update documentation

README.md

@@ -1,5 +1,5 @@
 <h1 align="center">
-<img src="img/ttp_logo.png" width="350">
+<img src="https://i.ibb.co/djVdtn9/ttp-logo.png" width="350">
 </h1>
 
 ## 💪 Bringing the Power of tidyverse to Pandas!

docs/example.ipynb

@@ -4,7 +4,7 @@
             "cell_type": "markdown",
             "metadata": {},
             "source": [
-                "# Example usage\n",
+                "# Simple Example usage\n",
                 "\n",
                 "The `tidyversetopandas` package brings the familiar syntax of R's tidyverse to Python's pandas library, making it an invaluable tool for data scientists and analysts who are transitioning from R to Python. This documentation provides a real-life example demonstrating how to use the key functions of `tidyversetopandas`, including `mutate`, `filter`, `select`, and `arrange`.\n"
             ]

docs/index.md

@@ -1,13 +1,15 @@
 ```{include} ../README.md
+
 ```
 
 ```{toctree}
 :maxdepth: 1
 :hidden:
 
 example.ipynb
+tutorial.ipynb
 changelog.md
 contributing.md
 conduct.md
 autoapi/index
-```
+```

docs/tutorial.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Tutorial: Analyzing the Palmer Penguins Dataset with `tidyversetopandas`\n",
+    "# Tutorial: Palmer Penguins Dataset\n",
     "\n",
     "In this tutorial, we will explore the Palmer Penguins dataset using the tidyversetopandas package. This package simplifies data manipulation in Python by bringing R's tidyverse-like functionality to pandas. We'll demonstrate how to use its key functions: `select`, `mutate`, `filter`, and `arrange`.\n"
    ]
@@ -269,8 +269,7 @@
    ],
    "source": [
     "print(newPenguins.shape)\n",
-    "newPenguins = ttp.filter(\n",
-    "    newPenguins, \"species == 'Adelie' & body_mass_g > 3000\")\n",
+    "newPenguins = ttp.filter(newPenguins, \"species == 'Adelie' & body_mass_g > 3000\")\n",
     "print(newPenguins.shape)"
    ]
   },
@@ -1181,8 +1180,7 @@
     }
    ],
    "source": [
-    "penguins_small_bill = ttp.arrange(\n",
-    "    penguins, True, \"bill_length_mm\", \"bill_depth_mm\")\n",
+    "penguins_small_bill = ttp.arrange(penguins, True, \"bill_length_mm\", \"bill_depth_mm\")\n",
     "penguins_small_bill.head(1)"
    ]
   },
@@ -1303,7 +1301,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.18"
+   "version": "3.11.7"
   }
  },
  "nbformat": 4,