Modified items

All recently modified items, latest first.

redhat-lsb-desktop-4.1-56.fc36.x86_64: The Linux Standard Base (LSB) Desktop Specifications define components that are required to be present on an LSB conforming system.

redhat-lsb-cxx-4.1-56.fc36.x86_64: The Linux Standard Base (LSB) CXX module supports the core interfaces by providing system interfaces, libraries, and a runtime environment for applications built using the C++ programming language. These interfaces provide low-level support for the core constructs of the language, and implement the standard base C++ libraries.

redhat-lsb-core-4.1-56.fc36.x86_64: The Linux Standard Base (LSB) Core module support provides the fundamental system interfaces, libraries, and runtime environment upon which all conforming applications and libraries depend.

redhat-lsb-4.1-56.fc36.x86_64: The Linux Standard Base (LSB) is an attempt to develop a set of standards that will increase compatibility among Linux distributions. It is designed to be binary-compatible and produce a stable application binary interface (ABI) for independent software vendors. The lsb package provides utilities, libraries etc. needed for LSB Compliant Applications. It also contains requirements that will ensure that all components required by the LSB are installed on the system.

redhat-display-fonts-4.0.3-1.fc36.noarch: Red Hat Typeface is a fresh take on the geometric sans genre, taking inspiration from a range of American sans serifs including Tempo and Highway Gothic. The Display styles, made for headlines and big statements, are low contrast and spaced tightly, with a large x-height and open counters. The Text styles have a slightly smaller x-height and narrower width for better legibility, are spaced more generously, and have thinned joins for better performance at small sizes. The Mono styles are similar to the Text styles, but are adapted for better performance to render code and similar text. The three families can be used together seamlessly at a range of sizes. The fonts were originally commissioned by Paula Scher / Pentagram and designed by Jeremy Mickel / MCKL for the new Red Hat identity. This package provides the Display fonts variant.

python3-linux-procfs-0.6.3-3.lbn36.noarch: Abstractions to extract information from the Linux kernel /proc files.

python3-zstd-1.4.5.1-6.fc36.x86_64: Simple Python bindings for the Zstd compression library.

python3-zmq-25.1.1-1.lbn36.x86_64: The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialized messaging middle-ware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more. This package contains the python bindings.

python3-zipp-3.19.2-2.lbn36.noarch: A pathlib-compatible Zipfile object wrapper. A backport of the Path object.

python3-zint-1.2-1.lbn36.noarch: Python-Zint is a ctypes interface to libzint of Robin Stuart's Zint project:< <>Usage closely follows the C API:<

python3-zeroconf-0.38.7-1.fc36.noarch: A pure Python 3 implementation of multicast DNS service discovery supporting Bonjour/Avahi.

python3-yui-4.2.16-3.fc36.x86_64: This package provides Python 3 language bindings to access functions of libyui, the YaST User Interface engine that provides the abstraction from graphical user interfaces (Qt, Gtk) and text based user interfaces (ncurses).

python3-yarl-1.18.3-1.lbn36.x86_64: The module provides handy URL class for URL parsing and changing.

python3-xxhash-2.0.2-3.fc36.x86_64: xxhash is a Python binding for the xxHash library by Yann Collet.

python3-xlwt-1.3.0-3.fc36.noarch: A library for generating spreadsheet files that are compatible with Excel 97/2000/XP/2003, OpenOffice.org Calc, and Gnumeric. xlwt has full support for Unicode. Excel spreadsheets can be generated on any platform without needing Excel or a COM server. The only requirement is Python 2.6 or later.

python3-xlsxwriter-3.2.5-1.lbn36.noarch: XlsxWriter is a Python module for writing files in the Excel 2007+ XLSX file format. XlsxWriter can be used to write text, numbers, formulas and hyperlinks to multiple worksheets and it supports features such as formatting and many more, including: 100% compatible Excel XLSX files. Full formatting. Merged cells. Defined names. Charts. Autofilters. Data validation and drop down lists. Conditional formatting. Worksheet PNG/JPEG images. Rich multi-format strings. Cell comments. Integration with Pandas. Textboxes. Memory optimization mode for writing large files. It supports Python 2.7, 3.4+, Jython and PyPy and uses standard libraries only.

python3-xlrd-2.0.1-6.fc36.noarch: Extract data from Excel spreadsheets (.xls and .xlsx, versions 2.0 onwards) on any platform. Pure Python (2.6, 2.7, 3.2+). Strong support for Excel dates. Unicode-aware.

python3-xlib-0.31-2.fc36.noarch: The Python X Library is a complete X11R6 client-side implementation, written in pure Python. It can be used to write low-levelish X Windows client applications in Python 3.

python3-xcffib-0.11.1-3.fc36.noarch: xcffib is intended to be a (mostly) drop-in replacement for xpyb. xpyb has an inactive upstream, several memory leaks, is python2 only and doesn't have pypy support. xcffib is a binding which uses cffi, which mitigates some of the issues described above. xcffib also builds bindings for 27 of the 29 (xprint and xkb are missing) X extensions in 1.10.

python3-xarray-2022.6.0-1.fc36.noarch: Xarray (formerly xray) is an open source project and Python package that makes working with labelled multi-dimensional arrays simple, efficient, and fun! Xarray introduces labels in the form of dimensions, coordinates and attributes on top of raw NumPy-like arrays, which allows for a more intuitive, more concise, and less error-prone developer experience. The package includes a large and growing library of domain-agnostic functions for advanced analytics and visualization with these data structures. Xarray was inspired by and borrows heavily from pandas, the popular data analysis package focused on labelled tabular data. It is particularly tailored to working with netCDF files, which were the source of xarray's data model, and integrates tightly with dask for parallel computing.


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