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python3-cycler-0.10.0-4.lbn25.py37.noarch
General purpose library used by matplotlib to cycle through lists for colors, marker styles, etc
Located in LBN / … / Cloud Computing / BastionLinux 25
python3-cycler-0.11.0-2.fc36.noarch
General purpose library used by matplotlib to cycle through lists for colors, marker styles, etc
Located in LBN / … / Core Linux / BastionLinux 36
python3-Cython-0.24.1-31.lbn19.x86_64
This is a development version of Pyrex, a language for writing Python extension modules. For more info, see: Doc/About.html for a description of the language INSTALL.txt for installation instructions USAGE.txt for usage instructions Demos for usage examples
Located in LBN / … / Big Data / BastionLinux 19
python3-Cython-0.24.1-31.lbn19.x86_64
This is a development version of Pyrex, a language for writing Python extension modules. For more info, see: Doc/About.html for a description of the language INSTALL.txt for installation instructions USAGE.txt for usage instructions Demos for usage examples
Located in LBN / … / Core Linux / BastionLinux 19
python3-Cython-0.29.34-2.lbn36.x86_64
The Cython language makes writing C extensions for the Python language as easy as Python itself. Cython is a source code translator based on Pyrex, but supports more cutting edge functionality and optimizations. The Cython language is a superset of the Python language (almost all Python code is also valid Cython code), but Cython additionally supports optional static typing to natively call C functions, operate with C++ classes and declare fast C types on variables and class attributes. This allows the compiler to generate very efficient C code from Cython code. This makes Cython the ideal language for writing glue code for external C/C++ libraries, and for fast C modules that speed up the execution of Python code.
Located in LBN / … / Core Linux / BastionLinux 36
python3-Cython-0.29.21-3.lbn25.x86_64
This is a development version of Pyrex, a language for writing Python extension modules. Python 3 version.
Located in LBN / … / Core Linux / BastionLinux 25
python3-daemon-2.2.4-1.lbn25.noarch
This library implements the well-behaved daemon specification of PEP 3143, "Standard daemon process library". This is the python3 version of the library.
Located in LBN / … / Cloud Computing / BastionLinux 25
python3-daemon-3.0.1-1.lbn36.noarch
This library implements the well-behaved daemon specification of PEP 3143, "Standard daemon process library". This is the python3 version of the library.
Located in LBN / … / Core Linux / BastionLinux 36
python3-dasbus-1.6-4.fc36.noarch
Dasbus is a DBus library written in Python 3, based on GLib and inspired by pydbus. It is designed to be easy to use and extend.
Located in LBN / … / Core Linux / BastionLinux 36
python3-dask-0.15.2-1.lbn25.noarch
Dask is a flexible parallel computing library for analytic computing. Dask is composed of two components: Dynamic task scheduling optimized for computation. This is similar to Airflow, Luigi, Celery, or Make, but optimized for interactive computational workloads. “Big Data” collections like parallel arrays, dataframes, and lists that extend common interfaces like NumPy, Pandas, or Python iterators to larger-than-memory or distributed environments. These parallel collections run on top of the dynamic task schedulers. Dask emphasizes the following virtues: Familiar: Provides parallelized NumPy array and Pandas DataFrame objects Flexible: Provides a task scheduling interface for more custom workloads and integration with other projects. Native: Enables distributed computing in Pure Python with access to the PyData stack. Fast: Operates with low overhead, low latency, and minimal serialization necessary for fast numerical algorithms Scales up: Runs resiliently on clusters with 1000s of cores Scales down: Trivial to set up and run on a laptop in a single process Responsive: Designed with interactive computing in mind it provides rapid feedback and diagnostics to aid humans
Located in LBN / … / Big Data / BastionLinux 25

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