Example_Parallel_Data_Processing_with_Dask.ipynb

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      "source": [
        "import dask.dataframe as dd\n",
        "\n",
        "# Load a large CSV file into a Dask DataFrame\n",
        "df = dd.read_csv('large_dataset.csv')\n",
        "\n",
        "# Perform a computation (e.g., compute the mean of a column)\n",
        "mean_value = df['column_name'].mean().compute()\n",
        "\n",
        "print(f\"Mean Value: {mean_value}\")\n",
        "\n",
        "# Perform filtering and aggregation\n",
        "filtered_df = df[df['column_name'] > 50]\n",
        "agg_result = filtered_df.groupby('category_column')['value_column'].sum().compute()\n",
        "\n",
        "print(agg_result)"
      ]
    }
  ]
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