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CSV is a delimited text file that uses a comma to separate values (many implementations of CSV import/export tools allow other separators to be used; for example, the use of a "Sep=^" row as the first row in the *.csv file will cause Excel to open the file expecting caret "^" to be the separator instead of comma ","). Simple CSV implementations ...
Beautiful Soup is a Python package for parsing HTML and XML documents, including those with malformed markup. It creates a parse tree for documents that can be used to extract data from HTML, [3] which is useful for web scraping. [2] [4]
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 ...
Dab solver (links to disambiguation pages) Checklinks (unavailable) (check and correct other links) ProveIt (addition of citations and references) Open access bot (add open access links to citations) MW (Firefox Ubiquity script. It uses the MediaWiki API to suggest and insert an internal link.) Additional tools which use OAuth can be found on ...
CHML – Krasbit Technologies Encrypted database file for 1 click integration between contact management software and the Chameleon Software; DAF – Digital Anchor data file; DAT – DOS Basic; DAT – Intersystems Caché database file; DB – Paradox; DB – SQLite; DBF – db/dbase II,III,IV and V, Clipper, Harbour/xHarbour, Fox/FoxPro, Oracle
A valid file URI must therefore begin with either file:/path (no hostname), file:///path (empty hostname), or file://hostname/path. file://path (i.e. two slashes, without a hostname) is never correct, but is often used. Further slashes in path separate directory names in a hierarchical system of directories and subdirectories. In this usage ...
A schema for a particular use of protocol buffers associates data types with field names, using integers to identify each field. (The protocol buffer data contains only the numbers, not the field names, providing some bandwidth/storage savings compared with systems that include the field names in the data.)
Machine-readable data may be classified into two groups: human-readable data that is marked up so that it can also be read by machines (e.g. microformats, RDFa, HTML), and data file formats intended principally for processing by machines (CSV, RDF, XML, JSON). These formats are only machine readable if the data contained within them is formally ...