Re: [GRASS-user] single window gui in main branch

[Micha Silver]

Wow, impressive!

I especially like the search option in the right panel toolbox. Also the 
ability to switch the python and command shell to full screen is great.



Best regards, and thanks for the nice work!

Micha


On 11/01/2022 20:16, Veronica Andreo wrote:

Hello everyone,

Now that single window is merged into main branch I'd like to test :)

Where's the switch? I just updated and compiled main branch and went 
through all tabs and options in the settings?preferences menu from the 
GUI, but I could not find anything saying single window something. 
What am I doing wrong here?


Can this be related to 
https://github.com/OSGeo/grass/blob/f57940e8a096c593f23b2ce3f9653547f24b8e92/gui/wxpython/core/settings.py#L156 
been set to False? Shall I change that to True to make it appear/work?


Build info
GRASS version: 8.0.dev 
Code revision: 563797cd3
Build date: 2022-01-11

Thanks much,
Vero
--
Dra. Verónica Andreo
Investigadora Asistente de CONICET
Instituto Gulich (CONAE - UNC)
Centro Espacial Teófilo Tabanera (CETT)
Falda del Cañete - Córdoba, Argentina
+54 3547 40 int. 1153
https://veroandreo.gitlab.io/

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--
Micha Silver
Ben Gurion Univ.
Sde Boker, Remote Sensing Lab
cell: +972-523-665918

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[GRASS-user] Fwd: [Spatial-Ecology] Course: Geocomputation and Machine Learning for Environmental Applications.

[Veronica Andreo]

FYI :)

-- Forwarded message -
De: Giuseppe Amatulli 
Date: mar, 11 ene 2022 a las 20:06
Subject: [Spatial-Ecology] Course: Geocomputation and Machine Learning for
Environmental Applications.
To: 

Dear Colleagues,

In view of enhancing computation skills in the geographic domain, Spatial
Ecology   is organising a two-month training
course: Geocomputation and Machine Learning for Environmental Applications
.

The course will be offered on-line with a supplementary 5-day in-person
segment at the University of Basilicata, in the magnificent town of Matera
,
Italy. This is a wonderful opportunity for PhD students, Post-Docs and
professionals to acquire advanced computational skills with a Linux
computer.

Please forward to announce this opportunity within your network.

Sincerely, Giuseppe Amatulli  & Spatial Ecology – Team

*Geocomputation and Machine Learning for Environmental Applications
.** (April, May,
June, 2022)*

In this course, students will be introduced to an array of powerful
open-source geocomputation tools and machine learning methodologies under
Linux environment. Students who have never been exposed to programming
under Linux are expected to reach the stage where they feel confident in
using very advanced open source data processing routines. Students with a
precedent programming background will find the course beneficial in
enhancing their programming skills for better modelling and coding
proficiency. Our dual teaching aim is to equip attendees with powerful
tools as well as rendering their abilities of continuing independent
development afterwards. The acquired skills will be beneficial, not only
for GIS related application, but also for general data processing and
applied statistical computing in a number of fields. These essentially lay
the foundation for career development as a data scientist in the geographic
domain.

More information and registration:

www.spatial-ecology.net
twitter: @BigDataEcology
-- 
Giuseppe Amatulli, Ph.D.

Research scientist at
School of the Environment
Yale University
New Haven, CT, USA - 06511
Twitter: @BigDataEcology
Teaching: http://spatial-ecology.net
Work:  https://environment.yale.edu/profile/giuseppe-amatulli/

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