|
73 | 73 | "slide_type": "slide"
|
74 | 74 | },
|
75 | 75 | "tags": [
|
76 |
| - "id_fin" |
| 76 | + "id_related-content" |
77 | 77 | ]
|
78 | 78 | },
|
79 | 79 | "source": [
|
80 |
| - "# Thank you!\n", |
| 80 | + "# Related content\n", |
81 | 81 | "\n",
|
82 |
| - "*I hope you enjoyed the workshop. Note that all the examples were developed exclusively for this workshop – check out [Hands-On Data Analysis with Pandas](https://www.amazon.com/Hands-Data-Analysis-Pandas-visualization-dp-1800563450/dp/1800563450/) and my [Beyond the Basics: Data Visualization in Python](https://github.com/stefmolin/python-data-viz-workshop) workshop for more.*\n", |
| 82 | + "*All examples herein were developed exclusively for this workshop – check out [Hands-On Data Analysis with Pandas](https://www.amazon.com/Hands-Data-Analysis-Pandas-visualization-dp-1800563450/dp/1800563450/) and my [Beyond the Basics: Data Visualization in Python](https://github.com/stefmolin/python-data-viz-workshop) workshop for more.*\n", |
83 | 83 | "\n",
|
84 | 84 | "<div style=\"text-align: center;\">\n",
|
85 | 85 | " <img width=\"20%\" src=\"https://raw.githubusercontent.com/stefmolin/Hands-On-Data-Analysis-with-Pandas-2nd-edition/master/_img/pandas_drawing.PNG\" style=\"min-width: 200px\">\n",
|
|
88 | 88 | " </small></div>\n",
|
89 | 89 | "</div>"
|
90 | 90 | ]
|
| 91 | + }, |
| 92 | + { |
| 93 | + "cell_type": "markdown", |
| 94 | + "id": "0f37ebbc-a5f8-4a61-8a18-c74528ee1220", |
| 95 | + "metadata": { |
| 96 | + "slideshow": { |
| 97 | + "slide_type": "skip" |
| 98 | + }, |
| 99 | + "tags": [] |
| 100 | + }, |
| 101 | + "source": [ |
| 102 | + "# Thank you!\n", |
| 103 | + "\n", |
| 104 | + "*I hope you enjoyed the session. You can follow my work on the following platforms:*\n", |
| 105 | + "\n", |
| 106 | + "<div style=\"margin-left: 20px;\">\n", |
| 107 | + " <p>\n", |
| 108 | + " <i class=\"fab fa-github-square fa-2x\" style=\"position: relative; top: 2px;\"></i>\n", |
| 109 | + " <a style=\"padding-left: 2px; font-size: 2em;\" href=\"https://github.com/stefmolin\" target=\"_blank\" rel=\"noopener noreferrer\">\n", |
| 110 | + " github.com/stefmolin\n", |
| 111 | + " </a>\n", |
| 112 | + " </p>\n", |
| 113 | + " <p>\n", |
| 114 | + " <i class=\"fab fa-twitter-square fa-2x\" style=\"position: relative; top: 2px;\"></i>\n", |
| 115 | + " <a style=\"padding-left: 2px; font-size: 2em;\" href=\"https://twitter.com/StefanieMolin\" target=\"_blank\" rel=\"noopener noreferrer\">\n", |
| 116 | + " twitter.com/StefanieMolin \n", |
| 117 | + " </a>\n", |
| 118 | + " </p>\n", |
| 119 | + " <p>\n", |
| 120 | + " <i class=\"fab fa-medium fa-2x\" style=\"position: relative; top: 3px;\"></i>\n", |
| 121 | + " <a style=\"padding-left: 2px; font-size: 2em;\" href=\"https://medium.com/@stefaniemolin\" target=\"_blank\" rel=\"noopener noreferrer\">\n", |
| 122 | + " medium.com/@stefaniemolin \n", |
| 123 | + " </a>\n", |
| 124 | + " </p>\n", |
| 125 | + " <p>\n", |
| 126 | + " <i class=\"fab fa-linkedin fa-2x\" style=\"position: relative; top: 2px;\"></i>\n", |
| 127 | + " <a style=\"padding-left: 2px; font-size: 2em;\" href=\"https://linkedin.com/in/stefanie-molin\" target=\"_blank\" rel=\"noopener noreferrer\">\n", |
| 128 | + " linkedin.com/in/stefanie-molin\n", |
| 129 | + " </a>\n", |
| 130 | + " </p>\n", |
| 131 | + "</div>" |
| 132 | + ] |
91 | 133 | }
|
92 | 134 | ],
|
93 | 135 | "metadata": {
|
|
106 | 148 | "name": "python",
|
107 | 149 | "nbconvert_exporter": "python",
|
108 | 150 | "pygments_lexer": "ipython3",
|
109 |
| - "version": "3.10.2" |
| 151 | + "version": "3.11.3" |
110 | 152 | }
|
111 | 153 | },
|
112 | 154 | "nbformat": 4,
|
|
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