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A sorting algorithm is stable if whenever there are two records R and S with the same key, and R appears before S in the original list, then R will always appear before S in the sorted list. When equal elements are indistinguishable, such as with integers, or more generally, any data where the entire element is the key, stability is not an issue.
NLTK (Natural Language Toolkit): A suite of libraries and programs for symbolic and statistical natural language processing (NLP) for the Python language. OpenNN: Open neural networks library. Orange: A component-based data mining and machine learning software suite written in the Python language.
Currently, there does not seem to be a way to copy those tables to a wiki and keep styling such as colors (background or text color). It is possible to convert PDF tables to Excel and keep the colors. Or to HTML tables and keep the colors. But there does not seem to be a way to copy any of those colored tables (PDF, Excel, HTML, etc.) to a wiki.
In logic, a set of symbols is commonly used to express logical representation. The following table lists many common symbols, together with their name, how they should be read out loud, and the related field of mathematics.
ExifTool is a free and open-source software program for reading, writing, and manipulating image, audio, video, and PDF metadata.As such, ExifTool classes as a tag editor.It is platform independent, available as both a Perl library (Image::ExifTool) and a command-line application.
Yes Yes PoEAA [16] Multiton: Ensure a class has only named instances, and provide a global point of access to them. Yes Yes Yes Object pool: Avoid expensive acquisition and release of resources by recycling objects that are no longer in use. Can be considered a generalisation of connection pool and thread pool patterns. Yes Yes Yes Prototype
In early May 2019, an update was deployed to Stack Overflow's development version. It contained a bug which allowed an attacker to grant themselves privileges in accessing the production version of the site.
In cryptography, learning with errors (LWE) is a mathematical problem that is widely used to create secure encryption algorithms. [1] It is based on the idea of representing secret information as a set of equations with errors.