fixes

docs/tutorials/work_with_lsdb.ipynb

@@ -5,9 +5,9 @@
    "id": "6171e5bbd47ce869",
    "metadata": {},
    "source": [
-    "# Load large catalog data from the LSDB\n",
+    "# Load large catalog data with LSDB\n",
     "\n",
-    "Here we load a small part of ZTF DR14 stored as HiPSCat catalog using the [LSDB](https://lsdb.readthedocs.io/).\n",
+    "Here we load a small part of ZTF DR14 stored as HiPSCat catalog using [LSDB](https://lsdb.readthedocs.io/).\n",
     "\n",
     "The notebook is an adaptation of [the tutorial](https://github.com/lincc-frameworks/Rare_Gems_Demo/blob/main/Notebook_2_Basic_Time_Domain.ipynb) presented by Neven Caplar at the Rare Gems in Big Data conference, May 2024. "
    ]
@@ -17,9 +17,12 @@
    "id": "c055a44b8ce3b34",
    "metadata": {},
    "source": [
-    "## Install LSDB and its dependencies and import the necessary modules\n",
+    "## Install dependencies for the notebook\n",
     "\n",
-    "We also need `aiohttp`, which is an optional LSDB's dependency, needed to access the catalog data from the web."
+    "The notebook requires `nested-dask` and few other packages to be installed.\n",
+    "- `lsdb` to load and join \"object\" (pointing) and \"source\" (detection) ZTF catalogs\n",
+    "- `light-curve` to extract features from light curves\n",
+    "- `matplotlib` to plot the results"
    ]
   },
   {
@@ -34,8 +37,11 @@
    },
    "outputs": [],
    "source": [
+    "# Uncomment the following line to install nested-dask\n",
+    "# %pip install nested-dask\n",
+    "\n",
     "# Comment the following line to skip dependencies installation\n",
-    "%pip install aiohttp lsdb light-curve matplotlib"
+    "%pip install --quiet lsdb light-curve matplotlib"
    ]
   },
   {