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Many image gallery programs also recognise Exif data and optionally display it alongside the images. Software libraries, such as libexif [9] for C and Adobe XMP Toolkit [10] or Exiv2 [11] for C++, Metadata Extractor [12] for Java, PIL/Pillow for Python, LEADTOOLS or ExifTool [13] for Perl, parse Exif data from files and read/write Exif tag values.
For example, June 30, 2001 is day 181 in the year 2001, as can be seen by adding 181 days to the date just before January 1, 2001. {{extract|June 30, 2001|show=dayofyear}} → 181 (date to day-of-year)
Subsets of data can be selected by column name, index, or Boolean expressions. For example, df[df['col1'] > 5] will return all rows in the DataFrame df for which the value of the column col1 exceeds 5. [4]: 126–128 Data can be grouped together by a column value, as in df['col1'].groupby(df['col2']), or by a function which is applied to the index.
RDFLib is a Python library for working with RDF, [2] a simple yet powerful language for representing information. This library contains parsers/serializers for almost all of the known RDF serializations, such as RDF/XML, Turtle, N-Triples, & JSON-LD, many of which are now supported in their updated form (e.g. Turtle 1.1).
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 .
File can be decompressed using Extract.exe or Expand.exe distributed with earlier versions of Windows. After compression, the last character of the original filename extension is replaced with an underscore, e.g. ‘Setup.exe’ becomes ‘Setup.ex_’. 46 4C 49 46: FLIF: 0 flif Free Lossless Image Format: 1A 45 DF A3 ␚Eߣ 0 mkv mka mks ...
Typical file attributes may, for example, indicate or specify whether a file is visible, modifiable, compressed, or encrypted. The availability of most file attributes depends on support by the underlying filesystem (such as FAT, NTFS, ext4) where attribute data must be stored along with other control structures. Each attribute can have one of ...
Mikolov et al. [1] report that doubling the amount of training data results in an increase in computational complexity equivalent to doubling the number of vector dimensions. Altszyler and coauthors (2017) studied Word2vec performance in two semantic tests for different corpus size. [29]