instruction units. Pythran development is currently done
Welcome¶ Passlib is a password hashing library for Python 2 & 3, which provides cross-platform implementations of over 30 password hashing algorithms, as well as a framework for managing existing password hashes. It’s designed to be useful for a wide range of tasks, from verifying a hash found in /etc/shadow, to providing full-strength password hashing for multi-user application. As a quick sample
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