Gwyddion 2.29 is now available for download at

  https://sourceforge.net/projects/gwyddion/files/gwyddion/2.29/
  (all released files)

  http://gwyddion.net/download/2.29/
  (source code)

Released files are signed with PGP/GnuPG key

  "David Nečas (Yeti) <[email protected]>", id 62A07732
  fingerprint = 263F 9B1E C1E0 5261 C689  D83B 00FD D1D0 62A0 7732

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This is a stable version continuing the 2.x series, backward compatible with
previous 2.x versions.

More information about Gwyddion is available at

  http://gwyddion.net/

Bugs should be reported to

  [email protected]

or the mailing list.

-----------------------------------------------------------------------------

Summary of changes:
Application:
- Translations updated: Czech, French, Russian.

Libraries:
- libgwyprocess: New function to calculate grain-wise rms.
- libgwymodule: gwy_file_get_data_info() sets its arguments to NULL if no file
  info is found, fixing a possible crash if newly generated data are saved.
- libgwyapp: Recent file names are compared canonicalized, fixing repetition
  of the same file in document history on MS Windows.

Modules:
- Pixmap: Scalebar ticks and label can be enabled/disabled.
- Grain statistics: Displays total projected boundary length.
- Median line correction: Masking is supported.
- TIA SER: Spectral data import is supported.
- Statistical quantities: New quantity was added: grain-wise rms.
- Omicron: Files created by SPIP are recognised and loaded.
- Nanoscope: Support for old files without @2:Z scale was improved.
- Object synthesis: A bug causing Critical warning/crash during the generation
  of non-square data was fixed.
- Seiko: The guesswork involved in loading of non-square files was somewhat
  improved.
- Neural network: Result model size can differ from source, miscallaneous small
  improvements.

Other:
- Pygwy is packaged in the Win32 installer (it requires separate Python and
  PyGTK installation though).
- Standalone python gwy module is available (experimental).
- Several icons were improved.

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Thanks to all who contributed,

Yeti



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