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Remove extra header
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notebooks/getting-started-with-dataframes/notebook.ipynb

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@@ -212,7 +212,7 @@
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"metadata": {},
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"source": [
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"The code below will create the table in the server from the given `DataFrame`. The data types for the database table will be inferred from\n",
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"the `DataFrame` data types. The `force=True` is merely used here in case you run the notebook code multiple times against the same\n",
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"the `DataFrame` data types. The `overwrite=True` is merely used here in case you run the notebook code multiple times against the same\n",
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"database. It will cause an existing `phones` table to be overwritten if it already exists."
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]
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},
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"metadata": {},
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"outputs": [],
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"source": [
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"phones_tbl = conn.create_table('phones', phones_df, force=True)\n",
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"phones_tbl = conn.create_table('phones', phones_df, overwrite=True)\n",
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"phones_tbl.head(3)"
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]
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},
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"metadata": {},
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"outputs": [],
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"source": [
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"tbl_2 = conn.create_table('phones2', phones_tbl, force=True)\n",
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"tbl_2 = conn.create_table('phones2', phones_tbl, overwrite=True)\n",
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"tbl_2"
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]
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},

notebooks/getting-started-with-notebooks/notebook.ipynb

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"df = pd.read_csv(url, index_col=0,\n",
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" # Use parse_date=, dtype=, and converters= to specify explicit data types\n",
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" parse_dates=['inspection_date'],\n",
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" date_format='%m/%d/%Y %H:%M:%S %p',\n",
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" dtype=dict(business_id=int, business_phone_number=str, business_postal_code=str, inspection_score=float),\n",
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" converters=dict(business_location=str_to_shapely))\n",
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"df"
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"source": [
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"%%sql\n",
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"DROP DATABASE IF EXISTS {{database_name}};\n",
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"\n",
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"CREATE DATABASE {{database_name}};"
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]
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},

notebooks/how-to-build-llm-apps-that-can-see-hear-speak/notebook.ipynb

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"</div>"
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]
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},
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{
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"cell_type": "markdown",
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"id": "215c4617-6ebd-43fc-aa25-904fec4bdf5e",
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"metadata": {},
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"source": [
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"# How to Build LLM Apps that can See, Hear, Speak"
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]
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},
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{
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"cell_type": "markdown",
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"id": "a2a7fa17-ff2a-4abf-922d-af00514ab87e",

notebooks/hybrid-search/notebook.ipynb

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"all_embeddings.shape"
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]
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},
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{
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"cell_type": "markdown",
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"id": "d74c544f-feea-4d48-84be-c62bf5cb4ea3",
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"metadata": {},
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"source": [
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"Merge embedding values into `data` rows."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,

notebooks/integrating-with-pandas/notebook.ipynb

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"metadata": {},
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"outputs": [],
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"source": [
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"ibis_iris = ibis_conn.create_table('iris', iris, force=True)\n",
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"ibis_iris = ibis_conn.create_table('iris', iris, overwrite=True)\n",
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"ibis_iris.limit(10).execute()"
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]
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},

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