update docu and add nbdime

README.md

@@ -10,6 +10,9 @@ https://bitnik.github.io/analyse-caesar-cipher/
 
 This is a static site powered by [JupyterLite](https://jupyterlite.readthedocs.io/en/stable/) and deployed on [GitHub Pages](https://pages.github.com/).
 
+**Important**: All changes you make there, they will be stored in browser storage.
+If you want to revert all changes, you should clear the site data in your browser.
+
 ## Run on Binder
 
 [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/bitnik/analyse-caesar-cipher/HEAD?labpath=notebooks%2Fanalyse_caesar_cipher.ipynb)
@@ -30,12 +33,12 @@ pip-sync requirements.txt dev-requirements.txt
 Run jupyter lab server:
 
 ```sh
-# jupyter lab
+# Disable classic notebook view
+jupyter server extension disable nbclassic
+# Run jupyter lab
 jupyter lab notebooks/analyse_caesar_cipher.ipynb --port 8888
-# jupyter notebook
-# jupyter notebook notebooks/analyse_caesar_cipher.ipynb --port 8888
-# jupyter notebook --no-browser
 
+# jupyter server extension list
 # jupyter labextension list
 ```
 

notebooks/analyse_caesar_cipher.ipynb

@@ -169,7 +169,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "d2b74dcd",
+   "id": "3e3a43f2-42dd-4dd5-9c40-aad00d766b86",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -178,13 +178,13 @@
     "    text = f.read().strip()\n",
     "    letter_freq = calculate_letter_frequency(text)\n",
     "    # print(letter_freq)\n",
-    "    plot_histogram(letter_freq)\n",
+    "    plot_histogram(letter_freq, title=\"Frequency analysis of Hamlet\")\n",
     "\n",
     "with open(\"./data/romeo_and_juliet.txt\") as f:\n",
     "    text = f.read().strip()\n",
     "    letter_freq = calculate_letter_frequency(text)\n",
     "    # print(letter_freq)\n",
-    "    plot_histogram(letter_freq)"
+    "    plot_histogram(letter_freq, title=\"Frequency analysis of Romeo and Juliet\")"
    ]
   },
   {
@@ -225,7 +225,7 @@
     "    \"z\": 0.074,\n",
     "}\n",
     "# print(sum(LETTER_FREQUENCY.values()))\n",
-    "plot_histogram(LETTER_FREQUENCY)"
+    "plot_histogram(LETTER_FREQUENCY, title=\"Frequency analysis of English alphabet\")"
    ]
   },
   {
@@ -371,7 +371,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "14b70d87-19d9-48db-aa84-a1d44cf17dda",
+   "id": "b001a06d-9a97-4a86-a51a-ff759424b018",
    "metadata": {},
    "outputs": [],
    "source": []

pyproject.toml

@@ -8,6 +8,7 @@ dependencies = [
   # Python kernel for jupyterlite
   "jupyterlite-pyodide-kernel==0.4.2",
   "matplotlib==3.9.2",
+  "nbdime==4.0.2",
 ]
 requires-python = ">=3.12"
 authors = [