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Mission Dotlas 🌎

📆 Summer 2024

Python versioncontributions welcomeLicense

AnacondaJupyterPandas

⚠️Warning

Applicants will be disqualified if they make a public fork of this repository. Create a private fork instead.

Overview

About us

At Dotlas, are building a platform for optimizing & growing retail businesses through AI-driven insights. We've been refining and revamping this assignment for a while now, and we're excited to see what you can do with it! Optionally view past assignments, along with stats in the archives

The Mission

Your mission, should you choose to accept it, is to transform, process and analyze our dataset of Restaurants in The State of California, USA.

Restaurants in San Francisco, according to their Dress Code, height indicates count

We've uploaded our dataset to an interactive map on Foursquare Studio. Feel free to explore it.

Star Wars Map

Getting started

Create a Private fork

Let's create a private fork of this repository:

Install dependencies

python -m pip install -r requirements.txt

You may install any additional dependencies!

Get crackin'

Your mission's details are displayed in mission.ipynb.

Once the repository is created on GitHub, clone it onto your local system! You can solve the assignment from either your local system if you have Jupyter, Python and other dependencies - else you can use Google Colab by uploading the notebook, working on it there and then downloading the notebook back from Colab for your submission.

Refer to HELP.md for some resources to help you get acquainted with the tools you will need.

Evaluation

Submission

Once you're ready for evaluation, invite us as private collaborators to your private fork!

You can invite the following github handles to review your assignment. Ensure to add all handles as collaborators:

Criteria

Submissions will be judged on:

  • Methodology & approach to the solution
  • Readability & maintainability of code (Use of "best practices") by adhering to the Pythonic way

Submission Guidelines

  • Do not create additional branches on your private repository with the submission. Keep all changes on the main branch.
  • Add your answers to the same jupyter notebook file.
  • Do not delete markdown sections of the jupyter notebook. Feel free to add as many sections for documentation or otherwise as you need but don't delete sections already present.

Students copying

May the Force be with you!

About

🥁 An engaging data science & engineering assessment

Topics

california-datadata-engineeringdata-scienceinterview-questionspandaspydantic-modelspython39restaurants-listingsweb-harvesting

Resources

Readme
BSD-3-Clause license

Contributing

Contributing
Activity
Custom properties

Stars

6 stars

Watchers

2 watching

Forks

7 forks
Report repository

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
BranchesTags
Repository files navigation
Mission Dotlas 🌎
📆 Summer 2024
Python versioncontributions welcomeLicense
AnacondaJupyterPandas
⚠️Warning
Applicants will be disqualified if they make a public fork of this repository.
Create a private fork instead.
Overview
About us
At Dotlas, are building a platform for optimizing & growing retail businesses through AI-driven insights. We've been refining and revamping this assignment for a while now, and we're excited to see what you can do with it! Optionally view past assignments, along with stats in the archives
The Mission
Your mission, should you choose to accept it, is to transform, process and analyze our dataset of Restaurants in The State of California, USA.
Restaurants in San Francisco, according to their Dress Code, height indicates count
We've uploaded our dataset to an
interactive map
on Foursquare Studio. Feel free to explore it.

Star Wars Map
Getting started
Create a Private fork
Let's create a private fork of this repository:
Install dependencies
python -m pip install -r requirements.txt
You may install any additional dependencies!
Get crackin'
Your mission's details are displayed in mission.ipynb.
Once the repository is created on GitHub, clone it onto your local system! You can solve the assignment from either your local system if you have Jupyter, Python and other dependencies - else you can use Google Colab by uploading the notebook, working on it there and then downloading the notebook back from Colab for your submission.
Refer to HELP.md for some resources to help you get acquainted with the tools you will need.
Evaluation
Submission
Once you're ready for evaluation, invite us as private collaborators to your private fork!
You can invite the following github handles to review your assignment. Ensure to add all handles as collaborators:
Criteria
Submissions will be judged on:
  • Methodology & approach to the solution
  • Readability & maintainability of code (Use of "best practices") by adhering to the Pythonic way
Submission Guidelines
  • Do not create additional branches on your private repository with the submission. Keep all changes on the main branch.
  • Add your answers to the same jupyter notebook file.
  • Do not delete markdown sections of the jupyter notebook. Feel free to add as many sections for documentation or otherwise as you need but don't delete sections already present.
Students copying
May the Force be with you!
About
🥁 An engaging data science & engineering assessment
Topics
california-datadata-engineeringdata-scienceinterview-questionspandaspydantic-modelspython39restaurants-listingsweb-harvesting
Resources
Readme
BSD-3-Clause license
Contributing
Contributing
Activity
Custom properties
Stars
6 stars
Watchers
2 watching
Forks
7 forks
Report repository
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Mission Dotlas 🌎
📆 Summer 2024
Python versioncontributions welcomeLicense
AnacondaJupyterPandas
⚠️Warning
Applicants will be disqualified if they make a public fork of this repository.
Create a private fork instead.
Overview
About us
At Dotlas, are building a platform for optimizing & growing retail businesses through AI-driven insights. We've been refining and revamping this assignment for a while now, and we're excited to see what you can do with it! Optionally view past assignments, along with stats in the archives
The Mission
Your mission, should you choose to accept it, is to transform, process and analyze our dataset of Restaurants in The State of California, USA.
Restaurants in San Francisco, according to their Dress Code, height indicates count
We've uploaded our dataset to an
interactive map
on Foursquare Studio. Feel free to explore it.

Star Wars Map
Getting started
Create a Private fork
Let's create a private fork of this repository:
Install dependencies
python -m pip install -r requirements.txt
You may install any additional dependencies!
Get crackin'
Your mission's details are displayed in mission.ipynb.
Once the repository is created on GitHub, clone it onto your local system! You can solve the assignment from either your local system if you have Jupyter, Python and other dependencies - else you can use Google Colab by uploading the notebook, working on it there and then downloading the notebook back from Colab for your submission.
Refer to HELP.md for some resources to help you get acquainted with the tools you will need.
Evaluation
Submission
Once you're ready for evaluation, invite us as private collaborators to your private fork!
You can invite the following github handles to review your assignment. Ensure to add all handles as collaborators:
Criteria
Submissions will be judged on:
  • Methodology & approach to the solution
  • Readability & maintainability of code (Use of "best practices") by adhering to the Pythonic way
Submission Guidelines
  • Do not create additional branches on your private repository with the submission. Keep all changes on the main branch.
  • Add your answers to the same jupyter notebook file.
  • Do not delete markdown sections of the jupyter notebook. Feel free to add as many sections for documentation or otherwise as you need but don't delete sections already present.
Students copying
May the Force be with you!
About
🥁 An engaging data science & engineering assessment
Topics
california-datadata-engineeringdata-scienceinterview-questionspandaspydantic-modelspython39restaurants-listingsweb-harvesting
Resources
Readme
BSD-3-Clause license
Contributing
Contributing
Activity
Custom properties
Stars
6 stars
Watchers
2 watching
Forks
7 forks
Report repository
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Mission Dotlas 🌎
📆 Summer 2024
Python versioncontributions welcomeLicense
AnacondaJupyterPandas
⚠️Warning
Applicants will be disqualified if they make a public fork of this repository.
Create a private fork instead.
Overview
About us
At Dotlas, are building a platform for optimizing & growing retail businesses through AI-driven insights. We've been refining and revamping this assignment for a while now, and we're excited to see what you can do with it! Optionally view past assignments, along with stats in the archives
The Mission
Your mission, should you choose to accept it, is to transform, process and analyze our dataset of Restaurants in The State of California, USA.
Restaurants in San Francisco, according to their Dress Code, height indicates count
We've uploaded our dataset to an
interactive map
on Foursquare Studio. Feel free to explore it.

Star Wars Map
Getting started
Create a Private fork
Let's create a private fork of this repository:
Install dependencies
python -m pip install -r requirements.txt
You may install any additional dependencies!
Get crackin'
Your mission's details are displayed in mission.ipynb.
Once the repository is created on GitHub, clone it onto your local system! You can solve the assignment from either your local system if you have Jupyter, Python and other dependencies - else you can use Google Colab by uploading the notebook, working on it there and then downloading the notebook back from Colab for your submission.
Refer to HELP.md for some resources to help you get acquainted with the tools you will need.
Evaluation
Submission
Once you're ready for evaluation, invite us as private collaborators to your private fork!
You can invite the following github handles to review your assignment. Ensure to add all handles as collaborators:
Criteria
Submissions will be judged on:
  • Methodology & approach to the solution
  • Readability & maintainability of code (Use of "best practices") by adhering to the Pythonic way
Submission Guidelines
  • Do not create additional branches on your private repository with the submission. Keep all changes on the main branch.
  • Add your answers to the same jupyter notebook file.
  • Do not delete markdown sections of the jupyter notebook. Feel free to add as many sections for documentation or otherwise as you need but don't delete sections already present.
Students copying
May the Force be with you!
About
🥁 An engaging data science & engineering assessment
Topics
california-datadata-engineeringdata-scienceinterview-questionspandaspydantic-modelspython39restaurants-listingsweb-harvesting
Resources
Readme
BSD-3-Clause license
Contributing
Contributing
Activity
Custom properties
Stars
6 stars
Watchers
2 watching
Forks
7 forks
Report repository
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
BranchesTags
Repository files navigation
Mission Dotlas 🌎
📆 Summer 2024
Python versioncontributions welcomeLicense
AnacondaJupyterPandas
⚠️Warning
Applicants will be disqualified if they make a public fork of this repository.
Create a private fork instead.
Overview
About us
At Dotlas, are building a platform for optimizing & growing retail businesses through AI-driven insights. We've been refining and revamping this assignment for a while now, and we're excited to see what you can do with it! Optionally view past assignments, along with stats in the archives
The Mission
Your mission, should you choose to accept it, is to transform, process and analyze our dataset of Restaurants in The State of California, USA.
Restaurants in San Francisco, according to their Dress Code, height indicates count
We've uploaded our dataset to an
interactive map
on Foursquare Studio. Feel free to explore it.

Star Wars Map
Getting started
Create a Private fork
Let's create a private fork of this repository:
Install dependencies
python -m pip install -r requirements.txt
You may install any additional dependencies!
Get crackin'
Your mission's details are displayed in mission.ipynb.
Once the repository is created on GitHub, clone it onto your local system! You can solve the assignment from either your local system if you have Jupyter, Python and other dependencies - else you can use Google Colab by uploading the notebook, working on it there and then downloading the notebook back from Colab for your submission.
Refer to HELP.md for some resources to help you get acquainted with the tools you will need.
Evaluation
Submission
Once you're ready for evaluation, invite us as private collaborators to your private fork!
You can invite the following github handles to review your assignment. Ensure to add all handles as collaborators:
Criteria
Submissions will be judged on:
  • Methodology & approach to the solution
  • Readability & maintainability of code (Use of "best practices") by adhering to the Pythonic way
Submission Guidelines
  • Do not create additional branches on your private repository with the submission. Keep all changes on the main branch.
  • Add your answers to the same jupyter notebook file.
  • Do not delete markdown sections of the jupyter notebook. Feel free to add as many sections for documentation or otherwise as you need but don't delete sections already present.
Students copying
May the Force be with you!
About
🥁 An engaging data science & engineering assessment
Topics
california-datadata-engineeringdata-scienceinterview-questionspandaspydantic-modelspython39restaurants-listingsweb-harvesting
Resources
Readme
BSD-3-Clause license
Contributing
Contributing
Activity
Custom properties
Stars
6 stars
Watchers
2 watching
Forks
7 forks
Report repository
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Mission Dotlas 🌎
📆 Summer 2024
Python versioncontributions welcomeLicense
AnacondaJupyterPandas
⚠️Warning
Applicants will be disqualified if they make a public fork of this repository.
Create a private fork instead.
Overview
About us
At Dotlas, are building a platform for optimizing & growing retail businesses through AI-driven insights. We've been refining and revamping this assignment for a while now, and we're excited to see what you can do with it! Optionally view past assignments, along with stats in the archives
The Mission
Your mission, should you choose to accept it, is to transform, process and analyze our dataset of Restaurants in The State of California, USA.
Restaurants in San Francisco, according to their Dress Code, height indicates count
We've uploaded our dataset to an
interactive map
on Foursquare Studio. Feel free to explore it.

Star Wars Map
Getting started
Create a Private fork
Let's create a private fork of this repository:
Install dependencies
python -m pip install -r requirements.txt
You may install any additional dependencies!
Get crackin'
Your mission's details are displayed in mission.ipynb.
Once the repository is created on GitHub, clone it onto your local system! You can solve the assignment from either your local system if you have Jupyter, Python and other dependencies - else you can use Google Colab by uploading the notebook, working on it there and then downloading the notebook back from Colab for your submission.
Refer to HELP.md for some resources to help you get acquainted with the tools you will need.
Evaluation
Submission
Once you're ready for evaluation, invite us as private collaborators to your private fork!
You can invite the following github handles to review your assignment. Ensure to add all handles as collaborators:
Criteria
Submissions will be judged on:
  • Methodology & approach to the solution
  • Readability & maintainability of code (Use of "best practices") by adhering to the Pythonic way
Submission Guidelines
  • Do not create additional branches on your private repository with the submission. Keep all changes on the main branch.
  • Add your answers to the same jupyter notebook file.
  • Do not delete markdown sections of the jupyter notebook. Feel free to add as many sections for documentation or otherwise as you need but don't delete sections already present.
Students copying
May the Force be with you!
About
🥁 An engaging data science & engineering assessment
Topics
california-datadata-engineeringdata-scienceinterview-questionspandaspydantic-modelspython39restaurants-listingsweb-harvesting
Resources
Readme
BSD-3-Clause license
Contributing
Contributing
Activity
Custom properties
Stars
6 stars
Watchers
2 watching
Forks
7 forks
Report repository
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Mission Dotlas 🌎
📆 Summer 2024
Python versioncontributions welcomeLicense
AnacondaJupyterPandas
⚠️Warning
Applicants will be disqualified if they make a public fork of this repository.
Create a private fork instead.
Overview
About us
At Dotlas, are building a platform for optimizing & growing retail businesses through AI-driven insights. We've been refining and revamping this assignment for a while now, and we're excited to see what you can do with it! Optionally view past assignments, along with stats in the archives
The Mission
Your mission, should you choose to accept it, is to transform, process and analyze our dataset of Restaurants in The State of California, USA.
Restaurants in San Francisco, according to their Dress Code, height indicates count
We've uploaded our dataset to an
interactive map
on Foursquare Studio. Feel free to explore it.

Star Wars Map
Getting started
Create a Private fork
Let's create a private fork of this repository:
Install dependencies
python -m pip install -r requirements.txt
You may install any additional dependencies!
Get crackin'
Your mission's details are displayed in mission.ipynb.
Once the repository is created on GitHub, clone it onto your local system! You can solve the assignment from either your local system if you have Jupyter, Python and other dependencies - else you can use Google Colab by uploading the notebook, working on it there and then downloading the notebook back from Colab for your submission.
Refer to HELP.md for some resources to help you get acquainted with the tools you will need.
Evaluation
Submission
Once you're ready for evaluation, invite us as private collaborators to your private fork!
You can invite the following github handles to review your assignment. Ensure to add all handles as collaborators:
Criteria
Submissions will be judged on:
  • Methodology & approach to the solution
  • Readability & maintainability of code (Use of "best practices") by adhering to the Pythonic way
Submission Guidelines
  • Do not create additional branches on your private repository with the submission. Keep all changes on the main branch.
  • Add your answers to the same jupyter notebook file.
  • Do not delete markdown sections of the jupyter notebook. Feel free to add as many sections for documentation or otherwise as you need but don't delete sections already present.
Students copying
May the Force be with you!
About
🥁 An engaging data science & engineering assessment
Topics
california-datadata-engineeringdata-scienceinterview-questionspandaspydantic-modelspython39restaurants-listingsweb-harvesting
Resources
Readme
BSD-3-Clause license
Contributing
Contributing
Activity
Custom properties
Stars
6 stars
Watchers
2 watching
Forks
7 forks
Report repository
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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Mission Dotlas 🌎
📆 Summer 2024
Python versioncontributions welcomeLicense
AnacondaJupyterPandas
⚠️Warning
Applicants will be disqualified if they make a public fork of this repository.
Create a private fork instead.
Overview
About us
At Dotlas, are building a platform for optimizing & growing retail businesses through AI-driven insights. We've been refining and revamping this assignment for a while now, and we're excited to see what you can do with it! Optionally view past assignments, along with stats in the archives
The Mission
Your mission, should you choose to accept it, is to transform, process and analyze our dataset of Restaurants in The State of California, USA.
Restaurants in San Francisco, according to their Dress Code, height indicates count
We've uploaded our dataset to an
interactive map
on Foursquare Studio. Feel free to explore it.

Star Wars Map
Getting started
Create a Private fork
Let's create a private fork of this repository:
Install dependencies
python -m pip install -r requirements.txt
You may install any additional dependencies!
Get crackin'
Your mission's details are displayed in mission.ipynb.
Once the repository is created on GitHub, clone it onto your local system! You can solve the assignment from either your local system if you have Jupyter, Python and other dependencies - else you can use Google Colab by uploading the notebook, working on it there and then downloading the notebook back from Colab for your submission.
Refer to HELP.md for some resources to help you get acquainted with the tools you will need.
Evaluation
Submission
Once you're ready for evaluation, invite us as private collaborators to your private fork!
You can invite the following github handles to review your assignment. Ensure to add all handles as collaborators:
Criteria
Submissions will be judged on:
  • Methodology & approach to the solution
  • Readability & maintainability of code (Use of "best practices") by adhering to the Pythonic way
Submission Guidelines
  • Do not create additional branches on your private repository with the submission. Keep all changes on the main branch.
  • Add your answers to the same jupyter notebook file.
  • Do not delete markdown sections of the jupyter notebook. Feel free to add as many sections for documentation or otherwise as you need but don't delete sections already present.
Students copying
May the Force be with you!
About
🥁 An engaging data science & engineering assessment
Topics
california-datadata-engineeringdata-scienceinterview-questionspandaspydantic-modelspython39restaurants-listingsweb-harvesting
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