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  2. ProjectLibre - Wikipedia

    en.wikipedia.org/wiki/Projectlibre

    The 1.9.3 release allows project managers to select the language in a drop down list. In addition to language, the country can be chosen which also sets the project currency and date format. ProjectLibre is written in the Java programming language , and will thus theoretically run on any machine for which a fully functioning Java virtual ...

  3. pandas (software) - Wikipedia

    en.wikipedia.org/wiki/Pandas_(software)

    Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series. It is free software released under the three-clause BSD license. [2]

  4. nftables - Wikipedia

    en.wikipedia.org/wiki/Nftables

    iptables -A OUTPUT -d 1.2.3.4 -j DROP The new syntax can appear more verbose, but it is also far more flexible. nftables incorporates advanced data structures such as dictionaries, maps and concatenations that do not exist with iptables. Making use of these can significantly reduce the number of chains and rules needed to express a given packet ...

  5. CuPy - Wikipedia

    en.wikipedia.org/wiki/CuPy

    CuPy is an open source library for GPU-accelerated computing with Python programming language, providing support for multi-dimensional arrays, sparse matrices, and a variety of numerical algorithms implemented on top of them. [3] CuPy shares the same API set as NumPy and SciPy, allowing it to be a drop-in replacement to run NumPy/SciPy code on GPU.

  6. DuckDB - Wikipedia

    en.wikipedia.org/wiki/DuckDB

    DuckDB is special amongst database management systems because it does not have any external dependencies and can build with just a C++11 compiler. [11] DuckDB also deviates from the traditional client–server model by running inside a host process (it has bindings, for example, for a Python interpreter with the ability to directly place data ...

  7. Apache Airflow - Wikipedia

    en.wikipedia.org/wiki/Apache_Airflow

    Airflow is written in Python, and workflows are created via Python scripts. Airflow is designed under the principle of "configuration as code". While other "configuration as code" workflow platforms exist using markup languages like XML, using Python allows developers to import libraries and classes to help them create their workflows.

  8. Control table - Wikipedia

    en.wikipedia.org/wiki/Control_table

    This simple control table directs program flow according to the value of the single input variable. Each table entry holds a possible input value to be tested for equality (implied) and a relevant subroutine to perform in the action column. The name of the subroutine could be replaced by a relative subroutine number if pointers are not supported

  9. NumPy - Wikipedia

    en.wikipedia.org/wiki/NumPy

    NumPy (pronounced / ˈ n ʌ m p aɪ / NUM-py) is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays. [3]