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Django is an Italian-French television series created by Leonardo Fasoli and Maddalena Ravagli, directed by Francesca Comencini and co-produced by Sky Atlantic and Canal+. It is an English-language reimagining of the 1966 Italian film of the same name by Sergio Corbucci .
Django (/ ˈ dʒ æ ŋ ɡ oʊ / JANG-goh; sometimes stylized as django) [6] is a free and open-source, Python-based web framework that runs on a web server. It follows the model–template–views (MTV) architectural pattern .
Django (/ ˈ dʒ æ ŋ ɡ oʊ / JANG-goh) [6] is a 1966 spaghetti Western film directed, produced and co-written by Sergio Corbucci.It stars Franco Nero (in his breakthrough role) as the title character, alongside Loredana Nusciak, José Bódalo, Ángel Álvarez, and Eduardo Fajardo. [7]
In addition, the contents of all sparse columns in a particular row of a table can be collectively aggregated into a single XML column (a column set), whose contents are of the form [<column-name>column contents </column-name>]*.... In fact, if a column set is defined for a table as part of a CREATE TABLE statement, all sparse columns ...
Django Django are a British art rock band based in London, England. Formed in 2009, the band has released five studio albums starting with their self-titled debut in 2012. [ 1 ] Their latest album Off Planet was released on 16 June 2023.
A column may contain text values, numbers, or even pointers to files in the operating system. [2] Columns typically contain simple types, though some relational database systems allow columns to contain more complex data types, such as whole documents, images, or even video clips. [3] [better source needed] A column can also be called an attribute.
Most triggers are only activated by either INSERT or UPDATE statements. Triggers are fully supported and can be attached to tables. Triggers can be per-column and conditional, in that UPDATE triggers can target specific columns of a table, and triggers can be told to execute under a set of conditions as specified in the trigger's WHERE clause.
In situations where the number of unique values of a column is far less than the number of rows in the table, column-oriented storage allow significant savings in space through data compression. Columnar storage also allows fast execution of range queries (e.g., show all records where a particular column is between X and Y, or less than X.)