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Elijah Rwothoromo
2025-08-05 21:33:35 +03:00
parent df046d1780
commit a9572a9557
3 changed files with 44 additions and 301 deletions
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155
week1/Guide to Jupyter.ipynb
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@@ -32,21 +32,10 @@
},
{
"cell_type": "code",
"execution_count": 1,
"execution_count": null,
"id": "33d37cd8-55c9-4e03-868c-34aa9cab2c80",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"4"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"outputs": [],
"source": [
"# Click anywhere in this cell and press Shift + Return\n",
"\n",
@@ -65,7 +54,7 @@
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": null,
"id": "585eb9c1-85ee-4c27-8dc2-b4d8d022eda0",
"metadata": {},
"outputs": [],
@@ -77,21 +66,10 @@
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": null,
"id": "07792faa-761d-46cb-b9b7-2bbf70bb1628",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'bananas'"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"outputs": [],
"source": [
"# The result of the last statement is shown after you run it\n",
"\n",
@@ -100,18 +78,10 @@
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": null,
"id": "a067d2b1-53d5-4aeb-8a3c-574d39ff654a",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"My favorite fruit is bananas\n"
]
}
],
"outputs": [],
"source": [
"# Use the variable\n",
"\n",
@@ -120,7 +90,7 @@
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": null,
"id": "4c5a4e60-b7f4-4953-9e80-6d84ba4664ad",
"metadata": {},
"outputs": [],
@@ -146,18 +116,10 @@
},
{
"cell_type": "code",
"execution_count": 6,
"execution_count": null,
"id": "8e5ec81d-7c5b-4025-bd2e-468d67b581b6",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"My favorite fruit is anything but bananas\n"
]
}
],
"outputs": [],
"source": [
"# Then run this cell twice, and see if you understand what's going on\n",
"\n",
@@ -182,18 +144,10 @@
},
{
"cell_type": "code",
"execution_count": 7,
"id": "ce258424-40c3-49a7-9462-e6fa25014b03",
"execution_count": null,
"id": "84b1e410-5eda-4e2c-97ce-4eebcff816c5",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"My favorite fruit is apples\n"
]
}
],
"outputs": [],
"source": [
"print(f\"My favorite fruit is {favorite_fruit}\")"
]
@@ -211,12 +165,10 @@
{
"cell_type": "code",
"execution_count": null,
"id": "84b1e410-5eda-4e2c-97ce-4eebcff816c5",
"id": "ce258424-40c3-49a7-9462-e6fa25014b03",
"metadata": {},
"outputs": [],
"source": [
"print(f\"My favorite fruit is {favorite_fruit} - ok\")"
]
"source": []
},
{
"cell_type": "markdown",
@@ -269,25 +221,10 @@
"Click in the cell and press the Bin icon if you want to remove it."
]
},
{
"cell_type": "markdown",
"id": "b3b2d1ff-5d2c-47a9-9c1b-90a0cfb89dd9",
"metadata": {},
"source": [
"# This is a heading\n",
"## This is a sub-head\n",
"### And a sub-sub-head\n",
"\n",
"I like Jupyter Lab because it's\n",
"- Easy\n",
"- Flexible\n",
"- Satisfying"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "a365b651-3a34-40ed-8def-df1e6a484b43",
"id": "e1586320-c90f-4f22-8b39-df6865484950",
"metadata": {},
"outputs": [],
"source": []
@@ -308,21 +245,10 @@
},
{
"cell_type": "code",
"execution_count": 1,
"id": "b1b303d9-ce47-4cee-85e9-6416abca7d21",
"execution_count": null,
"id": "82042fc5-a907-4381-a4b8-eb9386df19cd",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Guide to Jupyter.ipynb day2 EXERCISE.ipynb troubleshooting.ipynb\n",
"Intermediate Python.ipynb day5.ipynb week1 EXERCISE.ipynb\n",
"\u001b[34mcommunity-contributions\u001b[m\u001b[m diagnostics.py\n",
"day1.ipynb \u001b[34msolutions\u001b[m\u001b[m\n"
]
}
],
"outputs": [],
"source": [
"# list the current directory\n",
"\n",
@@ -332,13 +258,13 @@
{
"cell_type": "code",
"execution_count": null,
"id": "18685382-3768-4e00-817b-cc69dd1fb531",
"id": "4fc3e3da-8a55-40cc-9706-48bf12a0e20e",
"metadata": {},
"outputs": [],
"source": [
"# ping a website\n",
"# ping cnn.com - press the stop button in the toolbar when you're bored\n",
"\n",
"!ping google.com"
"!ping cnn.com"
]
},
{
@@ -369,7 +295,7 @@
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": null,
"id": "2646a4e5-3c23-4aee-a34d-d623815187d2",
"metadata": {},
"outputs": [],
@@ -387,18 +313,10 @@
},
{
"cell_type": "code",
"execution_count": 1,
"execution_count": null,
"id": "6e96be3d-fa82-42a3-a8aa-b81dd20563a5",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|███████████████████████████████████████| 1000/1000 [00:11<00:00, 86.00it/s]\n"
]
}
],
"outputs": [],
"source": [
"# And now, with a nice little progress bar:\n",
"\n",
@@ -413,27 +331,10 @@
},
{
"cell_type": "code",
"execution_count": 7,
"execution_count": null,
"id": "63c788dd-4618-4bb4-a5ce-204411a38ade",
"metadata": {},
"outputs": [
{
"data": {
"text/markdown": [
"# This is a big heading!\n",
"\n",
"- And this is a bullet-point\n",
"- So is this\n",
"- Me, too!"
],
"text/plain": [
"<IPython.core.display.Markdown object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"outputs": [],
"source": [
"# On a different topic, here's a useful way to print output in markdown\n",
"\n",
@@ -471,7 +372,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.13.5"
"version": "3.11.11"
}
},
"nbformat": 4,

189
week1/troubleshooting.ipynb
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@@ -40,18 +40,10 @@
},
{
"cell_type": "code",
"execution_count": 1,
"execution_count": null,
"id": "d296f9b6-8de4-44db-b5f5-9b653dfd3d81",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Connected to the internet and can reach Google\n"
]
}
],
"outputs": [],
"source": [
"import urllib.request\n",
"\n",
@@ -109,20 +101,10 @@
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": null,
"id": "7c8c0bb3-0e94-466e-8d1a-4dfbaa014cbe",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Virtualenv is active:\n",
"Environment Path: /Users/elijahsmac/Desktop/code/llm/llm_engineering/llms\n",
"Environment Name: llms\n"
]
}
],
"outputs": [],
"source": [
"# Some quick checks that your Conda environment or VirtualEnv is as expected\n",
"# The Environment Name should be: llms\n",
@@ -182,22 +164,10 @@
},
{
"cell_type": "code",
"execution_count": 8,
"execution_count": null,
"id": "6c78b7d9-1eea-412d-8751-3de20c0f6e2f",
"metadata": {},
"outputs": [
{
"ename": "ModuleNotFoundError",
"evalue": "No module named 'openai'",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[0;32mIn[8], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# This import should work if your environment is active and dependencies are installed!\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mopenai\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m OpenAI\n",
"\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'openai'"
]
}
],
"outputs": [],
"source": [
"# This import should work if your environment is active and dependencies are installed!\n",
"\n",
@@ -231,19 +201,10 @@
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": null,
"id": "caa4837e-b970-4f89-aa9a-8aa793c754fd",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
".env file found.\n",
"SUCCESS! OPENAI_API_KEY found and it has the right prefix\n"
]
}
],
"outputs": [],
"source": [
"from pathlib import Path\n",
"\n",
@@ -293,18 +254,10 @@
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": null,
"id": "ab9ea6ef-49ee-4899-a1c7-75a8bd9ac36b",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"There is already a .env file - if you want me to create a new one, change the variable overwrite_if_already_exists to True above\n"
]
}
],
"outputs": [],
"source": [
"# Only run this code in this cell if you want to have a .env file created for you!\n",
"\n",
@@ -418,22 +371,10 @@
},
{
"cell_type": "code",
"execution_count": 9,
"execution_count": null,
"id": "cccb58e7-6626-4033-9dc1-e7e3ff742f6b",
"metadata": {},
"outputs": [
{
"ename": "ModuleNotFoundError",
"evalue": "No module named 'openai'",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[0;32mIn[9], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mopenai\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m OpenAI\n\u001b[1;32m 2\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mdotenv\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m load_dotenv\n\u001b[1;32m 3\u001b[0m load_dotenv(override\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n",
"\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'openai'"
]
}
],
"outputs": [],
"source": [
"from openai import OpenAI\n",
"from dotenv import load_dotenv\n",
@@ -522,110 +463,10 @@
},
{
"cell_type": "code",
"execution_count": 11,
"execution_count": null,
"id": "248204f0-7bad-482a-b715-fb06a3553916",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Starting diagnostics at 2025-08-02 23:16:47\n",
"\n",
"===== System Information =====\n",
"Operating System: Darwin\n",
"MacOS Version: 10.16\n",
"Architecture: ('64bit', 'Mach-O')\n",
"Machine: x86_64\n",
"Processor: i386\n",
"Total RAM: 16.00 GB\n",
"Available RAM: 6.04 GB\n",
"Free Disk Space: 315.94 GB\n",
"\n",
"===== File System Information =====\n",
"Current Directory: /Users/elijahsmac/Desktop/code/llm/llm_engineering/week1\n",
"Write permission: OK\n",
"\n",
"Files in Current Directory:\n",
" - .ipynb_checkpoints\n",
" - Guide to Jupyter.ipynb\n",
" - Intermediate Python.ipynb\n",
" - __pycache__\n",
" - community-contributions\n",
" - day1.ipynb\n",
" - day2 EXERCISE.ipynb\n",
" - day5.ipynb\n",
" - diagnostics.py\n",
" - report.txt\n",
" - solutions\n",
" - troubleshooting.ipynb\n",
" - week1 EXERCISE.ipynb\n",
"\n",
"===== Git Repository Information =====\n",
"Git Repository Root: /Users/elijahsmac/Desktop/code/llm/llm_engineering\n",
"Current Commit: 3a042500d7db3c0e8cde89f836a60e6cd7ab9ba1\n",
"Remote Origin: git@github.com:ed-donner/llm_engineering.git\n",
"\n",
"===== Environment File Check =====\n",
".env file exists at: /Users/elijahsmac/Desktop/code/llm/llm_engineering/.env\n",
"OPENAI_API_KEY found in .env file\n",
"\n",
"===== Anaconda Environment Check =====\n",
"No active Anaconda environment detected\n",
"\n",
"===== Virtualenv Check =====\n",
"Virtualenv is active:\n",
"Environment Path: /Users/elijahsmac/Desktop/code/llm/llm_engineering/llms\n",
"Environment Name: llms\n",
"\n",
"Python Environment:\n",
"Python Version: 3.13.5 | packaged by Anaconda, Inc. | (main, Jun 12 2025, 11:09:21) [Clang 14.0.6 ]\n",
"Python Executable: /Users/elijahsmac/anaconda3/bin/python\n",
"\n",
"Required Package Versions:\n",
"ERROR: Required package 'openai' is not installed\n",
"python-dotenv: 1.1.0\n",
"requests: 2.32.3\n",
"ERROR: Required package 'gradio' is not installed\n",
"ERROR: Required package 'transformers' is not installed\n",
"\n",
"===== Network Connectivity Check =====\n",
"SSL Version: OpenSSL 3.0.16 11 Feb 2025\n",
"ERROR: Required packages are not installed. Please install them using 'pip install requests speedtest-cli'\n",
"\n",
"===== Environment Variables Check =====\n",
"\n",
"PYTHONPATH is not set.\n",
"\n",
"Python sys.path:\n",
" - /Users/elijahsmac/anaconda3/lib/python313.zip\n",
" - /Users/elijahsmac/anaconda3/lib/python3.13\n",
" - /Users/elijahsmac/anaconda3/lib/python3.13/lib-dynload\n",
" - \n",
" - /Users/elijahsmac/anaconda3/lib/python3.13/site-packages\n",
" - /Users/elijahsmac/anaconda3/lib/python3.13/site-packages/aeosa\n",
" - /Users/elijahsmac/anaconda3/lib/python3.13/site-packages/setuptools/_vendor\n",
"OPENAI_API_KEY is set after calling load_dotenv()\n",
"\n",
"===== Additional Diagnostics =====\n",
"Temp directory is writable: /var/folders/_1/d6xg9lvd4lb714ry78xpc10w0000gn/T\n",
"\n",
"===== Errors Found =====\n",
"The following critical issues were detected. Please address them before proceeding:\n",
"- Required package 'openai' is not installed\n",
"- Required package 'gradio' is not installed\n",
"- Required package 'transformers' is not installed\n",
"- Required packages are not installed. Please install them using 'pip install requests speedtest-cli'\n",
"\n",
"\n",
"Completed diagnostics at 2025-08-02 23:16:47\n",
"\n",
"\n",
"Please send these diagnostics to me at ed@edwarddonner.com\n",
"Either copy & paste the above output into an email, or attach the file report.txt that has been created in this directory.\n"
]
}
],
"outputs": [],
"source": [
"# Run my diagnostics report to collect key information for debugging\n",
"# Please email me the results. Either copy & paste the output, or attach the file report.txt\n",
@@ -660,7 +501,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.7"
"version": "3.11.11"
}
},
"nbformat": 4,

1
week1/week1 EXERCISE.ipynb
View File

@@ -19,6 +19,7 @@
"outputs": [],
"source": [
"# imports\n",
"# Important Pull request ref: https://chatgpt.com/share/677a9cb5-c64c-8012-99e0-e06e88afd293\n",
"\n",
"import re, requests, ollama\n",
"from bs4 import BeautifulSoup\n",