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3040130410 of 38392 results
61622.
a library to parse proxy auto-config (PAC) files. Proxy auto-config files are a vastly used proxy configuration method these days. Web browsers can use a PAC file to determine which proxy server to use or whether to go direct for a given URL. PAC files are written in JavaScript and can be programmed to return different proxy methods (e.g. "PROXY proxy1:port; DIRECT") depending upon URL, source IP address, protocol, time of the day etc. PAC files introduce a lot of possibilities.
Description
(no translation yet)
Located in Package: python-pacparser Package: libpacparser1 Package: libpacparser-dev
61623.
Needless to say, PAC files are now a widely accepted method for proxy configuration management and companies all over are using them in corporate environments. Almost all popular web browsers support PAC files. The idea behind pacparser is to make it easy to add this PAC file parsing capability to any program (C and Python supported right now).
Description
(no translation yet)
Located in Package: python-pacparser Package: libpacparser1 Package: libpacparser-dev
61625.
CouchDB client written in Python to be used within a Twisted application
Summary
(no translation yet)
Located in Package: python-paisley
61626.
Paisley implements the CouchDB API for Twisted.
Description
(no translation yet)
Located in Package: python-paisley
61627.
Python module for simple PAM authentications
Summary
(no translation yet)
Located in Package: python-pampy
61628.
Provide an authenticate() function that will allow the caller to authenticate a user against the Pluggable Authentication Modules (PAM) on the system.
Description
(no translation yet)
Located in Package: python3-pampy Package: python-pampy
61629.
The module pam.py is a single file, implemented using ctypes, so no compilation is necessary.
Description
(no translation yet)
Located in Package: python-pampy
61630.
data structures for "relational" or "labeled" data
Summary
(no translation yet)
Located in Package: python-pandas
61631.
- Tabular data with heterogeneously-typed columns, as in an SQL
table or Excel spreadsheet
- Ordered and unordered (not necessarily fixed-frequency) time
series data.
- Arbitrary matrix data (homogeneously typed or heterogeneous) with
row and column labels
- Any other form of observational / statistical data sets. The data
actually need not be labeled at all to be placed into a pandas
data structure
.
This package contains the Python 2 version.
Description
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(no translation yet)
Located in Package: python-pandas
61632.
low-level implementations and bindings for pandas
Summary
(no translation yet)
Located in Package: python-pandas-lib
3040130410 of 38392 results

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