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Merge pull request #144 from coding-for-reproducible-research/website_refactor_automate_schedule
Website refactor automate schedule
2 parents ea37950 + f363f17 commit 2310a01

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‎cfrr_program_details/courses_overview.ipynb

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"cells": [
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{
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"cell_type": "markdown",
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"id": "e18ae98b-39e0-4d7b-bbf4-1114ffeef96c",
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"id": "02b9e8f5-82ed-460b-af25-9034e538b7b3",
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"metadata": {},
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"source": [
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"# Workshop Schedule and Signup\n",
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"# Workshop Schedule and Signup"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "d3aa7606-0f50-4f05-b104-ad4521c80406",
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"metadata": {
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"editable": true,
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"slideshow": {
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"slide_type": ""
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},
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"tags": [
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"remove-input"
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]
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},
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"outputs": [
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{
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"data": {
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"text/markdown": [
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"- Introduction to Python: 23rd/30th October 10am-1pm (online only) - [MS Form Signup](https://forms.office.com/Pages/ResponsePage.aspx?id=d10qkZj77k6vMhM02PBKU-3R4SvRoClNrKjEX5qG1X1UNDJFN1NaRlk0UkpLNjVDSTM2TlM0NlpPWS4u)\n",
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"- Introduction to R: 8th/15th/22nd October 1-4pm (online only) - [MS Form Signup](https://forms.office.com/Pages/ResponsePage.aspx?id=d10qkZj77k6vMhM02PBKU-3R4SvRoClNrKjEX5qG1X1UQjJCSzFWQjNVSldGRFhDUDNXVjdBQjNZSi4u)\n",
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"- Regression Analysis with R: 25th October 10am-1pm (online only) - [MS Form Signup](https://forms.office.com/Pages/ResponsePage.aspx?id=d10qkZj77k6vMhM02PBKU-3R4SvRoClNrKjEX5qG1X1UMU1KRUpEOFRJQjFEOVVUVzFDMTRQMFZLRi4u)"
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"import pandas as pd\n",
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"from IPython.display import Markdown, display\n",
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"from datetime import datetime\n",
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"\n",
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"# Load the CSV file (adjust the file path as needed)\n",
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"file_path = '../data/workshop_info.csv'\n",
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"courses_df = pd.read_csv(file_path)\n",
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"\n",
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"# Strip any extra spaces in the column names\n",
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"courses_df.columns = courses_df.columns.str.strip()\n",
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"\n",
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"# Convert the 'End Date' column to datetime (assuming the date format is day-first)\n",
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"courses_df['End Date'] = pd.to_datetime(courses_df['End Date'], dayfirst=True, errors='coerce')\n",
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"\n",
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"- Introduction to R: 8th/15th/22nd October 1-4pm (online only). [MS Form Signup](https://forms.office.com/Pages/ResponsePage.aspx?id=d10qkZj77k6vMhM02PBKU-3R4SvRoClNrKjEX5qG1X1UQjJCSzFWQjNVSldGRFhDUDNXVjdBQjNZSi4u)\n",
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"- Introduction to Python: 23rd/30th October 10am-1pm (online only) - [MS Form Signup](https://forms.office.com/Pages/ResponsePage.aspx?id=d10qkZj77k6vMhM02PBKU-3R4SvRoClNrKjEX5qG1X1UNDJFN1NaRlk0UkpLNjVDSTM2TlM0NlpPWS4u)\n",
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"- Regression Analysis with R: 25th October 10am-1pm (online only) - [MS Form Signup](https://forms.office.com/Pages/ResponsePage.aspx?id=d10qkZj77k6vMhM02PBKU-3R4SvRoClNrKjEX5qG1X1UMU1KRUpEOFRJQjFEOVVUVzFDMTRQMFZLRi4u)"
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"# Get today's date\n",
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"today = datetime.now()\n",
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"\n",
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"# Filter for rows that contain valid MS Form Signup links, Course Date information, and check if the 'End Date' is still valid\n",
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"filtered_courses_df = courses_df.dropna(subset=['Course Date', 'MS Form Signup'])\n",
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"filtered_courses_df = filtered_courses_df[filtered_courses_df['End Date'] > today]\n",
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"\n",
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"# Function to generate markdown text based on course details\n",
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"def generate_markdown(row):\n",
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" return f\"- {row['Course Name']}: {row['Course Date']} - [MS Form Signup]({row['MS Form Signup']})\"\n",
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"\n",
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"# Apply the function and create the markdown output\n",
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"markdown_output = filtered_courses_df.apply(generate_markdown, axis=1).tolist()\n",
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"\n",
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"# Join the markdown lines into a single block\n",
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"markdown_text = \"\\n\".join(markdown_output)\n",
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"\n",
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"# Display the markdown text in rendered form\n",
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"display(Markdown(markdown_text))"
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]
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},
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{
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"cell_type": "markdown",
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"id": "7101f2f7-2903-4cdc-b736-3f5000c467f7",
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"metadata": {
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"editable": true,
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"slideshow": {
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"slide_type": ""
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},
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"tags": []
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},
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"source": [
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"# Previous Workshops"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"id": "0a814add-f545-4663-8b06-39c40b636509",
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"metadata": {
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"editable": true,
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"slideshow": {
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"slide_type": ""
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},
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"tags": [
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"remove-input"
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]
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},
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"outputs": [
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{
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"data": {
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"text/markdown": [
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"<div align='center'>\n",
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"\n",
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"| Course Name | Course Info | Course Leader | Course Helpers | Course Developers |\n",
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"| --- | --- | --- | --- | --- |\n",
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"| Introduction to Python | 23rd/30th October 10am-1pm (online) | Tom Wilson | Liam Berrisford | Michael Saunby, Simon Kirby, Duncan McDougall, Eilis Hannon |\n",
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"\n",
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"</div>"
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"import pandas as pd\n",
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"from IPython.display import display, HTML\n",
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"\n",
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"# Load the CSV file (adjust the file path as needed)\n",
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"file_path_previous = '../data/previous_workshops.csv'\n",
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"previous_courses_df = pd.read_csv(file_path_previous)\n",
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"\n",
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"# Strip any extra spaces in the column names\n",
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"previous_courses_df.columns = previous_courses_df.columns.str.strip()\n",
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"\n",
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"# Function to generate an HTML table row for each course\n",
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"def generate_html_row(row):\n",
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" return f\"<tr><td>{row['Course Name']}</td><td>{row['Course Info']}</td><td>{row['Course Leader']}</td><td>{row['Course Helpers']}</td><td>{row['Course Developers']}</td></tr>\"\n",
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"\n",
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"# Generate HTML table header\n",
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"html_table_header = \"\"\"\n",
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"<table style='width: 100%; text-align: center; border: 1px solid black; border-collapse: collapse;'>\n",
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"<tr>\n",
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"<th>Course Name</th>\n",
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"<th>Course Info</th>\n",
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"<th>Course Leader</th>\n",
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"<th>Course Helpers</th>\n",
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"<th>Course Developers</th>\n",
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"</tr>\n",
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"\"\"\"\n",
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"\n",
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"# Apply the function and create the HTML table rows\n",
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"table_rows = previous_courses_df.apply(generate_html_row, axis=1).tolist()\n",
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"\n",
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"# Join the table rows into a single block\n",
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"html_table = html_table_header + \"\\n\".join(table_rows) + \"</table>\"\n",
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"\n",
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"# Display the HTML table\n",
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"display(HTML(html_table))\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "9f182a12-b6bf-4a95-b4c4-92c08951d8a1",
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"metadata": {},
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"id": "2b3dc21f-a316-4357-8e4a-9c83c3703fd0",
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"metadata": {
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"editable": true,
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"slideshow": {
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"slide_type": ""
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},
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"tags": []
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},
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"outputs": [],
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"source": []
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}

‎data/accepting_applications.csv

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‎data/previous_workshops.csv

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Course Name,Course Info,Course Leader ,Course Helpers,Course Developers
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Introduction to Python,23rd/30th October 10am-1pm (online),Tom Wilson ,Liam Berrisford,"Michael Saunby, Simon Kirby, Duncan McDougall, Eilis Hannon"

‎data/workshop_info.csv

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Course Name,Start Date,End Date ,Course Date,MS Form Signup
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Introduction to Python,18/09/2024,16/10/2024,23rd/30th October 10am-1pm (online only),https://forms.office.com/Pages/ResponsePage.aspx?id=d10qkZj77k6vMhM02PBKU-3R4SvRoClNrKjEX5qG1X1UNDJFN1NaRlk0UkpLNjVDSTM2TlM0NlpPWS4u
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Python for Data Analysis,,,,
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Introduction to R,18/09/2024,01/10/2024,8th/15th/22nd October 1-4pm (online only),https://forms.office.com/Pages/ResponsePage.aspx?id=d10qkZj77k6vMhM02PBKU-3R4SvRoClNrKjEX5qG1X1UQjJCSzFWQjNVSldGRFhDUDNXVjdBQjNZSi4u
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Regression Analysis with R,18/09/2024,18/10/2024,25th October 10am-1pm (online only),https://forms.office.com/Pages/ResponsePage.aspx?id=d10qkZj77k6vMhM02PBKU-3R4SvRoClNrKjEX5qG1X1UMU1KRUpEOFRJQjFEOVVUVzFDMTRQMFZLRi4u
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Advanced Regression Analysis with R,,,,
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Working with Data in R,,,,
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Introduction to HPC,,,,
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Introduction to Version Control,,,,
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Intermediate Version Control,,,,
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Introduction to Unix,,,,
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Computational Thinking,,,,
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Software Development Best Practice,,,,
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Introduction to Julia,,,,

‎programme_information/advanced_regression_analysis_with_r.ipynb

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"course_name = \"Advanced Regression Analysis with R\"\n",
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"\n",
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"# Load the CSV file\n",
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"file_path = '../data/accepting_applications.csv' # Adjust the path to your file location\n",
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"file_path = '../data/workshop_info.csv' # Adjust the path to your file location\n",
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"courses_df = pd.read_csv(file_path)\n",
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"\n",
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"# Strip any extra spaces in the column names\n",

‎programme_information/computational_thinking.ipynb

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"course_name = \"Computational Thinking\"\n",
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"\n",
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"# Load the CSV file\n",
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"file_path = '../data/accepting_applications.csv' # Adjust the path to your file location\n",
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"file_path = '../data/workshop_info.csv' # Adjust the path to your file location\n",
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"courses_df = pd.read_csv(file_path)\n",
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"\n",
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"# Strip any extra spaces in the column names\n",

‎programme_information/intermediate_version_control.ipynb

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"course_name = \"Intermediate Version Control\"\n",
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"\n",
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"# Load the CSV file\n",
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"file_path = '../data/accepting_applications.csv' # Adjust the path to your file location\n",
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"file_path = '../data/workshop_info.csv' # Adjust the path to your file location\n",
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"courses_df = pd.read_csv(file_path)\n",
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"\n",
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"# Strip any extra spaces in the column names\n",

‎programme_information/intro_to_hpc.ipynb

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"course_name = \"Introduction to HPC\"\n",
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"\n",
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"# Load the CSV file\n",
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"file_path = '../data/accepting_applications.csv' # Adjust the path to your file location\n",
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"file_path = '../data/workshop_info.csv' # Adjust the path to your file location\n",
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"courses_df = pd.read_csv(file_path)\n",
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"\n",
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"# Strip any extra spaces in the column names\n",

‎programme_information/intro_to_julia.ipynb

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"course_name = \"Introduction to Julia\"\n",
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"\n",
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"# Load the CSV file\n",
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"file_path = '../data/accepting_applications.csv' # Adjust the path to your file location\n",
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"file_path = '../data/workshop_info.csv' # Adjust the path to your file location\n",
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"courses_df = pd.read_csv(file_path)\n",
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"\n",
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"# Strip any extra spaces in the column names\n",

‎programme_information/intro_to_python.ipynb

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"course_name = \"Introduction to Python\"\n",
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"# Load the CSV file\n",
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"file_path = '../data/accepting_applications.csv' # Adjust the path to your file location\n",
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"file_path = '../data/workshop_info.csv' # Adjust the path to your file location\n",
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"courses_df = pd.read_csv(file_path)\n",
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"\n",
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"# Strip any extra spaces in the column names\n",

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