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Minor Typos in Notebook 002 #1

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2b559a5
Created using Colab
Haniiko1 May 13, 2026
09a8a53
Created using Colab
Haniiko1 May 14, 2026
3a5a1cb
Merge branch 'codeBMB:main' into main
Haniiko1 May 14, 2026
625442f
Add files via upload
Haniiko1 May 14, 2026
3cf87d0
Merge branch 'main' into main
wallynovak May 14, 2026
fbfabdc
Merge branch 'codeBMB:main' into main
Haniiko1 May 21, 2026
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298 changes: 274 additions & 24 deletions 001_Intro_to_Google_Colab.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -7,7 +7,7 @@
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/github/codeBMB/May26_codeBMB/blob/main/001_Intro_to_Google_Colab.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
"<a href=\"https://colab.research.google.com/github/Haniiko1/May26_codeBMB/blob/main/001_Intro_to_Google_Colab.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
Expand Down Expand Up @@ -142,7 +142,7 @@
"metadata": {
"id": "J7GcI9U44huY"
},
"execution_count": null,
"execution_count": 1,
"outputs": []
},
{
Expand Down Expand Up @@ -230,10 +230,23 @@
"print(\"Great job running a cell! ✅\")"
],
"metadata": {
"id": "Px9VIbGK07CH"
"id": "Px9VIbGK07CH",
"outputId": "df95a79a-b90f-4b03-f5f8-417fecc0788d",
"colab": {
"base_uri": "https://localhost:8080/"
}
},
"execution_count": null,
"outputs": []
"execution_count": 3,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"You ran this cell at: 06:17 PM on May 13, 2026\n",
"Great job running a cell! ✅\n"
]
}
]
},
{
"cell_type": "markdown",
Expand Down Expand Up @@ -274,10 +287,23 @@
"print(emoji.emojize(\"Python is :snake: awesome! :party_popper:\"))"
],
"metadata": {
"id": "9iDrRng61Y0u"
"id": "9iDrRng61Y0u",
"outputId": "506684c5-705d-4281-fff6-f671933cc6dd",
"colab": {
"base_uri": "https://localhost:8080/"
}
},
"execution_count": null,
"outputs": []
"execution_count": 4,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/608.4 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[91m━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m276.5/608.4 kB\u001b[0m \u001b[31m8.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m608.4/608.4 kB\u001b[0m \u001b[31m10.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hPython is 🐍 awesome! 🎉\n"
]
}
]
},
{
"cell_type": "markdown",
Expand All @@ -295,14 +321,28 @@
"source": [
"# Copy and modify the code below with new emoji codes:\n",
"print(emoji.emojize(\"I write code on a :desktop_computer:\"))\n",
"print(emoji.emojize(\"Hello :T-Rex:\"))\n",
"\n",
"# now you try!\n"
],
"metadata": {
"id": "DJH31lML1eY-"
"id": "DJH31lML1eY-",
"outputId": "d77f0a90-864c-4c39-c145-1b8828da9ca5",
"colab": {
"base_uri": "https://localhost:8080/"
}
},
"execution_count": null,
"outputs": []
"execution_count": 5,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"I write code on a 🖥️\n",
"Hello 🦖\n"
]
}
]
},
{
"cell_type": "markdown",
Expand Down Expand Up @@ -344,10 +384,10 @@
"# Good commenting practice in Python\n",
"# Add comments describing what is happening in each step. You can run the code if it helps.\n",
"\n",
"\n",
"# Declaring a list of values\n",
"temperatures_celsius = [0, 20, 37, 100]\n",
"\n",
"\n",
"# Converting celcius to fahrenheit\n",
"temperatures_fahrenheit = [(c * 9/5) + 32 for c in temperatures_celsius]\n",
"\n",
"print(\"Celsius → Fahrenheit\")\n",
Expand Down Expand Up @@ -411,10 +451,25 @@
"print(\"Your Drive files are accessible at: /content/drive/MyDrive/\")"
],
"metadata": {
"id": "cd8KMFZDifpo"
"id": "cd8KMFZDifpo",
"outputId": "39ddf55b-3036-4201-93e6-91b7f8834816",
"colab": {
"base_uri": "https://localhost:8080/"
}
},
"execution_count": null,
"outputs": []
"execution_count": 6,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Mounted at /content/drive\n",
"\n",
"✅ Google Drive mounted successfully!\n",
"Your Drive files are accessible at: /content/drive/MyDrive/\n"
]
}
]
},
{
"cell_type": "markdown",
Expand Down Expand Up @@ -449,10 +504,33 @@
" print(\"Drive not mounted yet. Run the cell above first!\")"
],
"metadata": {
"id": "LFkR7D2Si6a5"
"id": "LFkR7D2Si6a5",
"outputId": "394647c2-4f4d-4b24-9e44-507cb599172a",
"colab": {
"base_uri": "https://localhost:8080/"
}
},
"execution_count": null,
"outputs": []
"execution_count": 7,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Contents of your Google Drive (11 items):\n",
" • Summer Reading 2025 - Cubed The Puzzle of Us All.gdoc\n",
" • Prototyping presentation.gslides\n",
" • Why Terminus is the best zombie map.gslides\n",
" • Untitled document (6).gdoc\n",
" • Untitled document (5).gdoc\n",
" • Untitled document (4).gdoc\n",
" • Untitled document (3).gdoc\n",
" • Untitled document (2).gdoc\n",
" • Untitled document (1).gdoc\n",
" • Untitled document.gdoc\n",
" ... and 1 more items\n"
]
}
]
},
{
"cell_type": "markdown",
Expand Down Expand Up @@ -498,10 +576,183 @@
"display(df.head())"
],
"metadata": {
"id": "VAgQmmUPjkYJ"
"id": "VAgQmmUPjkYJ",
"outputId": "1b68dcf4-329e-46ee-caec-f0293289877f",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 206
}
},
"execution_count": null,
"outputs": []
"execution_count": 8,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
" Concentration_mg_per_mL Rep1 Rep2 Rep3\n",
"0 0.0 -0.004 0.001 0.003\n",
"1 0.1 0.116 0.121 0.126\n",
"2 0.2 0.238 0.231 0.245\n",
"3 0.3 0.356 0.377 0.364\n",
"4 0.4 0.478 0.482 0.495"
],
"text/html": [
"\n",
" <div id=\"df-2902ce96-364b-4697-9dc4-cc5e1d70ac2f\" class=\"colab-df-container\">\n",
" <div>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Concentration_mg_per_mL</th>\n",
" <th>Rep1</th>\n",
" <th>Rep2</th>\n",
" <th>Rep3</th>\n",
" </tr>\n",
" </thead>\n",
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" <th>0</th>\n",
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" <th>1</th>\n",
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" <td>0.116</td>\n",
" <td>0.121</td>\n",
" <td>0.126</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>0.2</td>\n",
" <td>0.238</td>\n",
" <td>0.231</td>\n",
" <td>0.245</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>0.3</td>\n",
" <td>0.356</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>0.4</td>\n",
" <td>0.478</td>\n",
" <td>0.482</td>\n",
" <td>0.495</td>\n",
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"</div>\n",
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"\n",
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
" + ' to learn more about interactive tables.';\n",
" element.innerHTML = '';\n",
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],
"application/vnd.google.colaboratory.intrinsic+json": {
"type": "dataframe",
"summary": "{\n \"name\": \"display(df\",\n \"rows\": 5,\n \"fields\": [\n {\n \"column\": \"Concentration_mg_per_mL\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.15811388300841897,\n \"min\": 0.0,\n \"max\": 0.4,\n \"num_unique_values\": 5,\n \"samples\": [\n 0.1,\n 0.4,\n 0.2\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Rep1\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.1903712163117103,\n \"min\": -0.004,\n \"max\": 0.478,\n \"num_unique_values\": 5,\n \"samples\": [\n 0.116,\n 0.478,\n 0.238\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Rep2\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.19278692901750366,\n \"min\": 0.001,\n \"max\": 0.482,\n \"num_unique_values\": 5,\n \"samples\": [\n 0.121,\n 0.482,\n 0.231\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Rep3\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.19324414609503698,\n \"min\": 0.003,\n \"max\": 0.495,\n \"num_unique_values\": 5,\n \"samples\": [\n 0.126,\n 0.495,\n 0.245\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}"
}
},
"metadata": {}
}
]
},
{
"cell_type": "markdown",
Expand Down Expand Up @@ -560,7 +811,7 @@
"source": [
"#@title Tell Us About Yourself!\n",
"\n",
"your_name = \"Bea Embee\" #@param {type:\"string\"}\n",
"your_name = \"Hieu Nguyen\" #@param {type:\"string\"}\n",
"your_experience = \"Beginner\" #@param [\"Beginner\", \"Intermediate\", \"Advanced\"]\n",
"your_age = 25 #@param {type:\"integer\"}\n",
"enjoys_coding = True #@param {type:\"boolean\"}\n",
Expand All @@ -574,7 +825,6 @@
"print(f\"Welcome to Colab, {your_name}! You're going to do great things.\")"
],
"metadata": {
"cellView": "form",
"id": "mv2-87n2j46a"
},
"execution_count": null,
Expand Down
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