Doc/Intro: list Python libraries used by DataLab

Author: PierreRaybaut

doc/intro/index.rst

@@ -5,13 +5,21 @@ Getting started
     :description: Getting started with DataLab, the open platform for signal and image processing
     :keywords: DataLab, signal processing, image processing, open platform, scientific data, industrial data, industrial-grade software
 
-DataLab is an open platform for signal and image processing.
-Its functional scope is intentionally broad. With its many functions,
-some of them technically advanced, DataLab enables the processing and
-visualization of all types of scientific data. As a result, scientific,
-industrial, and innovation stakeholders can have access to an
-easy-to-use tool that is simple to adapt and offers the reliability
-of industrial-grade software.
+DataLab is an open platform for signal and image processing. Its functional scope is
+intentionally broad. With its many functions, some of them technically advanced, DataLab
+enables the processing and visualization of all types of scientific data. As a result,
+scientific, industrial, and innovation stakeholders can have access to an easy-to-use
+tool that seemlessly integrates into their workflow and offers the reliability of
+industrial-grade software.
+
+DataLab leverages the power of Python and its scientific ecosystem, through the use of
+the following libraries:
+
+- `NumPy <https://numpy.org/>`_ for numerical computing (arrays, linear algebra, etc.)
+- `SciPy <https://www.scipy.org/>`_ for scientific computing (interpolation, special functions, etc.)
+- `scikit-image <https://scikit-image.org/>`_ and `OpenCV <https://opencv.org/>` for image processing
+- `PyWavelets <https://pywavelets.readthedocs.io/en/latest/>`_ for wavelet transform
+- `PlotPyStack <https://github.com/PlotPyStack/>`_ for Qt-based interactive data visualization
 
 .. only:: html and not latex
 

doc/locale/fr/LC_MESSAGES/intro/index.po

@@ -8,7 +8,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: DataLab \n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2024-02-16 14:01+0100\n"
+"POT-Creation-Date: 2024-03-05 09:04+0100\n"
 "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
 "Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
 "Language-Team: LANGUAGE <LL@li.org>\n"
@@ -17,35 +17,40 @@ msgstr ""
 "Content-Transfer-Encoding: 8bit\n"
 "Generated-By: Babel 2.13.0\n"
 
-#: ../../intro/index.rst:45
+#: ../../intro/index.rst:53
 msgid "Contents:"
 msgstr "Sommaire :"
 
 #: ../../intro/index.rst:-1
 msgid ""
 "Getting started with DataLab, the open platform for signal and image "
 "processing"
-msgstr "Premiers pas avec DataLab, la plateforme open-source de traitement de signaux et d'images"
+msgstr ""
+"Premiers pas avec DataLab, la plateforme open-source de traitement de "
+"signaux et d'images"
 
 #: ../../intro/index.rst:-1
 msgid ""
 "DataLab, signal processing, image processing, open platform, scientific "
 "data, industrial data, industrial-grade software"
-msgstr "DataLab, traitement de signaux, traitement d'images, plateforme ouverte, données scientifiques, données industrielles, logiciel industriel"
+msgstr ""
+"DataLab, traitement de signaux, traitement d'images, plateforme ouverte, "
+"données scientifiques, données industrielles, logiciel industriel"
 
 #: ../../intro/index.rst:2
 msgid "Getting started"
 msgstr "Premiers pas"
 
 #: ../../intro/index.rst:8
+#, fuzzy
 msgid ""
 "DataLab is an open platform for signal and image processing. Its "
 "functional scope is intentionally broad. With its many functions, some of"
 " them technically advanced, DataLab enables the processing and "
 "visualization of all types of scientific data. As a result, scientific, "
 "industrial, and innovation stakeholders can have access to an easy-to-use"
-" tool that is simple to adapt and offers the reliability of industrial-"
-"grade software."
+" tool that seemlessly integrates into their workflow and offers the "
+"reliability of industrial-grade software."
 msgstr ""
 "DataLab est une plateforme ouverte de traitement de signaux et d'images. "
 "Son périmètre fonctionnel est volontairement large. Avec ses nombreuses "
@@ -55,8 +60,50 @@ msgstr ""
 "d'un outil facile à utiliser, simple à adapter et offrant la fiabilité "
 "d'un logiciel industriel."
 
+#: ../../intro/index.rst:15
+msgid ""
+"DataLab leverages the power of Python and its scientific ecosystem, "
+"through the use of the following libraries:"
+msgstr ""
+"DataLab s'appuie sur la puissance de Python et de son écosystème "
+"scientifique, grâce à l'utilisation des bibliothèques suivantes :"
+
+#: ../../intro/index.rst:18
+msgid ""
+"`NumPy <https://numpy.org/>`_ for numerical computing (arrays, linear "
+"algebra, etc.)"
+msgstr ""
+"`NumPy <https://numpy.org/>`_ pour le calcul numérique (tableaux, algèbre"
+" linéaire, etc.)"
+
+#: ../../intro/index.rst:19
+msgid ""
+"`SciPy <https://www.scipy.org/>`_ for scientific computing "
+"(interpolation, special functions, etc.)"
+msgstr ""
+"`SciPy <https://www.scipy.org/>`_ pour le calcul scientifique "
+"(interpolation, fonctions spéciales, etc.)"
+
+#: ../../intro/index.rst:20
+msgid ""
+"`scikit-image <https://scikit-image.org/>`_ and `OpenCV "
+"<https://opencv.org/>` for image processing"
+msgstr "`scikit-image <https://scikit-image.org/>`_ et `OpenCV <https://opencv.org/>` pour le traitement d'images"
+
 #: ../../intro/index.rst:21
 msgid ""
+"`PyWavelets <https://pywavelets.readthedocs.io/en/latest/>`_ for wavelet "
+"transform"
+msgstr "`PyWavelets <https://pywavelets.readthedocs.io/en/latest/>`_ pour la transformée en ondelettes"
+
+#: ../../intro/index.rst:22
+msgid ""
+"`PlotPyStack <https://github.com/PlotPyStack/>`_ for Qt-based interactive"
+" data visualization"
+msgstr "`PlotPyStack <https://github.com/PlotPyStack/>`_ pour la visualisation interactive de données basée sur Qt"
+
+#: ../../intro/index.rst:29
+msgid ""
 "<svg version=\"1.1\" width=\"1.0em\" height=\"1.0em\" class=\"sd-octicon "
 "sd-octicon-package sd-text-info\" viewBox=\"0 0 16 16\" aria-"
 "hidden=\"true\"><path fill-rule=\"evenodd\" d=\"M8.878.392a1.75 1.75 0 "
@@ -69,11 +116,11 @@ msgid ""
 "8.432v5.516z\"></path></svg>  Installation"
 msgstr "Installation"
 
-#: ../../intro/index.rst:25
+#: ../../intro/index.rst:33
 msgid "How to install DataLab on your computer"
 msgstr "Comment installer DataLab sur votre ordinateur"
 
-#: ../../intro/index.rst:27
+#: ../../intro/index.rst:35
 msgid ""
 "<svg version=\"1.1\" width=\"1.0em\" height=\"1.0em\" class=\"sd-octicon "
 "sd-octicon-gift sd-text-info\" viewBox=\"0 0 16 16\" aria-"
@@ -93,11 +140,11 @@ msgid ""
 "01-.25-.25V9.5h4.75z\"></path></svg>  Introduction"
 msgstr "Introduction"
 
-#: ../../intro/index.rst:31
+#: ../../intro/index.rst:39
 msgid "Use cases and key strengths of DataLab"
 msgstr "Cas d'utilisation et points forts de DataLab"
 
-#: ../../intro/index.rst:33
+#: ../../intro/index.rst:41
 msgid ""
 "<svg version=\"1.1\" width=\"1.0em\" height=\"1.0em\" class=\"sd-octicon "
 "sd-octicon-star sd-text-info\" viewBox=\"0 0 16 16\" aria-"
@@ -112,11 +159,11 @@ msgid ""
 "2.694v.001z\"></path></svg>  Key features"
 msgstr "Fonctionnalités clés"
 
-#: ../../intro/index.rst:37
+#: ../../intro/index.rst:45
 msgid "Feature matrix of DataLab"
 msgstr "Matrice des fonctionnalités de DataLab"
 
-#: ../../intro/index.rst:39
+#: ../../intro/index.rst:47
 msgid ""
 "<svg version=\"1.1\" width=\"1.0em\" height=\"1.0em\" class=\"sd-octicon "
 "sd-octicon-mortar-board sd-text-info\" viewBox=\"0 0 16 16\" aria-"
@@ -134,7 +181,7 @@ msgid ""
 "Tutorials"
 msgstr "Tutoriels"
 
-#: ../../intro/index.rst:43
+#: ../../intro/index.rst:51
 msgid "Tutorials to learn how to use DataLab"
 msgstr "Tutoriels pour apprendre à utiliser DataLab"
 
@@ -404,3 +451,9 @@ msgstr "Tutoriels pour apprendre à utiliser DataLab"
 #~ "dans la communauté open source, dont "
 #~ "tout éditeur de renom devrait être "
 #~ "un membre actif."
+
+#~ msgid "`scikit-image <https://scikit-image.org/>`_ for image processing"
+#~ msgstr ""
+
+#~ msgid "`OpenCV <https://opencv.org/>`_ for computer vision"
+#~ msgstr ""