From b9a3939de655a59983a9028f908aedb90afefe6c Mon Sep 17 00:00:00 2001
From: Alex Wolf <f.alexander.wolf@gmail.com>
Date: Thu, 21 Nov 2024 23:20:31 +0100
Subject: [PATCH] =?UTF-8?q?=F0=9F=93=9D=20Adapt=20R=20quickstart=20to=20la?=
 =?UTF-8?q?minr=200.2.0=20(#186)?=
MIME-Version: 1.0
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* 📝 Fix R quickstart

* 📝 Polish

* 💄 More polish

* 💚 Fix
---
 docs/introduction.ipynb | 32 ++++++++++++++++++--------------
 1 file changed, 18 insertions(+), 14 deletions(-)

diff --git a/docs/introduction.ipynb b/docs/introduction.ipynb
index 0654ffd3..ede5ac53 100644
--- a/docs/introduction.ipynb
+++ b/docs/introduction.ipynb
@@ -64,11 +64,11 @@
     "import lamindb as ln\n",
     "\t\n",
     "ln.track()  # track a run for a notebook or script \n",
-    "artifact = ln.Artifact.get(\"3TNCsZZcnIBv2WGb0001\")  # get an artifact record\n",
+    "artifact = ln.Artifact.get(\"3TNCsZZcnIBv2WGb0001\")  # get an artifact record by uid\n",
     "artifact.describe()   # show metadata of artifact\n",
-    "df = artifact.load()  # load artifact into memory, e.g., a DataFrame\n",
+    "df = artifact.load()  # load the artifact into memory, e.g., a DataFrame\n",
     "\n",
-    "# work with the dataset\n",
+    "# do your work\n",
     "\n",
     "ln.Artifact(\"./my_result_folder\", description=\"My result\").save()  # save a folder\n",
     "ln.finish()  # mark the run as finished\n",
@@ -77,25 +77,29 @@
     ":::{tab-item} R\n",
     "\n",
     "```R\n",
-    "install.packages(\"laminr\")  # install the R package\n",
+    "# laminr needs pip install 'lamindb[aws]'\n",
+    "install.packages(\"laminr\", dependencies = TRUE)  # install the laminr package\n",
     "library(laminr)\n",
     "\n",
-    "ln <- connect()\n",
-    "# ln$track()  # soon\n",
-    "artifact <- ln$Artifact$get(\"KBW89Mf7IGcekja2hADu\")\n",
-    "adata <- artifact$load() # load the dataset into memory\n",
+    "db <- connect()  # connect to the instance you configured on the terminal\n",
+    "db$track(path = \"./my-analysis.Rmd\")  # track a run of your notebook or script\n",
+    "artifact <- db$Artifact$get(\"3TNCsZZcnIBv2WGb0001\")  # get an artifact record by uid\n",
+    "df <- artifact$load() # load the artifact into memory, e.g., a DataFrame\n",
     "\n",
-    "# work with the dataset\n",
+    "# do your work\n",
     "\n",
-    "# ln$Artifact(\"./my_result_folder\", description=\"My result\").save()\n",
-    "# ln$finish()  # soon\n",
+    "db$Artifact(\"./my_result_folder\", description=\"My result\").save()  # save a folder\n",
+    "db$finish()  # mark the run finished\n",
     "```\n",
     "\n",
     "Save an html export for `.qmd` or `.Rmd` file as a report.\n",
     "\n",
     "```shell\n",
-    "lamin save my-analysis.qmd\n",
+    "lamin save my-analysis.Rmd\n",
     "```\n",
+    "\n",
+    "For more, see the [R docs](https://laminr.lamin.ai/).\n",
+    "\n",
     ":::\n",
     "::::"
    ]
@@ -1244,7 +1248,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "lamindb",
+   "display_name": "py310",
    "language": "python",
    "name": "python3"
   },
@@ -1258,7 +1262,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.7"
+   "version": "3.10.15"
   }
  },
  "nbformat": 4,