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A module is code that extends Drupal's by altering existing functionality or adding new features. You can use modules contributed by others or create your own. Learn more about creating and using Drupal modules.

The Pathauto module automatically generates URL/path aliases for various kinds of content (nodes, taxonomy terms, users) without requiring the user to manually specify the path alias. This allows you to have URL aliases like /category/my-node-title instead of /node/123. The aliases are based upon a "pattern" system that uses tokens which the administrator can change.

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This module will allow Drupal to replace textarea fields with the CKEditor 4 - a visual HTML editor, usually called a WYSIWYG editor. This HTML text editor brings many of the powerful WYSIWYG editing functions of known desktop editors like Word to the web. It's very fast and doesn't require any kind of installation on the client computer.

Some CKEditor 4 plugins developed by CKSource are available in Drupal thanks to contributed modules. CKSource will be supporting module maintainers and provide updated versions of CKEditor 4 plugins whenever there is a security update concerning plugins they are depending on until the end of 2023.

To ease the transition to CKEditor 5 (in Drupal 9.5 and Drupal 10.0), it is possible to use the 1.0.x branch of this project until contributed and custom modules are ready. Once CKEditor 4 no longer receives security updates (the end of 2023), this project will be marked unsupported.

If you are interested in getting security updates for CKEditor 4 beyond that date (up until December 2026), please check the CKEditor 4 LTS module, where a special edition, CKEditor 4 LTS ("Long Term Support"), is available under commercial terms ("Extended Support Model") for anyone looking to extend the coverage of security updates and critical bug fixes.

Drupal 7 only has built-in support for non-external libraries via hook_library(). But it is only suitable for drupal.org projects that bundle their own library; i.e., the module author is the creator and vendor of the library. Libraries API should be used for externally developed and distributed libraries. A simple example would be a third-party jQuery plugin.

This module extends the entity API of Drupal core in order to provide a unified way to deal with entities and their properties. Additionally, it provides an entity CRUD controller, which helps simplifying the creation of new entity types.

This module provides a bulk operations functionality integrated with Views, with many additional features like clean API for developers, batching and persistent selection comparing to the Drupal 8+ core bulk form. For Drupal 7 it is the only tool providing such features.

To support this, Python has a way to put definitions in a file and use them in ascript or in an interactive instance of the interpreter. Such a file is called amodule; definitions from a module can be imported into other modules or intothe main module (the collection of variables that you have access to in ascript executed at the top level and in calculator mode).

This does not add the names of the functions defined in fibo directly tothe current namespace (see Python Scopes and Namespaces for more details);it only adds the module name fibo there. Usingthe module name you can access the functions:

A module can contain executable statements as well as function definitions.These statements are intended to initialize the module. They are executed onlythe first time the module name is encountered in an import statement. 1(They are also run if the file is executed as a script.)

Note that in general the practice of importing * from a module or package isfrowned upon, since it often causes poorly readable code. However, it is okay touse it to save typing in interactive sessions.

On file systems which support symlinks, the directory containing the inputscript is calculated after the symlink is followed. In other words thedirectory containing the symlink is not added to the module search path.

After initialization, Python programs can modify sys.path. Thedirectory containing the script being run is placed at the beginning of thesearch path, ahead of the standard library path. This means that scripts in thatdirectory will be loaded instead of modules of the same name in the librarydirectory. This is an error unless the replacement is intended. See sectionStandard Modules for more information.

To speed up loading modules, Python caches the compiled version of each modulein the __pycache__ directory under the name module.version.pyc,where the version encodes the format of the compiled file; it generally containsthe Python version number. For example, in CPython release 3.3 the compiledversion of spam.py would be cached as __pycache__/spam.cpython-33.pyc. Thisnaming convention allows compiled modules from different releases and differentversions of Python to coexist.

The __init__.py files are required to make Python treat directoriescontaining the file as packages (unless using a namespace package, arelatively advanced feature). This prevents directories with a common name,such as string, from unintentionally hiding valid modules that occur lateron the module search path. In the simplest case, __init__.py can just bean empty file, but it can also execute initialization code for the package orset the __all__ variable, described later.

Note that when using from package import item, the item can be either asubmodule (or subpackage) of the package, or some other name defined in thepackage, like a function, class or variable. The import statement firsttests whether the item is defined in the package; if not, it assumes it is amodule and attempts to load it. If it fails to find it, an ImportErrorexception is raised.

Be aware that submodules might become shadowed by locally defined names. Forexample, if you added a reverse function to thesound/effects/__init__.py file, the from sound.effects import *would only import the two submodules echo and surround, but not thereverse submodule, because it is shadowed by the locally definedreverse function:

If __all__ is not defined, the statement from sound.effects import *does not import all submodules from the package sound.effects into thecurrent namespace; it only ensures that the package sound.effects hasbeen imported (possibly running any initialization code in __init__.py)and then imports whatever names are defined in the package. This includes anynames defined (and submodules explicitly loaded) by __init__.py. Italso includes any submodules of the package that were explicitly loaded byprevious import statements. Consider this code:

In this example, the echo and surround modules are imported in thecurrent namespace because they are defined in the sound.effects packagewhen the from...import statement is executed. (This also works when__all__ is defined.)

Remember, there is nothing wrong with using from package importspecific_submodule! In fact, this is the recommended notation unless theimporting module needs to use submodules with the same name from differentpackages.

When packages are structured into subpackages (as with the sound packagein the example), you can use absolute imports to refer to submodules of siblingspackages. For example, if the module sound.filters.vocoder needs to usethe echo module in the sound.effects package, it can use fromsound.effects import echo.

You can also write relative imports, with the from module import name formof import statement. These imports use leading dots to indicate the current andparent packages involved in the relative import. From the surroundmodule for example, you might use:

Note that relative imports are based on the name of the current module. Sincethe name of the main module is always "__main__", modules intended for useas the main module of a Python application must always use absolute imports.

In mathematics, a module is a generalization of the notion of vector space in which the field of scalars is replaced by a ring. The concept of module generalizes also the notion of abelian group, since the abelian groups are exactly the modules over the ring of integers.

Like a vector space, a module is an additive abelian group, and scalar multiplication is distributive over the operation of addition between elements of the ring or module and is compatible with the ring multiplication.

In a vector space, the set of scalars is a field and acts on the vectors by scalar multiplication, subject to certain axioms such as the distributive law. In a module, the scalars need only be a ring, so the module concept represents a significant generalization. In commutative algebra, both ideals and quotient rings are modules, so that many arguments about ideals or quotient rings can be combined into a single argument about modules. In non-commutative algebra, the distinction between left ideals, ideals, and modules becomes more pronounced, though some ring-theoretic conditions can be expressed either about left ideals or left modules.

Much of the theory of modules consists of extending as many of the desirable properties of vector spaces as possible to the realm of modules over a "well-behaved" ring, such as a principal ideal domain. However, modules can be quite a bit more complicated than vector spaces; for instance, not all modules have a basis, and even for those that do (free modules) the number of elements in a basis need not be the same for all bases (that is to say that they may not have a unique rank) if the underlying ring does not satisfy the invariant basis number condition, unlike vector spaces, which always have a (possibly infinite) basis whose cardinality is then unique. (These last two assertions require the axiom of choice in general, but not in the case of finite-dimensional spaces, or certain well-behaved infinite-dimensional spaces such as Lp spaces.)

Authors who do not require rings to be unital omit condition 4 in the definition above; they would call the structures defined above "unital left R-modules". In this article, consistent with the glossary of ring theory, all rings and modules are assumed to be unital.[1] ff782bc1db