Doc improvements:

- Explain prerequisites needed for benchmark examples
- Minor spelling and other fixes

docs/getting_started.rst

@@ -68,7 +68,7 @@ which sets the default keyspace for all queries made through that :class:`~.Sess
     session = cluster.connect('mykeyspace')
 
 
-You can always change a Sesssion's keyspace using :meth:`~.Session.set_keyspace` or
+You can always change a Session's keyspace using :meth:`~.Session.set_keyspace` or
 by executing a ``USE <keyspace>`` query:
 
 .. code-block:: python
@@ -385,7 +385,7 @@ prepared statement:
     user2 = session.execute(user_lookup_stmt, [user_id2])[0]
 
 The second option is to create a :class:`~.BoundStatement` from the
-:class:`~.PreparedStatement` and binding paramaters and set a consistency
+:class:`~.PreparedStatement` and binding parameters and set a consistency
 level on that:
 
 .. code-block:: python

docs/index.rst

@@ -8,7 +8,7 @@ The driver supports Python 2.6, 2.7, 3.3, and 3.4.
 
 This driver is open source under the
 `Apache v2 License <http://www.apache.org/licenses/LICENSE-2.0.html>`_.
-The source code for this driver can be found on `Github <http://github.com/datastax/python-driver>`_.
+The source code for this driver can be found on `GitHub <http://github.com/datastax/python-driver>`_.
 
 Contents
 --------

docs/installation.rst

@@ -12,7 +12,7 @@ Linux, OSX, and Windows are supported.
 Installation through pip
 ------------------------
 `pip <https://pypi.python.org/pypi/pip>`_ is the suggested tool for installing
-packages.  It will handle installing all python dependencies for the driver at
+packages.  It will handle installing all Python dependencies for the driver at
 the same time as the driver itself.  To install the driver*::
 
     pip install cassandra-driver
@@ -102,7 +102,7 @@ When installing manually through setup.py, you can disable both with
 the ``--no-extensions`` option, or selectively disable one or the other
 with ``--no-murmur3`` and ``--no-libev``.
 
-To compile the extenions, ensure that GCC and the Python headers are available.
+To compile the extensions, ensure that GCC and the Python headers are available.
 
 On Ubuntu and Debian, this can be accomplished by running::
 

docs/performance.rst

@@ -1,6 +1,6 @@
 Performance Notes
 =================
-The python driver for Cassandra offers several methods for executing queries.
+The Python driver for Cassandra offers several methods for executing queries.
 You can synchronously block for queries to complete using
 :meth:`.Session.execute()`, you can use a future-like interface through
 :meth:`.Session.execute_async()`, or you can attach a callback to the future
@@ -13,7 +13,7 @@ Benchmark Notes
 All benchmarks were executed using the
 `benchmark scripts <https://github.com/datastax/python-driver/tree/master/benchmarks>`_
 in the driver repository.  They were executed on a laptop with 16 GiB of RAM, an SSD,
-and a 2 GHz, four core CPU with hyperthreading.  The Cassandra cluster was a three
+and a 2 GHz, four core CPU with hyper-threading.  The Cassandra cluster was a three
 node `ccm <https://github.com/pcmanus/ccm>`_ cluster running on the same laptop
 with version 1.2.13 of Cassandra. I suggest testing these benchmarks against your
 own cluster when tuning the driver for optimal throughput or latency.
@@ -26,6 +26,17 @@ by using the ``--asyncore-only`` command line option.
 Each benchmark completes 100,000 small inserts. The replication factor for the
 keyspace was three, so all nodes were replicas for the inserted rows.
 
+The benchmarks require the Python driver C extensions as well as a few additional 
+Python packages. Follow these steps to install the prerequisites:
+
+1. Install packages to support Python driver C extensions:
+
+   * Debian/Ubuntu: ``sudo apt-get install gcc python-dev libev4 libev-dev``
+   * RHEL/CentOS/Fedora: ``sudo yum install gcc python-dev libev4 libev-dev``
+
+2. Install Python packages: ``pip install scales twisted blist``
+3. Re-install the Cassandra driver: ``pip install --upgrade cassandra-driver``
+
 Synchronous Execution (`sync.py <https://github.com/datastax/python-driver/blob/master/benchmarks/sync.py>`_)
 -------------------------------------------------------------------------------------------------------------
 Although this is the simplest way to make queries, it has low throughput
@@ -173,7 +184,7 @@ Callback Chaining (`callback_full_pipeline.py <https://github.com/datastax/pytho
 -----------------------------------------------------------------------------------------------------------------------------------------------
 This pattern is very different from the previous patterns.  Here we're taking
 advantage of the :meth:`.ResponseFuture.add_callback()` function to start
-another request as soon as one finishes.  Futhermore, we're starting 120
+another request as soon as one finishes.  Furthermore, we're starting 120
 of these callback chains, so we've always got about 120 operations in
 flight at any time:
 
@@ -243,7 +254,7 @@ dramatically:
     Average throughput: 679.61/sec
 
 When :attr:`.Cluster.protocol_version` is set to 1 or 2, you should limit the
-number of callback chains you run to rougly 100 per node in the cluster.
+number of callback chains you run to roughly 100 per node in the cluster.
 When :attr:`~.Cluster.protocol_version` is 3 or higher, you can safely experiment
 with higher numbers of callback chains.
 

docs/upgrading.rst

@@ -6,7 +6,7 @@ Upgrading
 
 Upgrading to 2.1 from 2.0
 -------------------------
-Version 2.1 of the Datastax python driver for Apache Cassandra
+Version 2.1 of the DataStax Python driver for Apache Cassandra
 adds support for Cassandra 2.1 and version 3 of the native protocol.
 
 Cassandra 1.2, 2.0, and 2.1 are all supported.  However, 1.2 only
@@ -68,7 +68,7 @@ See :ref:`udts` for more details.
 Customizing Encoders for Non-prepared Statements
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 Starting with version 2.1 of the driver, it is possible to customize
-how python types are converted to CQL literals when working with
+how Python types are converted to CQL literals when working with
 non-prepared statements.  This is done on a per-:class:`~.Session`
 basis through :attr:`.Session.encoder`:
 
@@ -94,7 +94,7 @@ timestamp generated by the driver.
 
 Upgrading to 2.0 from 1.x
 -------------------------
-Version 2.0 of the DataStax python driver for Apache Cassandra
+Version 2.0 of the DataStax Python driver for Apache Cassandra
 includes some notable improvements over version 1.x.  This version
 of the driver supports Cassandra 1.2, 2.0, and 2.1.  However, not
 all features may be used with Cassandra 1.2, and some new features

docs/user_defined_types.rst

@@ -7,11 +7,11 @@ new type through ``CREATE TYPE`` statements in CQL::
 
     CREATE TYPE address (street text, zip int);
 
-Version 2.1 of the python driver adds support for user-defined types.
+Version 2.1 of the Python driver adds support for user-defined types.
 
 Registering a Class to Map to a UDT
 -----------------------------------
-You can tell the python driver to return columns of a specific UDT as
+You can tell the Python driver to return columns of a specific UDT as
 instances of a class by registering them with your :class:`~.Cluster`
 instance through :meth:`.Cluster.register_user_type`: