diff --git a/README.rst b/README.rst
index 707ed394..5fa3bed6 100644
--- a/README.rst
+++ b/README.rst
@@ -32,97 +32,10 @@ What is ``Dependency Injector``?
 
 ``Dependency Injector`` is a Python dependency injection framework for Python.
 
-It was designed to be a unified and developer-friendly tool that helps
-implement a dependency injection design pattern in a formal, pretty, and
-Pythonic way.
-
-The key features of the *Dependency Injector* framework are:
-
-+ Easy, smart, and pythonic style.
-+ Obvious and clear structure.
-+ Extensibility and flexibility.
-+ High performance.
-+ Memory efficiency.
-+ Thread safety.
-+ Documented.
-+ Semantically versioned.
-
-*Dependency Injector* containers and providers are implemented as C extension 
-types using Cython.
-
-
-Installation
-------------
-
-The *Dependency Injector* library is available on `PyPi`_::
-
-    pip install dependency-injector
-
-Documentation
--------------
-
-Documentation is on `Read The Docs <http://python-dependency-injector.ets-labs.org/>`_
-
-Dependency injection
---------------------
-
-`Dependency injection`_ is a software design pattern that implements 
-`Inversion of control`_ to resolve dependencies. Formally, if object **A** 
-depends on object **B**, object **A** must not create or import object **B** 
-directly. Instead of this object **A** must provide a way to *inject* 
-object **B**. The responsibilities of objects creation and dependency
-injection are delegated to external code - the *dependency injector*. 
-
-Popular terminology of the dependency injection pattern:
-
-+ Object **A**, which depends on object **B**, is often called - 
-  the *client*.
-+ Object **B**, which is depended on, is often called - the *service*.
-+ External code that is responsible for creation of objects and injection 
-  of dependencies is often called - the *dependency injector*.
-
-There are several ways to inject a *service* into a *client*: 
-
-+ by passing it as an ``__init__`` argument (constructor / initializer
-  injection)
-+ by setting it as an attribute's value (attribute injection)
-+ by passing it as a method's argument (method injection)
-
-The dependency injection pattern has few strict rules that should be followed:
-
-+ The *client* delegates to the *dependency injector* the responsibility 
-  of injecting its dependencies - the *service(s)*.
-+ The *client* doesn't know how to create the *service*, it knows only 
-  the interface of the *service*. The *service* doesn't know that it is used by 
-  the *client*.
-+ The *dependency injector* knows how to create the *client* and 
-  the *service*. It also knows that the *client* depends on the *service*, 
-  and knows how to inject the *service* into the *client*.
-+ The *client* and the *service* know nothing about the *dependency injector*.
-
-The dependency injection pattern provides the following advantages: 
-
-+ Control of application structure.
-+ Decreased coupling of application components.
-+ Increased code reusability.
-+ Increased testability.
-+ Increased maintainability.
-+ Reconfiguration of a system without rebuilding.
-
-Dependency Injector in action
------------------------------
-
-The brief example below is a simplified version of inversion of control 
-containers from a real-life application. The example demonstrates the usage
-of *Dependency Injector* inversion of control container and  providers for
-specifying application components and their dependencies on each other in one
-module. Besides other previously mentioned advantages, it shows a great
-opportunity to control and manage application's structure in one place.
+Example:
 
 .. code-block:: python
 
-    """Example of dependency injection in Python."""
-
     import logging
     import sqlite3
 
@@ -132,11 +45,10 @@ opportunity to control and manage application's structure in one place.
     from example import services, main
 
 
-    class IocContainer(containers.DeclarativeContainer):
-        """Application IoC container."""
+    class Application(containers.DeclarativeContainer):
+        """Application container."""
 
         config = providers.Configuration('config')
-        logger = providers.Singleton(logging.Logger, name='example')
 
         # Gateways
 
@@ -153,33 +65,22 @@ opportunity to control and manage application's structure in one place.
         users_service = providers.Factory(
             services.UsersService,
             db=database_client,
-            logger=logger,
         )
 
         auth_service = providers.Factory(
             services.AuthService,
             token_ttl=config.auth.token_ttl,
             db=database_client,
-            logger=logger,
         )
 
         photos_service = providers.Factory(
             services.PhotosService,
             db=database_client,
             s3=s3_client,
-            logger=logger,
         )
 
-        # Misc
 
-        main = providers.Callable(
-            main.main,
-            users_service=users_service,
-            auth_service=auth_service,
-            photos_service=photos_service,
-        )
-
-The next example demonstrates a run of the example application defined above:
+Run the application:
 
 .. code-block:: python
 
@@ -188,12 +89,12 @@ The next example demonstrates a run of the example application defined above:
     import sys
     import logging
 
-    from container import IocContainer
+    from container import Application
 
 
     if __name__ == '__main__':
         # Configure container:
-        container = IocContainer(
+        container = Application(
             config={
                 'database': {
                     'dsn': ':memory:',
@@ -218,6 +119,19 @@ on our GitHub:
     https://github.com/ets-labs/python-dependency-injector
 
 
+Installation
+------------
+
+The *Dependency Injector* library is available on `PyPi`_::
+
+    pip install dependency-injector
+
+Documentation
+-------------
+
+Documentation is on `Read The Docs <http://python-dependency-injector.ets-labs.org/>`_
+
+
 .. _Dependency injection: http://en.wikipedia.org/wiki/Dependency_injection
 .. _Inversion of control: https://en.wikipedia.org/wiki/Inversion_of_control
 .. _PyPi: https://pypi.org/project/dependency-injector/