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trytond-stock-supply-day-4.2.1-4.lbn25.py37.noarch
stock-supply-day module for Tryton application server.
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Core Linux
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BastionLinux 25
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trytond-stock-supply-forecast-4.2.1-1.lbn25.py37.noarch
stock-supply-forecast module for Tryton application server.
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Core Linux
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BastionLinux 25
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trytond-stock-supply-production-4.2.0-1.lbn25.py37.noarch
stock-supply-production module for Tryton application server.
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Core Linux
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BastionLinux 25
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trytond-timesheet-4.2.1-4.lbn25.py37.noarch
timesheet module for Tryton application server.
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Core Linux
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BastionLinux 25
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trytond-timesheet-cost-4.2.1-1.lbn25.py37.noarch
timesheet-cost module for Tryton application server.
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Core Linux
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BastionLinux 25
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trytond-web-user-4.2.2-1.lbn25.py37.noarch
web-user module for Tryton application server.
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Core Linux
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BastionLinux 25
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trytond-webdav-4.2.1-1.lbn25.py37.noarch
webdav module for Tryton application server.
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Core Linux
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BastionLinux 25
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python3-bcolz-1.1.2-1.lbn25.x86_64
bcolz provides columnar and compressed data containers. Column storage allows
for efficiently querying tables with a large number of columns. It also allows
for cheap addition and removal of column. In addition, bcolz objects are
compressed by default for reducing memory/disk I/O needs. The compression
process is carried out internally by Blosc, a highperformance compressor that
is optimized ...
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Big Data
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BastionLinux 25
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python3-blaze-0.10.1-1.lbn25.py37.noarch
|Build Status| |Coverage Status| |Join the chat at translates a subset of
modified NumPy and Pandaslike syntax to databases and other computing systems.
Blaze allows Python users a familiar interface to query data living in other
data storage systems.Example We point blaze to a simple dataset in a foreign
database (PostgreSQL). Instantly we see results as we would see them in a
Pandas ...
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Big Data
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BastionLinux 25
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python3-bqplot-0.10.0a5-1.lbn25.py37.noarch
In bqplot, every single attribute of the plot is an interactive widget. This allows the user to integrate any plot with IPython widgets to create a complex and feature rich GUI from just a few simple lines of Python code.
Goals
provide a unified framework for 2-D visualizations with a pythonic API.
provide a sensible API for adding user interactions (panning, zooming, selection, etc)
Two APIs are provided
Users can build custom visualizations using the internal object model, which is inspired by the constructs of the Grammar of Graphics (figure, marks, axes, scales), and enrich their visualization with our Interaction Layer.
Or they can use the context-based API similar to Matplotlib's pyplot, which provides sensible default choices for most parameters.
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BastionLinux 25
