God bless docker - 10 sec to use Jekyll. Fix the problem with the website.

Author: JulienPeloton

README.md

@@ -13,7 +13,7 @@
 - [08/2018] **Release**: version 0.2.0, 0.2.1 (pyspark3d)
 - [09/2018] **Release**: version 0.2.2
 
-<p align="center"><img width="500" src="https://github.com/astrolabsoftware/spark3D/raw/master/pic/spark3d_newapi.png"/>
+<p align="center"><img width="300" src="https://github.com/astrolabsoftware/spark3D/raw/master/pic/spark3d_newapi.png"/>
 </p>
 
 ## Rationale

docs/01_installation.md

@@ -194,8 +194,8 @@ toto:~$ PYSPARK_DRIVER_PYTHON=ipython pyspark \
 # Batch mode and provided examples
 
 You can follow the different tutorials:
-- Loading data [Scala]({{ site.baseurl }}{% link 02_introduction_scala.md %}), [Python]({{ site.baseurl }}{% link 02_introduction_python.md %})
-- Space partitioning [Scala]({{ site.baseurl }}{% link 03_partitioning_scala.md %}), [Python]({{ site.baseurl }}{% link 03_partitioning_python.md %})
+- Repartitioning [Scala]({{ site.baseurl }}{% link 02_repartitioning_scala.md %}), [Python]({{ site.baseurl }}{% link 02_repartitioning_python.md %})
+- Visualisation [Scala]({{ site.baseurl }}{% link 03_visualisation_scala.md %}), [Python]({{ site.baseurl }}{% link 03_visualisation_python.md %})
 - Query [Scala]({{ site.baseurl }}{% link 04_query_scala.md %}), [Python]({{ site.baseurl }}{% link 04_query_python.md %})
 
 We also include [Scala examples](https://github.com/astrolabsoftware/spark3D/tree/master/src/main/scala/com/spark3d/examples) and runners (`run_*.sh`) in the folder runners of the repo.

docs/_pages/home.md

@@ -13,8 +13,8 @@ excerpt: '{::nomarkdown}<iframe style="display: inline-block;" src="https://ghbt
 feature_row:
   - image_path:
     alt:
-    title: "<i class='fas fa-upload'></i> Partition your space!"
-    excerpt: "Repartition DataFrames using spark3D to speed-up your search or perform visualisation"
+    title: "<i class='fas fa-cubes'></i> Partition your space!"
+    excerpt: "Repartition DataFrames using spark3D to speed-up your future searches or perform efficient exploration"
     url: "/docs/repartitioning/scala/"
     btn_class: "btn--primary"
     btn_label: "Scala"
@@ -23,8 +23,8 @@ feature_row:
     btn_label2: "Python"
   - image_path:
     alt:
-    title: "<i class='fas fa-cubes'></i> Visualise TB of data!"
-    excerpt: "Build high-level representation of your data using spark3D, and visualise them."
+    title: "<i class='fas fa-binoculars'></i> Quickly explore huge data sets!"
+    excerpt: "Build high-level representation of your data using spark3D, and visualise it."
     url: "/docs/visualisation/scala/"
     btn_class: "btn--primary"
     btn_label: "Scala"