Update on documentations

ACCLAB · Mar 22, 2024 · c080f82 · c080f82
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diff --git a/README.md b/README.md
@@ -13,9 +13,9 @@ citation](https://zenodo.org/badge/DOI/10.1038/s41592-019-0470-3.svg)](https://r
 
 ## Recent Version Update
 
-On 22 March 2024, we officially released **DABEST Version Ondeh
-(v2024.03.29)**. This new version provides several new features and
-includes performance improvements.
+We are proud to announce **DABEST Version Ondeh (v2024.03.29)**. This
+new version of the DABEST Python library provides several new features
+and includes performance improvements.
 
 1.  **New Paired Proportion Plot**: This feature builds upon the
     existing proportional analysis capabilities by introducing advanced

diff --git a/nbs/01-getting_started.ipynb b/nbs/01-getting_started.ipynb
@@ -64,14 +64,14 @@
    "source": [
     "\n",
     "\n",
-    "Python 3.10 is strongly recommended. DABEST has also been tested with Python 3.6, 3.7 and 3.8.\n",
+    "Python 3.10 is strongly recommended. DABEST has also been tested with Python 3.8 and onwards.\n",
     "\n",
     "In addition, the following packages are also required (listed with their minimal versions):\n",
     "\n",
-    "* [numpy 1.22.4](https://www.numpy.org)\n",
+    "* [numpy 1.23.5](https://www.numpy.org)\n",
     "* [scipy 1.9.3](https://www.scipy.org)\n",
     "* [matplotlib 3.6.3](https://www.matplotlib.org)\n",
-    "* [pandas 1.5.3](https://pandas.pydata.org)\n",
+    "* [pandas 1.5.0](https://pandas.pydata.org)\n",
     "* [seaborn 0.12.2](https://seaborn.pydata.org)\n",
     "* [lqrt 0.3.3](https://github.com/alyakin314/lqrt)\n",
     "\n",

diff --git a/nbs/read_me.ipynb b/nbs/read_me.ipynb
@@ -29,7 +29,7 @@
    "source": [
     "## Recent Version Update\n",
     "\n",
-    "On 22 March 2024, we officially released **DABEST Version Ondeh (v2024.03.29)**. This new version provides several new features and includes performance improvements.\n",
+    "We are proud to announce **DABEST Version Ondeh (v2024.03.29)**. This new version of the DABEST Python library provides several new features and includes performance improvements.\n",
     "\n",
     "1. **New Paired Proportion Plot**: This feature builds upon the existing proportional analysis capabilities by introducing advanced aesthetics and clearer visualization of changes in proportions between different groups, inspired by the informative nature of Sankey Diagrams. It's particularly useful for studies that require detailed examination of how proportions shift in paired observations.\n",
     "\n",