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remove-module #9

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Nov 1, 2024
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remove-module #9

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34d8a26
remove-module
JohnTurnerNIH Oct 31, 2024
0b09670
Github Action: Lint Notebooks
Oct 31, 2024
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676 changes: 3 additions & 673 deletions AWS/quiz_files/quiz1-1.ipynb
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680 changes: 3 additions & 677 deletions AWS/quiz_files/quiz1-2.ipynb
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680 changes: 3 additions & 677 deletions AWS/quiz_files/quiz1-3.ipynb
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680 changes: 3 additions & 677 deletions AWS/quiz_files/quiz3-1.ipynb
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676 changes: 3 additions & 673 deletions AWS/quiz_files/quiz3-2.ipynb
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676 changes: 3 additions & 673 deletions AWS/quiz_files/quiz4-1.ipynb
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676 changes: 3 additions & 673 deletions AWS/quiz_files/quiz4-2.ipynb
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680 changes: 3 additions & 677 deletions AWS/quiz_files/quiz5-1.ipynb
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676 changes: 3 additions & 673 deletions AWS/quiz_files/quiz6-1.ipynb
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676 changes: 3 additions & 673 deletions AWS/quiz_files/quiz6-2.ipynb
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676 changes: 3 additions & 673 deletions AWS/quiz_files/quiz6-3.ipynb
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676 changes: 3 additions & 673 deletions AWS/quiz_files/quiz6-4.ipynb
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676 changes: 3 additions & 673 deletions AWS/quiz_files/quiz7-1.ipynb
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676 changes: 3 additions & 673 deletions AWS/quiz_files/quiz7-2.ipynb
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137 changes: 19 additions & 118 deletions AWS/submodule01_Intro_to_terminal.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -29,9 +29,7 @@
{
"cell_type": "markdown",
"id": "bf672094-38a4-4e24-87de-598a0befd5d1",
"metadata": {
"tags": []
},
"metadata": {},
"source": [
"\n",
"## Jupyter Notebook Basics\n",
Expand All @@ -57,9 +55,7 @@
"cell_type": "code",
"execution_count": null,
"id": "37a3c9e6-9725-41eb-a284-774efe841bcf",
"metadata": {
"tags": []
},
"metadata": {},
"outputs": [],
"source": [
"%%bash\n",
Expand All @@ -71,9 +67,7 @@
{
"cell_type": "markdown",
"id": "54959383-4605-42ad-bd55-fe2c09d4d498",
"metadata": {
"tags": []
},
"metadata": {},
"source": [
"<div class=\"alert alert-block alert-warning\">\n",
" <i class=\"fa fa-question-circle-o\" aria-hidden=\"true\"></i>\n",
Expand All @@ -88,9 +82,7 @@
"cell_type": "code",
"execution_count": null,
"id": "b94461dd-996b-4419-9822-127a46967918",
"metadata": {
"tags": []
},
"metadata": {},
"outputs": [],
"source": [
"%%bash\n",
Expand All @@ -106,33 +98,10 @@
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": null,
"id": "dd071114-5301-4650-8f0a-15b99e65b230",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" <iframe\n",
" width=\"600\"\n",
" height=\"250\"\n",
" src=\"quiz_files/quiz1-1.html\"\n",
" frameborder=\"0\"\n",
" allowfullscreen\n",
" \n",
" ></iframe>\n",
" "
],
"text/plain": [
"<IPython.lib.display.IFrame at 0x226d0a5d790>"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"outputs": [],
"source": [
"# FLASHCARDS\n",
"\n",
Expand All @@ -143,10 +112,7 @@
{
"cell_type": "markdown",
"id": "a26ac6a7-05e0-4c99-ad3a-32f2829d2b14",
"metadata": {
"jp-MarkdownHeadingCollapsed": true,
"tags": []
},
"metadata": {},
"source": [
"\n",
"You may notice that each cell has a vertical line to the left of it when the cell has been selected, you can click on the vertical line and collapse the cell. The same is true for the output of the code cell. Collapsing cells comes in pretty handy when the results of the code cell are long! Another way to manage commands with lengthy results is by enabling scrolling. To do this right click anywhere within the notebook and select the option for `Enable Scrolling for Outputs`.\n",
Expand Down Expand Up @@ -207,9 +173,7 @@
{
"cell_type": "markdown",
"id": "ffdf8adf-ce9e-462d-94d4-3d44b850c0ee",
"metadata": {
"tags": []
},
"metadata": {},
"source": [
"\n",
"### Getting Started in the Terminal Environment\n",
Expand Down Expand Up @@ -241,9 +205,7 @@
"cell_type": "code",
"execution_count": null,
"id": "054614c2-3eb0-46bc-91a1-2578593f3687",
"metadata": {
"tags": []
},
"metadata": {},
"outputs": [],
"source": [
"%%bash\n",
Expand All @@ -255,9 +217,7 @@
{
"cell_type": "markdown",
"id": "7353d25e-9eed-4ff7-9176-502a0b3b9773",
"metadata": {
"tags": []
},
"metadata": {},
"source": [
"Notice that in the terminal window to exit out of the manual we had to use the `q` to get the prompt to return. Another way of looking at a summary of the information in the manual page is with the `--help` flag. Try typing `mkdir --help` in the terminal window. The information in the manual pages tends to be more clearly laid out and better organized, but the `--help` flag is a quick and easy way to remind yourself of the flags available.\n",
"\n",
Expand Down Expand Up @@ -339,9 +299,7 @@
"cell_type": "code",
"execution_count": null,
"id": "f49506c2-6c72-449e-9197-542f50d14678",
"metadata": {
"tags": []
},
"metadata": {},
"outputs": [],
"source": [
"%%bash\n",
Expand All @@ -359,9 +317,7 @@
{
"cell_type": "markdown",
"id": "2cda9c8c-d2d0-4380-b332-4ff1a644ea51",
"metadata": {
"tags": []
},
"metadata": {},
"source": [
"## Paths, Where Is Your Data Stored?\n",
"-------------------\n",
Expand All @@ -383,9 +339,7 @@
"cell_type": "code",
"execution_count": null,
"id": "f4dc07da-3f1f-4c3e-bc97-b61c25451c72",
"metadata": {
"tags": []
},
"metadata": {},
"outputs": [],
"source": [
"%%bash\n",
Expand All @@ -410,9 +364,7 @@
{
"cell_type": "markdown",
"id": "e71c89cd-0c6a-4da2-915c-46ec1f975ae6",
"metadata": {
"tags": []
},
"metadata": {},
"source": [
"You can see that we are in the `jupyter` directory and this directory is inside a directory called `home`. \n",
"\n",
Expand All @@ -423,9 +375,7 @@
"cell_type": "code",
"execution_count": null,
"id": "e520676d-3e75-4d54-b488-2944e5478b1f",
"metadata": {
"tags": []
},
"metadata": {},
"outputs": [],
"source": [
"%%bash\n",
Expand Down Expand Up @@ -548,33 +498,10 @@
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": null,
"id": "bfccc937-62e7-48c8-9745-1e03236f3e2c",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" <iframe\n",
" width=\"600\"\n",
" height=\"250\"\n",
" src=\"quiz_files/quiz1-3.html\"\n",
" frameborder=\"0\"\n",
" allowfullscreen\n",
" \n",
" ></iframe>\n",
" "
],
"text/plain": [
"<IPython.lib.display.IFrame at 0x226ced5a3c0>"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"outputs": [],
"source": [
"# FLASHCARD\n",
"from IPython.display import IFrame\n",
Expand All @@ -584,9 +511,7 @@
{
"cell_type": "markdown",
"id": "3ae4b9a0-4eff-427e-bc7e-a292dc42f76d",
"metadata": {
"tags": []
},
"metadata": {},
"source": [
"## File Naming Considerations\n",
"---------\n",
Expand Down Expand Up @@ -665,31 +590,7 @@
]
}
],
"metadata": {
"environment": {
"kernel": "python3",
"name": "common-cpu.m104",
"type": "gcloud",
"uri": "gcr.io/deeplearning-platform-release/base-cpu:m104"
},
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.4"
}
},
"metadata": {},
"nbformat": 4,
"nbformat_minor": 5
}
42 changes: 4 additions & 38 deletions AWS/submodule02_Intro_to_cloud_computing.ipynb
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Expand Up @@ -3,13 +3,7 @@
{
"cell_type": "markdown",
"id": "40ee29a5-94d5-4a06-9e45-40f95df8a650",
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"metadata": {},
"source": [
"# Cloud computing\n",
"\n",
Expand Down Expand Up @@ -113,9 +107,7 @@
{
"cell_type": "markdown",
"id": "415ae2bc-59f1-4a01-afc1-cc4b1c9f3f4c",
"metadata": {
"tags": []
},
"metadata": {},
"source": [
"## Amazon S3 Buckets, One Option for Long Term Data Storage\n",
"--------\n",
Expand Down Expand Up @@ -152,9 +144,7 @@
"cell_type": "code",
"execution_count": null,
"id": "ffcb317d-d2b7-4d11-b08c-da6840ef24f0",
"metadata": {
"tags": []
},
"metadata": {},
"outputs": [],
"source": [
"%%bash\n",
Expand All @@ -165,31 +155,7 @@
]
}
],
"metadata": {
"environment": {
"kernel": "python3",
"name": "common-cpu.m104",
"type": "aws",
"uri": "amazonaws.com"
},
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.4"
}
},
"metadata": {},
"nbformat": 4,
"nbformat_minor": 5
}
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