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(define-key comint-mode-map 'comint-next-matching-input-from-input)
![pymacs rope aquamacs pymacs rope aquamacs](https://damerearly.weebly.com/uploads/1/2/7/4/127446459/809717513_orig.jpg)
(define-key comint-mode-map (kbd "M-") 'comint-previous-input) (define-key comint-mode-map (kbd "M-") 'comint-next-input) To enable up/down arrows to move through the command history in the python interpreter window add the following to /Users/User Name/Library/Preferences/Aquamacs Emacs/Preferences.el: (require 'comint)\n
Pymacs rope aquamacs code#
As a quick example open a test.py file with some simple code and type Ctrl-C Ctrl-C to launch python and run the code. It even finds my Enthought Python Distribution installation. Upon installation Aquamacs already knows where python is and plays nice. My preferred place for preferences is /Users/User Name/Library/Preferences/Aquamacs Emacs/Preferences.el and that is also where I put configuration files and emacs packages. (Other emacs installations don't play so nicely with those two tools, which are both well engrained in my muscle memory.) Currently I'm at Aquamacs 2.4. I use an Aquamacs installation, primarily because it plays nice with TextExpander and LaunchBar's Clipboard History.
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⌘-1 goes to left most buffer of tabs, ⌘-2 to second to left, etc.Note that there are so many commands just in my muscle memory that this list is highly incomplete. M is Option (Alt) or Esc (but don't hold down escape, just tap it) Translating from traditional emacs parlance for key bindings: C is Control This post is dedicated to accumulating the ways in which I use emacs. doi: 10.1002/ use an Aquamacs installation described here. Concurrency and Computation: Practice and Experience. "Species distribution modeling in the cloud". "Predicting the distributions of marine organisms at the global scale". "Mapping worldwide distributions of marine mammals using a Relative Environmental Suitability (RES) model" (PDF). "AquaMaps: algorithm and data sources for aquatic organisms" (PDF). There is also the facility to create custom maps for any species via the web by modifying the input parameters and re-running the map generating algorithm in real time, and a variety of other tools including the investigation of effects of climate change on species distributions (see relevant section of the AquaMaps search page).
Pymacs rope aquamacs plus#
In addition to displaying individual maps per species, AquaMaps provides tools to generate species richness maps by higher taxon, plus a spatial search for all species overlapping a specified grid square. AquaMaps predictions have been validated successfully for a number of species using independent data sets and the model was shown to perform equally well or better than other standard species distribution models, when faced with the currently existing suboptimal input data sets. The project is also expanding to incorporate freshwater species, with more than 600 biodiversity maps for freshwater fishes of the Americas available as at November 2009. Īccording to the AquaMaps website in August 2013, the project held standardized distribution maps for over 17,300 species of fishes, marine mammals and invertebrates. The underlying model represents a modified version of the relative environmental suitability (RES) model developed by Kristin Kaschner to generate global predictions of marine mammal occurrences. AquaMaps is a collaborative project with the aim of producing computer-generated (and ultimately, expert reviewed) predicted global distribution maps for marine species on a 0.5 x 0.5 degree grid of the oceans based on data available through online species databases such as FishBase and SeaLifeBase and species occurrence records from OBIS or GBIF and using an environmental envelope model (see niche modelling) in conjunction with expert input.