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update slide formattings
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augustopher committed Aug 10, 2023
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113 changes: 79 additions & 34 deletions notebooks/00-Introduction.ipynb
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}
},
"source": [
"## About Gus\n",
"## Gus Powers\n",
"<table><tr>\n",
" <td><img width=\"300\" src=\"images/gus.jpg\"></td>\n",
" <td>\n",
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"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
"slide_type": "skip"
}
},
"source": [
"## Jay Cunningham\n",
"<table><tr>\n",
" <td><img width=\"300\" src=\"images/jay.jpg\"></td>\n",
" <td>\n",
" <h3><strong>Lead Data Scientist</strong> at 84.51&deg;</h3>\n",
" <ul>\n",
" <li>Researching and developing forecasting models</li>\n",
" <li>Machine learning, Python</li>\n",
" </ul>\n",
" <h4>Academic</h4>\n",
" <ul>\n",
" <li>BA, Mathematics, University of Kentucky</li>\n",
" <li>MA, Economics, University of North Carolina (Greensboro)</li>\n",
" </ul>\n",
" <h4>Contact</h4>\n",
" <ul>\n",
" <li>LinkedIn: <a href=\"https://www.linkedin.com/mwlite/in/jay-cunningham-60612886\">Jay Cunningham</a></li>\n",
" <li>Email: <a href=\"mailto:[email protected]\">[email protected]</a></li>\n",
" </ul>\n",
" </td>\n",
"</tr></table>"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "skip"
}
},
"source": [
"## About Brad\n",
"## Brad Boehmke\n",
"<table><tr>\n",
" <td><img width=\"300\" src=\"images/brad.jpg\"></td>\n",
" <td>\n",
" <h4>Professional</h4>\n",
" <h4><strong>Director, Data Science</strong> at 84.51&deg;</h4>\n",
" <ul>\n",
" <li>Director, Advanced Programming and Technology Solutions Team</li>\n",
" <li>84.51&deg;</li>\n",
" <li>Productionizing models and science solutions</li>\n",
" <li>R&D and protogyping new solutions</li>\n",
" <li>Python, R, & MLOps toolchain</li>\n",
" </ul>\n",
" <h4>Academic</h4>\n",
" <ul>\n",
Expand All @@ -98,32 +130,33 @@
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
"slide_type": "skip"
}
},
"source": [
"## About Ethan\n",
"## Ethan Swan\n",
"<table><tr>\n",
" <td><img width=\"300\" src=\"images/ethan.jpg\"></td>\n",
" <td>\n",
" <h4>Professional</h4>\n",
" <ul>\n",
" <li>Associate Fullstack Developer</li>\n",
" <li>ReviewTrackers</li>\n",
" </ul>\n",
" <h4>Academic</h4>\n",
" <ul>\n",
" <li>BS, Computer Science, University of Notre Dame</li>\n",
" <li>MBA, Business Analytics, University of Notre Dame</li>\n",
" </ul>\n",
" <h4>Contact</h4>\n",
" <ul>\n",
" <li>Website: <a href=\"https://ethanswan.com\">ethanswan.com</a></li>\n",
" <li>GitHub: <a href=\"https://github.com/eswan18/\">eswan18</a></li>\n",
" <li>Twitter: <a href=\"https://twitter.com/eswan18\">@eswan18</a></li>\n",
" <li>LinkedIn: <a href=\"https://linkedin.com/in/ethanpswan\">Ethan Swan</a></li>\n",
" <li>Email: <a href=\"mailto:[email protected]\">[email protected]</a></li>\n",
" </ul>\n",
" <h4><strong>Senior Backend Engineer</strong> at ReviewTrackers</h4>\n",
" <ul>\n",
" <li>Rest API development</li>\n",
" <li>Putting ML models in production</li>\n",
" <li>Python, Go, Ruby, & ReactJS (JavaScript)</li>\n",
" </ul>\n",
" <h4>Academic</h4>\n",
" <ul>\n",
" <li>BS, Computer Science, University of Notre Dame</li>\n",
" <li>MBA, Business Analytics, University of Notre Dame</li>\n",
" </ul>\n",
" <h4>Contact</h4>\n",
" <ul>\n",
" <li>Website: <a href=\"https://ethanswan.com\">ethanswan.com</a></li>\n",
" <li>GitHub: <a href=\"https://github.com/eswan18/\">eswan18</a></li>\n",
" <li>Twitter: <a href=\"https://twitter.com/eswan18\">@eswan18</a></li>\n",
" <li>LinkedIn: <a href=\"https://linkedin.com/in/ethanpswan\">Ethan Swan</a></li>\n",
" <li>Email: <a href=\"mailto:[email protected]\">[email protected]</a></li>\n",
" </ul>\n",
" </td>\n",
"</tr></table>"
]
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"| | Break | 2:00 - 2:15 |\n",
"| | Packages, Modules, Methods, Functions | 2:15 - 3:00 |\n",
"| | Importing Data | 3:00 - 3:45 |\n",
"| | Q\\&A | 3:45 - 4:15 |\n",
"| __Day 2__ | Q\\&A | 12:45 - 1:15 |\n",
"| | Q&A | 3:45 - 4:15 |\n",
"| __Day 2__ | Q&A | 12:45 - 1:15 |\n",
"| | Selecting and Filtering Data | 1:15 - 2:00 |\n",
"| | Working with Columns | 2:00 - 2:45 |\n",
"| | Break | 2:45 - 3:00 |\n",
"| | Case Study, pt. 1 | 3:00 - 3:45 |\n",
"| | Q\\&A | 3:45 - 4:15 |\n",
"| __Day 3__ | Q\\&A | 12:45 - 1:15 |\n",
"| | Q&A | 3:45 - 4:15 |"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"| Day | Topic | Time |\n",
"| :--------:| :----------------------------------------------------------------------------- | :-----------: |\n",
"| __Day 3__ | Q&A | 12:45 - 1:15 |\n",
"| | Review | 1:15 - 1:30 |\n",
"| | Summarizing Data | 1:30 - 2:15 |\n",
"| | Break | 2:15 - 2:30 |\n",
"| | Summarizing Grouped Data | 2:30 - 3:00 |\n",
"| | Joining Data | 3:00 - 3:45 |\n",
"| | Q\\&A | 3:45 - 4:15 |\n",
"| __Day 4__ | Q\\&A | 12:45 - 1:15 |\n",
"| | Q&A | 3:45 - 4:15 |\n",
"| __Day 4__ | Q&A | 12:45 - 1:15 |\n",
"| | Exporting Data | 1:15 - 1:45 |\n",
"| | Visualizing Data | 1:45 - 2:45 |\n",
"| | Break | 2:45 - 3:00 |\n",
"| | Case Study, pt. 2 | 3:00 - 3:45 |\n",
"| | Q\\&A | 3:45 - 4:15 |"
"| | Q&A | 3:45 - 4:15 |"
]
},
{
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.17"
"version": "3.11.4"
},
"rise": {
"autolaunch": true,
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2 changes: 1 addition & 1 deletion notebooks/01-Python-and-Jupyter.ipynb
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"More recently, the [2021 Stack Overflow Developer Survey](https://insights.stackoverflow.com/survey/2021) shows that Python is used by over 48% of all \"developers\"\n",
"\n",
"<center>\n",
"<img src=\"images/so_dev_survey.png\" alt=\"Stack Overflow Dev Survey\" width=\"60%\" height=\"60%\">\n",
"<img src=\"images/so_dev_survey.png\" alt=\"Stack Overflow Dev Survey\" width=\"50%\" height=\"50%\">\n",
"</center>"
]
},
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20 changes: 18 additions & 2 deletions notebooks/02-Fundamentals.ipynb
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Expand Up @@ -32,7 +32,17 @@
}
},
"source": [
"## Applied Review\n",
"## Applied Review"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"source": [
"### Python and Jupyter"
]
},
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" 'Microsoft': 'Satya Nadella'}\n",
"```\n",
"\n",
"*How might you approach #2 if you needed to look up both the CEO and the CFO? What data structure would you use? There are several possible solutions.*"
"<br></br>\n",
"\n",
"<div class=\"admonition tip alert alert-warning\">\n",
" <b><p class=\"first admonition-title\" style=\"font-weight: bold\">Question</p></b>\n",
" <p>How might you approach #2 if you needed to look up both the CEO and the CFO?</p>\n",
" <p>What data structure would you use? There are several possible solutions.</p>\n",
"</div>"
]
},
{
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23 changes: 16 additions & 7 deletions notebooks/03-Packages-Modules-Function.ipynb
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"### Your Turn\n",
"\n",
"The below cell has code to load in the first 100 rows of the airports data as `airports`.\n",
"The data contains the airport code, airport name, and some basic facts about the airport location.\n",
"\n",
"1. What kind of index is the current index of `airports`? \n",
"2. Is this a good choice for the DataFrame's index? If not, what column or columns would be a better candidate?\n",
"3. If you chose a different column to be the index, make it your index using `airports.set_index()`.\n",
"4. Using your new index, look up \"Pittsburgh-Monroeville Airport\", code 4G0. What is its altitude?\n",
"5. Reset your index in case you want to make a different column your index in the future."
"The data contains the airport code, airport name, and some basic facts about the airport location."
]
},
{
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"airports.head()"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"1. What kind of index is the current index of `airports`? \n",
"2. Is this a good choice for the DataFrame's index? If not, what column or columns would be a better candidate?\n",
"3. If you chose a different column to be the index, make it your index using `airports.set_index()`.\n",
"4. Using your new index, look up \"Pittsburgh-Monroeville Airport\", code 4G0. What is its altitude?\n",
"5. Reset your index in case you want to make a different column your index in the future."
]
},
{
"cell_type": "markdown",
"metadata": {
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18 changes: 7 additions & 11 deletions notebooks/05-Selecting-and-Filtering.ipynb
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Expand Up @@ -663,7 +663,7 @@
}
},
"source": [
"We can select a single variable and return a DataFrame by still using bracket subsetting notation, but this time we will <span style=\"color: blue\">pass a <u>`list`</u> of variables names</span>:"
"We can select a single variable and return a DataFrame by still using bracket subsetting notation, but this time we will pass a `list` of variables names:"
]
},
{
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"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "fragment"
"slide_type": "slide"
}
},
"source": [
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"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "fragment"
"slide_type": "slide"
}
},
"source": [
"Note that each condition is wrapped in parentheses -- this is required."
"<div class=\"admonition note alert alert-info\">\n",
" <b><p class=\"first admonition-title\" style=\"font-weight: bold\">Note</p></b>\n",
" <p>Note that each condition is wrapped in parentheses -- this is <b><em>required</em></b>.</p>\n",
"</div>"
]
},
{
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"\n",
"Are there any questions before we move on?"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
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