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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]
In computer programming, a collection is an abstract data type that is a grouping of items that can be used in a polymorphic way. Often, the items are of the same data type such as int or string . Sometimes the items derive from a common type; even deriving from the most general type of a programming language such as object or variant .
Flow diagram. In computing, serialization (or serialisation, also referred to as pickling in Python) is the process of translating a data structure or object state into a format that can be stored (e.g. files in secondary storage devices, data buffers in primary storage devices) or transmitted (e.g. data streams over computer networks) and reconstructed later (possibly in a different computer ...
The unique nature of archival records and the geographic distribution of individual collections has presented a challenge for those wishing to locate and access them for over 150 years. [7] With the advent of international networked computing and online catalogs, however, the potential emerged for making archival collections searchable online. [13]
A data library, data archive, or data repository is a collection of numeric and/or geospatial data sets for secondary use in research. A data library is normally part of a larger institution (academic, corporate, scientific, medical, governmental, etc.). established for research data archiving and to serve the data users of that organisation.
Archon is an open source platform created by the University of Illinois at Urbana–Champaign which is designed to allow archival repositories to more easily create and publish finding aids to their collections. It was created in response to a lack of easy methods for archivists to publish finding aids online.
Software source code is collected by crawling code hosting platforms, like GitHub, GitLab.com or Bitbucket, and packages archives, like npm or PyPI, and ingested into a special data structure, a Merkle DAG, that is the core of the archive. [6]
Dask is an open-source Python library for parallel computing.Dask [1] scales Python code from multi-core local machines to large distributed clusters in the cloud. Dask provides a familiar user interface by mirroring the APIs of other libraries in the PyData ecosystem including: Pandas, scikit-learn and NumPy.