Some .txt files have been updated.

ANNOUNCE.txt

@@ -1,10 +1,11 @@
-=======================
-Announcing ViTables 2.1
-=======================
+=========================
+Announcing ViTables 2.2.2
+=========================
 
-After a long period retired from development activities I'm happy to come back
-and present ViTables 2.1, the latest release of this viewer for PyTables/HDF5
-files.
+After another long period retired from development activities I'm happy to come
+back and present ViTables 2.2.2, the latest release of this viewer for
+PyTables/HDF5 files. Definitely this release wouldn't have been possible without
+the unvaluable help of a bunch of contributors so THANKS to all of them.
 
 As it happens with the entire PyTables family, the main strength of ViTables
 is its ability to manage really large datasets in a fast and comfortable
@@ -15,14 +16,10 @@ application, i.e., it runs flawlessly in Unix (and hence, GNU/Linux), Mac OS
 X and Windows. The fact that it runs on top of PyTables ensures its speed and
 memory efficiency.
 
-In this release you will find some bug fixes and usability enhancements. New 
-features include:
-
-- improved queries. They are faster and eat much less memory
-- a simple but flexible plugins framework
-- human friendly formatting of times and dates for PyTables native Time fields
-  and also for time series created via scikits.timeseries package
-- datasets can be imported/exported from/to files with CSV format
+This release doesn't contain lots of new functionalities. There are bug fixes,
+some usability enhancements and new plugins included but it is mainly a
+maintenance release that offers support for latest Python, PyTables and PyQt
+versions.
 
 Platforms
 ---------
@@ -35,9 +32,9 @@ How to get it
 -------------
 Visit:
 
-http://www.vitables.org/download
+http://vitables.org/Download
 
-and click the link 'downloads area' to find the available packages.
+and see what is available.
 
 Share your experience
 ---------------------

ChangeLog.txt

@@ -1,6 +1,8 @@
 ViTables ChangeLog
 ==================
 ** May 24, 2017 **
+Some .txt files have been updated.
+
 Calls to str(object, 'UTF-8') have been removed.
 
 Bug fixed: when navigating large views with the mouse wheel an error is raised.

INSTALL.txt

@@ -1,9 +1,8 @@
 System requirements
 -------------------
 
-ViTables 2.1 has been tested against Python 2.6 and 2.7 and the latest
-versions of PyTables (up to version 3.2) and PyQt4. You can try other
-versions at your own risk :).
+ViTables 2.2.2 has been tested against the latest versions of Python (2 and 3),
+PyTables and PyQt. You can try other versions at your own risk :).
 
 Installation on a conda environment
 -----------------------------------
@@ -40,13 +39,11 @@ Activate the environment whenever you want to run vitables
   vitables [whatever.h5]
 ```
 
-Installation on Windows platforms
----------------------------------
-Just double click the installer icon and follow the wizard instructions.
-
-If you prefer to launch ViTables from the command line then install it
-following the instructions given in the next section.
-
+Installation on Windows and Mac OS Xplatforms
+---------------------------------------------
+Currently there are no graphical installers available for these platforms. You
+have to install ViTables from the command line, using one of the methods
+described in the Linux section.
 
 Installation on Linux platforms
 -------------------------------
@@ -81,14 +78,4 @@ command
 to see all the available options. Complete information about them can be
 found in the Distutils documentation.
 
-Installation on MacOS X platforms
----------------------------------
-For getting a double-clickable application bundle do the following:
-
-- uncompress the tarball
-- change to the distribution directory
-- change to the macosxapp directory
-- execute the make.sh script
-
-If you prefer to launch ViTables from the command line then install it
-following the instructions given in the previous section.
+You can install the program using a wheel too.

README.txt

@@ -4,7 +4,7 @@ ViTables is a graphical tool for browsing and editing files in both PyTables
 and HDF5 format. With ViTables you can easily navigate through the data
 hierarchy, view and modify metadata, view actual data and more.
 
-ViTables has been developed using Python and PyQt4, a binding to Qt4
+ViTables has been developed using Python and PyQt, a binding to Qt
 libraries, so it should run on any platform that support these components
 (this includes Windows, Mac OS X, Linux and many other Unices). The interface
 and features are the same in all platforms. At the moment, ViTables has been