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Update wording in introduction docs
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README.rst
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README.rst
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@ -48,26 +48,26 @@ What is ``Dependency Injector``?
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``Dependency Injector`` is a dependency injection framework for Python.
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It helps implementing the dependency injection principle.
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It helps implement the dependency injection principle.
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Key features of the ``Dependency Injector``:
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- **Providers**. Provides ``Factory``, ``Singleton``, ``Callable``, ``Coroutine``, ``Object``,
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``List``, ``Dict``, ``Configuration``, ``Resource``, ``Dependency`` and ``Selector`` providers
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that help assembling your objects.
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``List``, ``Dict``, ``Configuration``, ``Resource``, ``Dependency``, and ``Selector`` providers
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that help assemble your objects.
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See `Providers <https://python-dependency-injector.ets-labs.org/providers/index.html>`_.
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- **Overriding**. Can override any provider by another provider on the fly. This helps in testing
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and configuring dev / stage environment to replace API clients with stubs etc. See
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and configuring dev/stage environment to replace API clients with stubs etc. See
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`Provider overriding <https://python-dependency-injector.ets-labs.org/providers/overriding.html>`_.
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- **Configuration**. Reads configuration from ``yaml`` & ``ini`` files, ``pydantic`` settings,
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environment variables, and dictionaries.
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See `Configuration provider <https://python-dependency-injector.ets-labs.org/providers/configuration.html>`_.
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- **Containers**. Provides declarative and dynamic containers.
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See `Containers <https://python-dependency-injector.ets-labs.org/containers/index.html>`_.
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- **Resources**. Helps with initialization and configuring of logging, event loop, thread
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or process pool, etc. Can be used for per-function execution scope in tandem with wiring.
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See `Resource provider <https://python-dependency-injector.ets-labs.org/providers/resource.html>`_.
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- **Wiring**. Injects dependencies into functions and methods. Helps integrating with
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- **Containers**. Provides declarative and dynamic containers.
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See `Containers <https://python-dependency-injector.ets-labs.org/containers/index.html>`_.
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- **Wiring**. Injects dependencies into functions and methods. Helps integrate with
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other frameworks: Django, Flask, Aiohttp, Sanic, FastAPI, etc.
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See `Wiring <https://python-dependency-injector.ets-labs.org/wiring.html>`_.
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- **Asynchronous**. Supports asynchronous injections.
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@ -75,7 +75,7 @@ Key features of the ``Dependency Injector``:
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- **Typing**. Provides typing stubs, ``mypy``-friendly.
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See `Typing and mypy <https://python-dependency-injector.ets-labs.org/providers/typing_mypy.html>`_.
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- **Performance**. Fast. Written in ``Cython``.
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- **Maturity**. Mature and production-ready. Well-tested, documented and supported.
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- **Maturity**. Mature and production-ready. Well-tested, documented, and supported.
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.. code-block:: python
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@ -115,19 +115,18 @@ Key features of the ``Dependency Injector``:
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with container.api_client.override(mock.Mock()):
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main() # <-- overridden dependency is injected automatically
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When you call ``main()`` function the ``Service`` dependency is assembled and injected automatically.
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When you call the ``main()`` function the ``Service`` dependency is assembled and injected automatically.
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When doing a testing you call the ``container.api_client.override()`` to replace the real API
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client with a mock. When you call ``main()`` the mock is injected.
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When you do testing, you call the ``container.api_client.override()`` method to replace the real API
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client with a mock. When you call ``main()``, the mock is injected.
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You can override any provider with another provider.
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It also helps you in configuring project for the different environments: replace an API client
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It also helps you in a re-configuring project for different environments: replace an API client
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with a stub on the dev or stage.
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With the ``Dependency Injector`` objects assembling is consolidated in the container.
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Dependency injections are defined explicitly.
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This makes easier to understand and change how application works.
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With the ``Dependency Injector``, object assembling is consolidated in a container. Dependency injections are defined explicitly.
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This makes it easier to understand and change how an application works.
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.. figure:: https://raw.githubusercontent.com/wiki/ets-labs/python-dependency-injector/img/di-readme.svg
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:target: https://github.com/ets-labs/python-dependency-injector
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@ -185,27 +184,27 @@ The framework stands on the `PEP20 (The Zen of Python) <https://www.python.org/d
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You need to specify how to assemble and where to inject the dependencies explicitly.
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The power of the framework is in a simplicity.
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The power of the framework is in its simplicity.
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``Dependency Injector`` is a simple tool for the powerful concept.
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Frequently asked questions
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--------------------------
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What is the dependency injection?
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What is dependency injection?
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- dependency injection is a principle that decreases coupling and increases cohesion
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Why should I do the dependency injection?
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- your code becomes more flexible, testable, and clear 😎
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How do I start doing the dependency injection?
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How do I start applying the dependency injection?
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- you start writing the code following the dependency injection principle
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- you register all of your application components and their dependencies in the container
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- when you need a component, you specify where to inject it or get it from the container
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What price do I pay and what do I get?
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- you need to explicitly specify the dependencies
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- it will be an extra work in the beginning
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- it will payoff as the project grows
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- it will be extra work in the beginning
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- it will payoff as project grows
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Have a question?
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- Open a `Github Issue <https://github.com/ets-labs/python-dependency-injector/issues>`_
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@ -65,10 +65,10 @@ It helps implementing the dependency injection principle.
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Key features of the ``Dependency Injector``:
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- **Providers**. Provides ``Factory``, ``Singleton``, ``Callable``, ``Coroutine``, ``Object``,
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``List``, ``Dict``, ``Configuration``, ``Resource``, ``Dependency`` and ``Selector`` providers
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that help assembling your objects. See :ref:`providers`.
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``List``, ``Dict``, ``Configuration``, ``Resource``, ``Dependency``, and ``Selector`` providers
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that help assemble your objects. See :ref:`providers`.
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- **Overriding**. Can override any provider by another provider on the fly. This helps in testing
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and configuring dev / stage environment to replace API clients with stubs etc. See
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and configuring dev/stage environment to replace API clients with stubs etc. See
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:ref:`provider-overriding`.
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- **Configuration**. Reads configuration from ``yaml`` & ``ini`` files, ``pydantic`` settings,
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environment variables, and dictionaries. See :ref:`configuration-provider`.
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@ -76,12 +76,12 @@ Key features of the ``Dependency Injector``:
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or process pool, etc. Can be used for per-function execution scope in tandem with wiring.
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See :ref:`resource-provider`.
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- **Containers**. Provides declarative and dynamic containers. See :ref:`containers`.
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- **Wiring**. Injects dependencies into functions and methods. Helps integrating with
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- **Wiring**. Injects dependencies into functions and methods. Helps integrate with
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other frameworks: Django, Flask, Aiohttp, Sanic, FastAPI, etc. See :ref:`wiring`.
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- **Asynchronous**. Supports asynchronous injections. See :ref:`async-injections`.
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- **Typing**. Provides typing stubs, ``mypy``-friendly. See :ref:`provider-typing`.
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- **Performance**. Fast. Written in ``Cython``.
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- **Maturity**. Mature and production-ready. Well-tested, documented and supported.
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- **Maturity**. Mature and production-ready. Well-tested, documented, and supported.
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.. code-block:: python
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@ -121,9 +121,9 @@ Key features of the ``Dependency Injector``:
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with container.api_client.override(mock.Mock()):
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main() # <-- overridden dependency is injected automatically
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With the ``Dependency Injector`` objects assembling is consolidated in the container.
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With the ``Dependency Injector``, object assembling is consolidated in the container.
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Dependency injections are defined explicitly.
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This makes easier to understand and change how application works.
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This makes it easier to understand and change how the application works.
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.. figure:: https://raw.githubusercontent.com/wiki/ets-labs/python-dependency-injector/img/di-readme.svg
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:target: https://github.com/ets-labs/python-dependency-injector
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@ -7,8 +7,8 @@ Introduction
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overview of the dependency injection, inversion of
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control and Dependency Injector framework.
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Current section of the documentation provides an overview of the
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dependency injection, inversion of control and the ``Dependency Injector`` framework.
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The current section of the documentation provides an overview of the
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dependency injection, inversion of control, and the ``Dependency Injector`` framework.
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.. toctree::
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:maxdepth: 2
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@ -2,7 +2,7 @@ Installation
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============
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``Dependency Injector`` is available on `PyPI <https://pypi.org/project/dependency-injector/>`_.
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To install latest version you can use ``pip``:
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To install the latest version you can use ``pip``:
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.. code-block:: bash
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@ -10,7 +10,7 @@ To install latest version you can use ``pip``:
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Some modules of the ``Dependency Injector`` are implemented as C extensions.
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``Dependency Injector`` is distributed as a pre-compiled wheels. Wheels are
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available for all supported Python versions on Linux, Windows and MacOS.
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available for all supported Python versions on Linux, Windows, and MacOS.
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Linux distribution uses `manylinux <https://github.com/pypa/manylinux>`_.
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If there is no appropriate wheel for your environment (Python version and OS)
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@ -23,20 +23,20 @@ To verify the installed version:
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>>> import dependency_injector
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>>> dependency_injector.__version__
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'4.37.0'
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'4.39.0'
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.. note::
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When add ``Dependency Injector`` to the ``requirements.txt`` don't forget to pin version
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to the current major:
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When adding ``Dependency Injector`` to ``pyproject.toml`` or ``requirements.txt``
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don't forget to pin the version to the current major:
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.. code-block:: bash
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.. code-block:: bash
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dependency-injector>=4.0,<5.0
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dependency-injector>=4.0,<5.0
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*Next major version can be incompatible.*
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*The next major version can be incompatible.*
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All releases are available on `PyPI release history page <https://pypi.org/project/dependency-injector/#history>`_.
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Each release has appropriate tag. The tags are available on
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All releases are available on the `PyPI release history page <https://pypi.org/project/dependency-injector/#history>`_.
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Each release has an appropriate tag. The tags are available on the
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`GitHub releases page <https://github.com/ets-labs/python-dependency-injector/releases>`_.
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.. disqus::
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@ -11,10 +11,10 @@ Key features
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Key features of the ``Dependency Injector``:
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- **Providers**. Provides ``Factory``, ``Singleton``, ``Callable``, ``Coroutine``, ``Object``,
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``List``, ``Dict``, ``Configuration``, ``Resource``, ``Dependency`` and ``Selector`` providers
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that help assembling your objects. See :ref:`providers`.
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``List``, ``Dict``, ``Configuration``, ``Resource``, ``Dependency``, and ``Selector`` providers
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that help assemble your objects. See :ref:`providers`.
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- **Overriding**. Can override any provider by another provider on the fly. This helps in testing
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and configuring dev / stage environment to replace API clients with stubs etc. See
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and configuring dev/stage environment to replace API clients with stubs etc. See
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:ref:`provider-overriding`.
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- **Configuration**. Reads configuration from ``yaml`` & ``ini`` files, ``pydantic`` settings,
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environment variables, and dictionaries. See :ref:`configuration-provider`.
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@ -22,12 +22,12 @@ Key features of the ``Dependency Injector``:
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or process pool, etc. Can be used for per-function execution scope in tandem with wiring.
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See :ref:`resource-provider`.
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- **Containers**. Provides declarative and dynamic containers. See :ref:`containers`.
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- **Wiring**. Injects dependencies into functions and methods. Helps integrating with
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- **Wiring**. Injects dependencies into functions and methods. Helps integrate with
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other frameworks: Django, Flask, Aiohttp, Sanic, FastAPI, etc. See :ref:`wiring`.
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- **Asynchronous**. Supports asynchronous injections. See :ref:`async-injections`.
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- **Typing**. Provides typing stubs, ``mypy``-friendly. See :ref:`provider-typing`.
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- **Performance**. Fast. Written in ``Cython``.
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- **Maturity**. Mature and production-ready. Well-tested, documented and supported.
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- **Maturity**. Mature and production-ready. Well-tested, documented, and supported.
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The framework stands on the `PEP20 (The Zen of Python) <https://www.python.org/dev/peps/pep-0020/>`_ principle:
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@ -37,7 +37,7 @@ The framework stands on the `PEP20 (The Zen of Python) <https://www.python.org/d
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You need to specify how to assemble and where to inject the dependencies explicitly.
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The power of the framework is in a simplicity.
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The power of the framework is in its simplicity.
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``Dependency Injector`` is a simple tool for the powerful concept.
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.. disqus::
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