enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. List of in-memory databases - Wikipedia

    en.wikipedia.org/wiki/List_of_in-memory_databases

    SQL, ODBC, JDBC, C, C++, Java, Python, PHP, Node.js, Perl, Ruby, R, MAL open-source MonetDB License, based on MPL 2.0 as of version Jul2015. in-memory optimized column-oriented relational database management system (RDBMS) written in C with an SQL top-level interface and ODBC, JDBC drivers MySQL NDB Cluster: MySQL: 1997

  3. Lightning Memory-Mapped Database - Wikipedia

    en.wikipedia.org/wiki/Lightning_Memory-Mapped...

    Free and open-source software portal; Lightning Memory-Mapped Database (LMDB) is an embedded transactional database in the form of a key-value store.LMDB is written in C with API bindings for several programming languages.

  4. Python syntax and semantics - Wikipedia

    en.wikipedia.org/wiki/Python_syntax_and_semantics

    A snippet of Python code with keywords highlighted in bold yellow font. The syntax of the Python programming language is the set of rules that defines how a Python program will be written and interpreted (by both the runtime system and by human readers). The Python language has many similarities to Perl, C, and Java. However, there are some ...

  5. Data wrangling - Wikipedia

    en.wikipedia.org/wiki/Data_wrangling

    Data wranglers typically have skills sets within: R or Python, SQL, PHP, Scala, and more languages typically used for analyzing data. Visual data wrangling systems were developed to make data wrangling accessible for non-programmers, and simpler for programmers.

  6. Wikipedia:Database download - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Database_download

    Dictionary Builder is a Rust program that can parse XML dumps and extract entries in files; Scripts for parsing Wikipedia dumps ­– Python based scripts for parsing sql.gz files from wikipedia dumps. parse-mediawiki-sql – a Rust library for quickly parsing the SQL dump files with minimal memory allocation

  7. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    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 ...

  8. Associative array - Wikipedia

    en.wikipedia.org/wiki/Associative_array

    The dictionary problem is the classic problem of designing efficient data structures that implement associative arrays. [2] The two major solutions to the dictionary problem are hash tables and search trees .

  9. Document-oriented database - Wikipedia

    en.wikipedia.org/wiki/Document-oriented_database

    The central concept of a document-oriented database is the notion of a document.While each document-oriented database implementation differs on the details of this definition, in general, they all assume documents encapsulate and encode data (or information) in some standard format or encoding.