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A Jupyter Notebook document is a JSON file, following a versioned schema, usually ending with the ".ipynb" extension. The main parts of the Jupyter Notebooks are: Metadata, Notebook format and list of cells.
There is no defined way to include or refer to such an external specification within a Protocol Buffers file. The officially supported implementation includes an ASCII serialization format, [ 6 ] but this format—though self-describing—loses the forward- and backward-compatibility behavior, and is thus not a good choice for applications ...
While MS-DOS and NT always treat the suffix after the last period in a file's name as its extension, in UNIX-like systems, the final period does not necessarily mean that the text after the last period is the file's extension. [1] Some file formats, such as .txt or .text, may be listed multiple times.
All documentation (from Module:Convert/doc) is at that module. The text includes messages and categories output by the module, and parameters used as input. This is a separate module to simplify translation for use on another wiki. For example, see translation_table and the other tables in bn:Module:Convert/text.
Import and export your personal data to a file for safekeeping. Personal data includes Mail, Favorites, Address Book, and settings. 1. Sign in to Desktop Gold. 2. Click the Settings icon. 3. While in the General settings, click the My Data tab. 4. Click Import or Export. 5. Select your file. 6. If exporting, create a password.
Python is a high-level, general-purpose programming language.Its design philosophy emphasizes code readability with the use of significant indentation. [33]Python is dynamically type-checked and garbage-collected.
Natural language processing (NLP) is a subfield of computer science and especially artificial intelligence.It is primarily concerned with providing computers with the ability to process data encoded in natural language and is thus closely related to information retrieval, knowledge representation and computational linguistics, a subfield of linguistics.
IWE combines Word2vec with a semantic dictionary mapping technique to tackle the major challenges of information extraction from clinical texts, which include ambiguity of free text narrative style, lexical variations, use of ungrammatical and telegraphic phases, arbitrary ordering of words, and frequent appearance of abbreviations and acronyms ...