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+Connecting a Python client
+
+
+
+The power of CARLA simulator resides in its ability to be controlled
+programmatically with an external client. This client can control most of the
+aspects of simulation, from environment to duration of each episode, it can
+retrieve data from different sensors, and send control instructions to the
+player vehicle.
+
+PythonClient contents
+---------------------
+
+In the release package, inside the _"PythonClient"_ folder, we provide the
+Python API module together with some use examples.
+
+File or folder | Description
+------------------------ | ------------
+carla/ | Contains the "carla" module, the Python API for communicating with the simulator.
+client_example.py | Basic usage example of the "carla" module.
+manual_control.py | A GUI client in which the vehicle can be controlled manually.
+point_cloud_example.py | Usage example for converting depth images into a point cloud in world coordinates.
+run_benchmark.py | Run the CoRL'17 benchmark with a trivial agent.
+
+!!! note
+ If you are building CARLA from source, the Python code is inside the
+ _"PythonClient"_ folder in the CARLA repository. Bear in mind that the
+ `master` branch contains latest fixes and changes that might be incompatible
+ with the release version. Consider using the `stable` branch.
+
+Install dependencies
+--------------------
+
+We recommend using Python 3.5, but all the Python code in the "carla" module and
+given examples is also compatible with Python 2.7.
+
+Install the dependencies with "pip" using the requirements file provided
+
+ $ pip install -r PythonClient/requirements.txt
+
+Running the client example
+--------------------------
+
+The "client_example.py" script contains a basic usage example for using the
+"carla" module. We recommend taking a look at the source-code of this script if
+you plan to familiarize with the CARLA Python API.
+
+Launching the client
+
+The script tries to connect to a CARLA simulator instance running in _server
+mode_. Now we are going to launch the script with "autopilot" enabled
+
+ $ ./client_example.py --autopilot
+
+The script now will try repeatedly to connect with the server, since we haven't
+started the simulator yet it will keep printing an error until we launch the
+server.
+
+!!! note
+ By default CARLA uses the ports 2000, 2001, and 2002. Make sure to have
+ these ports available.
+
+Launching the simulator in server mode
+
+To launch CARLA simulator in **server mode** we just need to pass the
+`-carla-server` argument
+
+ $ ./CarlaUE4.sh -carla-server
+
+Once the map is loaded, the vehicle should start driving around controlled by
+the Python script.
+
+!!! important
+ Before you start running your own experiments, it is important to know the
+ details for running the simulation at [fixed time-step](fixed_time_step.md)
+ for achieving maximum speed and repeatability.
+
+Saving images to disk
+
+Now you can stop the client script and relaunch it with different options. For
+instance now we are going to save to disk the images of the two cameras that the
+client attaches to the vehicle
+
+ $ ./client_example.py --autopilot --images-to-disk
+
+And _"_out"_ folder should have appeared in your working directory containing each
+captured frame as PNG.
+
+
+
+You can see all the available options in the script's help
+
+ $ ./client_example.py --help
+
+Running other examples
+
+The other scripts present in the _"PythonClient"_ folder run in a similar
+fashion. We recommend now launching _"manual_control.py"_ for a GUI interface
+implemented with PyGame.
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