deploy: f7a38a1

Author: pryn-kb

_sources/docs/pandas/01_pandas_dataframe.ipynb

@@ -992,7 +992,7 @@
    "id": "b7c08842-7765-4783-9916-7325907ef19e",
    "metadata": {},
    "source": [
-    "The `axis` argument in `pandas.concat()` determines whether you are combining data along rows or columns:\n",
+    "The `axis` parameter in `pandas.concat()` determines whether you are combining data along rows or columns:\n",
     "\n",
     "`axis=0` (Default): Concatenation along Rows\\\n",
     "`axis=1`: Concatenation along Columns\n",
@@ -1307,7 +1307,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.4"
+   "version": "3.12.5"
   }
  },
  "nbformat": 4,

_sources/docs/pandas/02_pandas_tabular_data.ipynb

@@ -1993,7 +1993,7 @@
    "source": [
     "The `to_excel()` method is used to save the `DataFrame` to an Excel file.\n",
     "\n",
-    "The parameter `index=False` specifies that we do not want to include the row index in the Excel file."
+    "The argument `index=False` specifies that we do not want to include the row index in the Excel file."
    ]
   },
   {
@@ -2392,7 +2392,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.4"
+   "version": "3.12.5"
   }
  },
  "nbformat": 4,

_sources/docs/pandas/04_pandas_descriptive_statistics.ipynb

@@ -1161,7 +1161,7 @@
    "source": [
     "```{note}\n",
     "\n",
-    "Both `size()` and `count()` can be used in combination with `groupby()`. Whereas `size` includes `NaN` values and just provides the number of rows (size of the table), `count()` excludes the missing values. In the `value_counts()` method, use the `dropna()` argument to include or exclude the `NaN` values."
+    "Both `size()` and `count()` can be used in combination with `groupby()`. Whereas `size` includes `NaN` values and just provides the number of rows (size of the table), `count()` excludes the missing values. In the `value_counts()` method, use the `dropna` parameter to include or exclude the `NaN` values."
    ]
   },
   {
@@ -1205,7 +1205,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.12.5"
   }
  },
  "nbformat": 4,

_static/scripts/bootstrap.js.map

@@ -0,0 +1,5 @@
+/*!
+ * Font Awesome Free 6.5.2 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2024 Fonticons, Inc.
+ */