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what_is_new_5 [2019/10/31 03:34]
admin
what_is_new_5 [2020/12/04 01:31] (current)
admin
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 ===== What is New in Dinamica EGO 5 ===== ===== What is New in Dinamica EGO 5 =====
  
-Dinamica EGO brings several groundbreaking improvements in several areas:+(See the changelog specific for [[what_is_new_5_2_0|version ​5.2.0]] and [[what_is_new_5_2_1|version 5.2.1]])
  
 **Execution** **Execution**
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   * Now images are manipulated in parallel even when they are too big to fit in memory.   * Now images are manipulated in parallel even when they are too big to fit in memory.
  
-  * Additional ​of new options to control how memory allocation for maps works.+  * Additional new options to control how memory allocation for maps works.
  
-  * [EXPERIMENTAL] Certain functors can have their execution accelerated using GPUs (called accelerators). The use of Nvidia and AMD GPU models released after 2016 is advised.+  * [EXPERIMENTAL] Certain functors can have their execution accelerated using GPUs (called accelerators). The use of Nvidia and AMD GPU card models released after 2016 is advised.
  
 {{:​screens:​dinamica_ego_-_parallel.png?​direct&​400|}} {{:​screens:​dinamica_ego_-_parallel.png?​direct&​400|}}
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 **Internationalization** **Internationalization**
  
-   * Now it is possible to provided file paths, and comments and alias for functors in almost any language. The graphical interface itself is still available only in English, though.+   * Now it is possible to provided file paths, and also comments and alias for functors in almost any language. The graphical interface itself is still available only in English, though.
  
 {{:​screens:​intern1.png?​direct&​400|}} {{:​screens:​intern1.png?​direct&​400|}}
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 **Integration** **Integration**
  
-   * Improved integration with R: It is now possible to install packages even if R is being provided by the Enhancement Plugin. Just replace the typical import statement '​library (NAME)'​ with '​dinamicaPackage("​NAME"​)'​ when importing packages from your scripts. By doing so, packages will be automatically downloaded and installed, if necessary. An option in the Options dialog ​control ​+   * Improved integration with R: It is now possible to install packages even if R is being provided by the Enhancement Plugin. Just replace the typical import statement '​library (NAME)'​ with '​dinamicaPackage("​NAME"​)'​ when importing packages from your scripts. By doing so, packages will be automatically downloaded and installed, if necessary. An option in the Tools->Options dialog ​defines the mirror repository from where R packages are downloaded by Dinamica EGO. 
  
    * Integration with Python: Python can now be used to create functors, via [[Calculate Python Expression]] as part of the models. It is now possible to install packages by using '​dinamica.package("​NAME"​)'​ when importing packages. Similarly how it works for R, Python packages will be automatically downloaded and installed from the PIP repository, if necessary. Packages can also be installed from custom locations. And unlike R, the Python interpreter is deployed with Dinamica EGO, so it is possible to use Python to create functors out of the box.    * Integration with Python: Python can now be used to create functors, via [[Calculate Python Expression]] as part of the models. It is now possible to install packages by using '​dinamica.package("​NAME"​)'​ when importing packages. Similarly how it works for R, Python packages will be automatically downloaded and installed from the PIP repository, if necessary. Packages can also be installed from custom locations. And unlike R, the Python interpreter is deployed with Dinamica EGO, so it is possible to use Python to create functors out of the box.
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 **Portable** **Portable**
  
-   * Windows version can be used without having to be installed (portable version). However, the full installer is still recommended for easier deployment and for a better overall experience.+   * Windows version ​of Dinamica EGO can now be used without having to be installed (portable version). However, the full installer is still recommended for easier deployment and for a better overall experience.
  
 **Submodels** **Submodels**