Installing additional Frameworks/en - Versionsgeschichte

Cg: /* AI (Tensorflow) */

2026-05-25T14:45:12Z

AI (Tensorflow)

← Nächstältere Version		Version vom 25. Mai 2026, 14:45 Uhr
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	== AI (Tensorflow) ==		== AI (Tensorflow) ==
	These are typically used via Python actions, and installed using a Python package manager (eg. "pip install tensorflow"). Please refer to Tensorflow web pages for details.		These are typically used via Python actions, and installed using a Python package manager (eg. "pip install tensorflow").<br>Please refer to Tensorflow web pages for details.

	== AI (Ollama) ==		== AI (Ollama) ==

Cg: /* AI (Ollama) */

2026-05-25T14:44:47Z

AI (Ollama)

← Nächstältere Version		Version vom 25. Mai 2026, 14:44 Uhr
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	== AI (Ollama) ==		== AI (Ollama) ==
	Goto [https://ollama.com/download ollama.com/download] and get the installer for your operating system. The loaded Setup/Install procedure should install ollama on your local machine as a background service.<br>It will also open an Ollama interactive chat and configuration window, which is not needed in the future, but will be useful to verify that the installation worked and especially to download new models.		Goto [https://ollama.com/download ollama.com/download] and get the installer for your operating system. The loaded Setup/Install procedure should install ollama on your local machine as a background service.<br>It will also open an Ollama interactive chat and configuration window, which is not needed in the future, but will be useful to verify that the installation worked and especially to download new models.
	<br>Models to consider: we tried qwen3.6, gemma4 and [https://ollama.com/library/codellama:7b codellama]. We are currently investigating which model is best suited for our AI tasks, but tend to codellama (if you prefer a free model running on your local machine).<br>Models are to be placed into the ''Model Location'' folder, which is found in the Ollama window under ''Settings''.		<br>Models are to be placed into the ''Model Location'' folder, which is found in the Ollama window under ''Settings''.
	<br>You can also pull models with "<CODE>ollama pull <modelName></CODE>" or "<CODE>ollama run <modelName></CODE>". On Windows, the ollama command is typically found in your personal "<CODE>AppData\Local\Programs\Ollama</CODE>" folder.		<br>You can also pull models with "<CODE>ollama pull <modelName></CODE>" or "<CODE>ollama run <modelName></CODE>". On Windows, the ollama command is typically found in your personal "<CODE>AppData\Local\Programs\Ollama</CODE>" folder.

			Models to consider (as of May 2026): we tried qwen3.6, gemma4 and [https://ollama.com/library/codellama:7b codellama]. We are currently investigating which model is best suited for our AI tasks, but tend to codellama (if you prefer a free model running on your local machine).
	<br>Be aware that models are huge, typically in the order of tens of gigabytes.		<br>Be aware that models are huge, typically in the order of tens of gigabytes.

Cg: /* AI (Ollama) */

2026-05-25T14:33:12Z

AI (Ollama)

← Nächstältere Version		Version vom 25. Mai 2026, 14:33 Uhr
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	<br>Models to consider: we tried qwen3.6, gemma4 and [https://ollama.com/library/codellama:7b codellama]. We are currently investigating which model is best suited for our AI tasks, but tend to codellama (if you prefer a free model running on your local machine).<br>Models are to be placed into the ''Model Location'' folder, which is found in the Ollama window under ''Settings''.		<br>Models to consider: we tried qwen3.6, gemma4 and [https://ollama.com/library/codellama:7b codellama]. We are currently investigating which model is best suited for our AI tasks, but tend to codellama (if you prefer a free model running on your local machine).<br>Models are to be placed into the ''Model Location'' folder, which is found in the Ollama window under ''Settings''.
	<br>You can also pull models with "<CODE>ollama pull <modelName></CODE>" or "<CODE>ollama run <modelName></CODE>". On Windows, the ollama command is typically found in your personal "<CODE>AppData\Local\Programs\Ollama</CODE>" folder.		<br>You can also pull models with "<CODE>ollama pull <modelName></CODE>" or "<CODE>ollama run <modelName></CODE>". On Windows, the ollama command is typically found in your personal "<CODE>AppData\Local\Programs\Ollama</CODE>" folder.
			<br>Be aware that models are huge, typically in the order of tens of gigabytes.

Cg: /* AI (Ollama) */

2026-05-25T14:25:06Z

AI (Ollama)

← Nächstältere Version		Version vom 25. Mai 2026, 14:25 Uhr
Zeile 425:		Zeile 425:
	== AI (Ollama) ==		== AI (Ollama) ==
	Goto [https://ollama.com/download ollama.com/download] and get the installer for your operating system. The loaded Setup/Install procedure should install ollama on your local machine as a background service.<br>It will also open an Ollama interactive chat and configuration window, which is not needed in the future, but will be useful to verify that the installation worked and especially to download new models.		Goto [https://ollama.com/download ollama.com/download] and get the installer for your operating system. The loaded Setup/Install procedure should install ollama on your local machine as a background service.<br>It will also open an Ollama interactive chat and configuration window, which is not needed in the future, but will be useful to verify that the installation worked and especially to download new models.
	<br>Models to consider: we tried qwen3.6, gemma4 and [https://ollama.com/library/codellama:7b codellama]. We are currently investigating which model is best suited for our AI tasks, but tend to codellama (if you prefer a free model). Models are to be placed into the ''Model ~~Localtion~~'' folder, which is found in the ~~ollama~~ window under ''Settings''.		<br>Models to consider: we tried qwen3.6, gemma4 and [https://ollama.com/library/codellama:7b codellama]. We are currently investigating which model is best suited for our AI tasks, but tend to codellama (if you prefer a free model running on your local machine).<br>Models are to be placed into the ''Model Location'' folder, which is found in the Ollama window under ''Settings''.
	<br>You can also pull models with "ollama pull <modelName>" or "~~allama~~ run <modelName>". On ~~WIndows~~, the ollama command is typically found in your personal AppData\Local\Programs\Ollama" folder.		<br>You can also pull models with "<CODE>ollama pull <modelName></CODE>" or "<CODE>ollama run <modelName></CODE>". On Windows, the ollama command is typically found in your personal "<CODE>AppData\Local\Programs\Ollama</CODE>" folder.

Cg: /* AI (Ollama) */

2026-05-25T14:22:58Z

AI (Ollama)

← Nächstältere Version		Version vom 25. Mai 2026, 14:22 Uhr
Zeile 426:		Zeile 426:
	Goto [https://ollama.com/download ollama.com/download] and get the installer for your operating system. The loaded Setup/Install procedure should install ollama on your local machine as a background service.<br>It will also open an Ollama interactive chat and configuration window, which is not needed in the future, but will be useful to verify that the installation worked and especially to download new models.		Goto [https://ollama.com/download ollama.com/download] and get the installer for your operating system. The loaded Setup/Install procedure should install ollama on your local machine as a background service.<br>It will also open an Ollama interactive chat and configuration window, which is not needed in the future, but will be useful to verify that the installation worked and especially to download new models.
	<br>Models to consider: we tried qwen3.6, gemma4 and [https://ollama.com/library/codellama:7b codellama]. We are currently investigating which model is best suited for our AI tasks, but tend to codellama (if you prefer a free model). Models are to be placed into the ''Model Localtion'' folder, which is found in the ollama window under ''Settings''.		<br>Models to consider: we tried qwen3.6, gemma4 and [https://ollama.com/library/codellama:7b codellama]. We are currently investigating which model is best suited for our AI tasks, but tend to codellama (if you prefer a free model). Models are to be placed into the ''Model Localtion'' folder, which is found in the ollama window under ''Settings''.
			<br>You can also pull models with "ollama pull <modelName>" or "allama run <modelName>". On WIndows, the ollama command is typically found in your personal AppData\Local\Programs\Ollama" folder.

Cg: /* AI (Tensorflow) */

2026-05-25T14:03:13Z

AI (Tensorflow)

← Nächstältere Version		Version vom 25. Mai 2026, 14:03 Uhr
Zeile 421:		Zeile 421:

	== AI (Tensorflow) ==		== AI (Tensorflow) ==
	These are typically used via Python actions, and installed using a Python package manager (pip). Please refer to Tensorflow web pages for details.		These are typically used via Python actions, and installed using a Python package manager (eg. "pip install tensorflow"). Please refer to Tensorflow web pages for details.

	== AI (Ollama) ==		== AI (Ollama) ==

Cg: /* AI (Tensorflow) */

2026-05-25T14:02:38Z

AI (Tensorflow)

← Nächstältere Version		Version vom 25. Mai 2026, 14:02 Uhr
Zeile 422:		Zeile 422:
	== AI (Tensorflow) ==		== AI (Tensorflow) ==
	These are typically used via Python actions, and installed using a Python package manager (pip). Please refer to Tensorflow web pages for details.		These are typically used via Python actions, and installed using a Python package manager (pip). Please refer to Tensorflow web pages for details.

			== AI (Ollama) ==
			Goto [https://ollama.com/download ollama.com/download] and get the installer for your operating system. The loaded Setup/Install procedure should install ollama on your local machine as a background service.<br>It will also open an Ollama interactive chat and configuration window, which is not needed in the future, but will be useful to verify that the installation worked and especially to download new models.
			<br>Models to consider: we tried qwen3.6, gemma4 and [https://ollama.com/library/codellama:7b codellama]. We are currently investigating which model is best suited for our AI tasks, but tend to codellama (if you prefer a free model). Models are to be placed into the ''Model Localtion'' folder, which is found in the ollama window under ''Settings''.

Cg: /* Julia Installation */

2026-05-19T00:50:06Z

Julia Installation

← Nächstältere Version		Version vom 19. Mai 2026, 00:50 Uhr
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	== Julia Installation ==		== Julia Installation ==
	Goto [ https://julialang.org/downloads] and install.		Goto [ https://julialang.org/downloads] and install.
	Then make sure that julia is in your <code>PATH</code> setting or set the path to the command in the "''Extras''" → "''Settings''" → "''Execution''" → "''External Language Interpreters''" → "''Other''" settings. Typically it will look like "<code>%LOCALAPPDATA%\Programs\Julia-1.10.4\bin\julia.exe</code>" on windows.		Then make sure that julia is in your <code>PATH</code> setting or set the path to the command in the "''Extras''" → "''Settings''" → "''Execution''" → "''External Language Interpreters''" → "''Other''" settings. <br>Typically it will look like "<code>%LOCALAPPDATA%\Programs\Julia-1.10.4\bin\julia.exe</code>" on windows.
	<br>Create a new Julia action and execute it to see if it works.		<br>Create a new Julia action and execute it to see if it works.

Cg: /* Ruby Installation */

2026-05-19T00:49:47Z

Ruby Installation

← Nächstältere Version		Version vom 19. Mai 2026, 00:49 Uhr
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	== Ruby Installation ==		== Ruby Installation ==
	Goto [ https://rubyinstaller.org/downloads ] and install ruby.		Goto [ https://rubyinstaller.org/downloads ] and install ruby.
	Then make sure that ruby is in your <code>PATH</code> setting or set the path to the command in the "''Extras''" → "''Settings''" → "''Execution''" → "''External Language Interpreters''" → "''Ruby''" settings. Typically it will look like "<code>C:\Ruby32-x64\bin\ruby.exe</code>" on windows.		Then make sure that ruby is in your <code>PATH</code> setting or set the path to the command in the "''Extras''" → "''Settings''" → "''Execution''" → "''External Language Interpreters''" → "''Ruby''" settings.<br>Typically it will look like "<code>C:\Ruby32-x64\bin\ruby.exe</code>" on windows.
	<br>Create a new Ruby action and execute it to see if it works.		<br>Create a new Ruby action and execute it to see if it works.

Cg: /* GNU Octave Installation (Matlab compatible Scripting) */

2026-04-21T06:32:56Z

GNU Octave Installation (Matlab compatible Scripting)

← Nächstältere Version		Version vom 21. April 2026, 06:32 Uhr
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	== <div id="GNU_Octave_Installation">GNU Octave Installation</div> (Matlab compatible Scripting) ==		== <div id="GNU_Octave_Installation">GNU Octave Installation</div> (Matlab compatible Scripting) ==

		⚫	Download: https://octave.org/download
	;OS X (Mac):
		⚫	<br>OpenSuse users can "<code>zypper install octave</code>".
	: Download a dmg from
	:  https://wiki.octave.org/Octave_for_macOS
	: or:
⚫	: ~~ ~~https://octave~~-app~~.org
	: or:
⚫	: <code>~~sudo port~~ install octave</code>

	;Windows:
	:Download from https://www.gnu.org/software/octave/download.

	Warning: octave is huge (roughly 1Gb download).		Warning: octave is huge (roughly 1Gb download).