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Change the file ownership PDP-7 UNIX cksum: Filesystem Mandatory Write file checksums and sizes 4.4BSD cmp: Filesystem Mandatory Compare two files; see also diff Version 1 AT&T UNIX comm: Text processing Mandatory Select or reject lines common to two files Version 4 AT&T UNIX command: Shell programming Mandatory Execute a simple command ...
Default PDF and file viewer for GNOME; replaces GPdf. Supports addition and removal (since v3.14), of basic text note annotations. CUPS: Apache License 2.0: No No No Yes Printing system can render any document to a PDF file, thus any Linux program with print capability can produce PDF files Pdftk: GPLv2: No Yes Yes
poppler-utils is a collection of command-line utilities built on Poppler's library API, to manage PDF and extract contents: pdfattach – add a new embedded file (attachment) to an existing PDF; pdfdetach – extract embedded documents from a PDF; pdffonts – lists the fonts used in a PDF
Partially recovered files where the original file name cannot be reconstructed are typically recovered to a "lost+found" directory that is stored at the root of the file system. A system administrator can also run fsck manually if they believe there is a problem with the file system. The file system is normally checked while unmounted, mounted ...
Split PDF files in a number of ways: After every page, even pages or odd pages; After a given set of page numbers; Every n pages; By bookmark level; By size, where the generated files will roughly have the specified size; Rotate PDF files where multiple files can be rotated, either every page or a selected set of pages (i.e. Mb).
In an instant, these commands improve the readability of the content you're viewing. • Zoom in - Press Ctrl (CMD on a Mac) + the plus key (+) on your keyboard. • Zoom out - Press Ctrl (CMD on a Mac) + the minus key (-) on your keyboard. Zoomed too far? Press Ctrl (CMD on a Mac) + 0 to go back to the default size.
Data compression aims to reduce the size of data files, enhancing storage efficiency and speeding up data transmission. K-means clustering, an unsupervised machine learning algorithm, is employed to partition a dataset into a specified number of clusters, k, each represented by the centroid of its points.
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