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EgyTech Participants Data (2024)

This project utilizes a public dataset provided by EgyTech by scraping its API, showcasing data and statistics on participants in the tech industry. This dataset offers valuable insights into various aspects of tech professionals, including job titles, experience levels, compensation, and more.

Dataset Description

We can unlock the power of data analysis with this dataset, which provides a rich array of information on tech professionals. The data is sourced from EgyTech’s API, enabling users to explore detailed insights into the tech industry landscape.

Columns Description:

  1. Timestamp (string): Date and time of data entry
  2. Gender (string): Gender of the participant
  3. Degree (string): Indicates if the participant holds a degree in Computer Science (Yes/No)
  4. BusinessMarket (string): Indicates the scope of the business market (Global/Regional/Local)
  5. Title (string): Job title of the participant
  6. ProgrammingLanguages (string): Programming languages known by the participant
  7. BusinessSize (string): Size of the participant’s business (Large/Medium/Small)
  8. Yoe (number): Years of experience of the participant
  9. YoeBuckets (string): Range of years of experience (e.g., “5-8” indicating 5 to 8 years)
  10. BusinessFocus (string): Focus of the participant’s business (Product/Software House)
  11. TotalCompensationEgp (number): Total compensation in Egyptian pounds
  12. BusinessLine (string): Line of business (B2B/B2C/Both)
  13. TotalCompensationEgpBuckets (string): Range of total compensation in Egyptian pounds (e.g., “40-50K” indicating 40,000 to 50,000 EGP)
  14. Industries (string): Industries associated with the participant’s business
  15. WorkSetting (string): Setting of work (e.g., Hybrid)
  16. Level (string): Level of the participant’s job (e.g., Mid-level)
  17. IsEgp (string): Indicates if the compensation is in Egyptian pounds (Yes/No)
  18. CompanyLocation (string): Location of the participant’s company (e.g., Cairo)

Usage Ideas

  • Explore job title distributions and trends in the tech industry.
  • Analyze the relationship between experience levels and compensation packages.
  • Identify popular programming languages and technologies among tech professionals.
  • Investigate regional variations in tech industry demographics and job opportunities.

How to Use the Code

Prerequisites

Ensure you have the following Python libraries installed:

  • requests
  • pandas

You can install these libraries using pip:

pip install requests pandas

Fetching and Analyzing the Data

The provided Python script fetches data from the EgyTech API, processes it, and displays it in a styled DataFrame. Follow these steps:

  1. Clone the Repository
git clone https://github.com/Mohammed-abdulaziz-eisa/egytech_data_scraper.git
  1. Run the Script
cd egytech_data_scraper
cd src
python3 scraper.py

📜 License

This project is licensed under the MIT License. See the LICENSE file for details.

About

Public dataset provided by EgyTech through API scraping.​

Topics

apidatasetegyptegyptian-programmerspandaspython3requeststech-industry

Resources

Readme
Activity

Stars

1 star

Watchers

1 watching

Forks

0 forks
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, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
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(function() {
function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;
codeBlock.parentElement.setAttribute('data-copy-added', 'true');
var btn = document.createElement('button');
btn.textContent = 'Copy';
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;';
btn.onmouseover = function() { this.style.opacity = '1'; };
btn.onmouseout = function() { this.style.opacity = '0.7'; };
btn.onclick = function() {
navigator.clipboard.writeText(codeBlock.textContent).then(function() {
btn.textContent = 'Copied!';
setTimeout(function() { btn.textContent = 'Copy'; }, 1500);
});
};
codeBlock.parentElement.style.position = 'relative';
codeBlock.parentElement.appendChild(btn);
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addCopyButtons();
// Re-run on dynamic content
var observer = new MutationObserver(addCopyButtons);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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EgyTech Participants Data (2024)
This project utilizes a public dataset provided by EgyTech by scraping its API, showcasing data and statistics on participants in the tech industry. This dataset offers valuable insights into various aspects of tech professionals, including job titles, experience levels, compensation, and more.
Dataset Description
We can unlock the power of data analysis with this dataset, which provides a rich array of information on tech professionals. The data is sourced from EgyTech’s API, enabling users to explore detailed insights into the tech industry landscape.
Columns Description:
  1. Timestamp (string): Date and time of data entry
  2. Gender (string): Gender of the participant
  3. Degree (string): Indicates if the participant holds a degree in Computer Science (Yes/No)
  4. BusinessMarket (string): Indicates the scope of the business market (Global/Regional/Local)
  5. Title (string): Job title of the participant
  6. ProgrammingLanguages (string): Programming languages known by the participant
  7. BusinessSize (string): Size of the participant’s business (Large/Medium/Small)
  8. Yoe (number): Years of experience of the participant
  9. YoeBuckets (string): Range of years of experience (e.g., “5-8” indicating 5 to 8 years)
  10. BusinessFocus (string): Focus of the participant’s business (Product/Software House)
  11. TotalCompensationEgp (number): Total compensation in Egyptian pounds
  12. BusinessLine (string): Line of business (B2B/B2C/Both)
  13. TotalCompensationEgpBuckets (string): Range of total compensation in Egyptian pounds (e.g., “40-50K” indicating 40,000 to 50,000 EGP)
  14. Industries (string): Industries associated with the participant’s business
  15. WorkSetting (string): Setting of work (e.g., Hybrid)
  16. Level (string): Level of the participant’s job (e.g., Mid-level)
  17. IsEgp (string): Indicates if the compensation is in Egyptian pounds (Yes/No)
  18. CompanyLocation (string): Location of the participant’s company (e.g., Cairo)
Usage Ideas
  • Explore job title distributions and trends in the tech industry.
  • Analyze the relationship between experience levels and compensation packages.
  • Identify popular programming languages and technologies among tech professionals.
  • Investigate regional variations in tech industry demographics and job opportunities.
How to Use the Code
Prerequisites
Ensure you have the following Python libraries installed:
  • requests
  • pandas
You can install these libraries using pip:
pip install requests pandas
Fetching and Analyzing the Data
The provided Python script fetches data from the EgyTech API, processes it, and displays it in a styled DataFrame. Follow these steps:
  1. Clone the Repository
git clone https://github.com/Mohammed-abdulaziz-eisa/egytech_data_scraper.git
  1. Run the Script
cd egytech_data_scraper
cd src
python3 scraper.py
📜 License
This project is licensed under the MIT License. See the LICENSE file for details.
About
Public dataset provided by EgyTech through API scraping.​
Topics
apidatasetegyptegyptian-programmerspandaspython3requeststech-industry
Resources
Readme
Activity
Stars
1 star
Watchers
1 watching
Forks
0 forks
Report repository
Releases
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Contributors
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Force GitHub README to respect dark mode
(function() {
var style = document.createElement('style');
style.textContent = '
.markdown-body {
color-scheme: dark light;
}
.markdown-body pre { background: #161b22 !important; }
.markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }
.markdown-body table th, .markdown-body table td { border-color: #30363d !important; }
.markdown-body img { background: #0d1117; }
.markdown-body blockquote { border-left-color: #8b949e; }
.markdown-body hr { border-color: #30363d; }
';
document.head.appendChild(style);
})();
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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EgyTech Participants Data (2024)
This project utilizes a public dataset provided by EgyTech by scraping its API, showcasing data and statistics on participants in the tech industry. This dataset offers valuable insights into various aspects of tech professionals, including job titles, experience levels, compensation, and more.
Dataset Description
We can unlock the power of data analysis with this dataset, which provides a rich array of information on tech professionals. The data is sourced from EgyTech’s API, enabling users to explore detailed insights into the tech industry landscape.
Columns Description:
  1. Timestamp (string): Date and time of data entry
  2. Gender (string): Gender of the participant
  3. Degree (string): Indicates if the participant holds a degree in Computer Science (Yes/No)
  4. BusinessMarket (string): Indicates the scope of the business market (Global/Regional/Local)
  5. Title (string): Job title of the participant
  6. ProgrammingLanguages (string): Programming languages known by the participant
  7. BusinessSize (string): Size of the participant’s business (Large/Medium/Small)
  8. Yoe (number): Years of experience of the participant
  9. YoeBuckets (string): Range of years of experience (e.g., “5-8” indicating 5 to 8 years)
  10. BusinessFocus (string): Focus of the participant’s business (Product/Software House)
  11. TotalCompensationEgp (number): Total compensation in Egyptian pounds
  12. BusinessLine (string): Line of business (B2B/B2C/Both)
  13. TotalCompensationEgpBuckets (string): Range of total compensation in Egyptian pounds (e.g., “40-50K” indicating 40,000 to 50,000 EGP)
  14. Industries (string): Industries associated with the participant’s business
  15. WorkSetting (string): Setting of work (e.g., Hybrid)
  16. Level (string): Level of the participant’s job (e.g., Mid-level)
  17. IsEgp (string): Indicates if the compensation is in Egyptian pounds (Yes/No)
  18. CompanyLocation (string): Location of the participant’s company (e.g., Cairo)
Usage Ideas
  • Explore job title distributions and trends in the tech industry.
  • Analyze the relationship between experience levels and compensation packages.
  • Identify popular programming languages and technologies among tech professionals.
  • Investigate regional variations in tech industry demographics and job opportunities.
How to Use the Code
Prerequisites
Ensure you have the following Python libraries installed:
  • requests
  • pandas
You can install these libraries using pip:
pip install requests pandas
Fetching and Analyzing the Data
The provided Python script fetches data from the EgyTech API, processes it, and displays it in a styled DataFrame. Follow these steps:
  1. Clone the Repository
git clone https://github.com/Mohammed-abdulaziz-eisa/egytech_data_scraper.git
  1. Run the Script
cd egytech_data_scraper
cd src
python3 scraper.py
📜 License
This project is licensed under the MIT License. See the LICENSE file for details.
About
Public dataset provided by EgyTech through API scraping.​
Topics
apidatasetegyptegyptian-programmerspandaspython3requeststech-industry
Resources
Readme
Activity
Stars
1 star
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

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

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Repository files navigation
EgyTech Participants Data (2024)
This project utilizes a public dataset provided by EgyTech by scraping its API, showcasing data and statistics on participants in the tech industry. This dataset offers valuable insights into various aspects of tech professionals, including job titles, experience levels, compensation, and more.
Dataset Description
We can unlock the power of data analysis with this dataset, which provides a rich array of information on tech professionals. The data is sourced from EgyTech’s API, enabling users to explore detailed insights into the tech industry landscape.
Columns Description:
  1. Timestamp (string): Date and time of data entry
  2. Gender (string): Gender of the participant
  3. Degree (string): Indicates if the participant holds a degree in Computer Science (Yes/No)
  4. BusinessMarket (string): Indicates the scope of the business market (Global/Regional/Local)
  5. Title (string): Job title of the participant
  6. ProgrammingLanguages (string): Programming languages known by the participant
  7. BusinessSize (string): Size of the participant’s business (Large/Medium/Small)
  8. Yoe (number): Years of experience of the participant
  9. YoeBuckets (string): Range of years of experience (e.g., “5-8” indicating 5 to 8 years)
  10. BusinessFocus (string): Focus of the participant’s business (Product/Software House)
  11. TotalCompensationEgp (number): Total compensation in Egyptian pounds
  12. BusinessLine (string): Line of business (B2B/B2C/Both)
  13. TotalCompensationEgpBuckets (string): Range of total compensation in Egyptian pounds (e.g., “40-50K” indicating 40,000 to 50,000 EGP)
  14. Industries (string): Industries associated with the participant’s business
  15. WorkSetting (string): Setting of work (e.g., Hybrid)
  16. Level (string): Level of the participant’s job (e.g., Mid-level)
  17. IsEgp (string): Indicates if the compensation is in Egyptian pounds (Yes/No)
  18. CompanyLocation (string): Location of the participant’s company (e.g., Cairo)
Usage Ideas
  • Explore job title distributions and trends in the tech industry.
  • Analyze the relationship between experience levels and compensation packages.
  • Identify popular programming languages and technologies among tech professionals.
  • Investigate regional variations in tech industry demographics and job opportunities.
How to Use the Code
Prerequisites
Ensure you have the following Python libraries installed:
  • requests
  • pandas
You can install these libraries using pip:
pip install requests pandas
Fetching and Analyzing the Data
The provided Python script fetches data from the EgyTech API, processes it, and displays it in a styled DataFrame. Follow these steps:
  1. Clone the Repository
git clone https://github.com/Mohammed-abdulaziz-eisa/egytech_data_scraper.git
  1. Run the Script
cd egytech_data_scraper
cd src
python3 scraper.py
📜 License
This project is licensed under the MIT License. See the LICENSE file for details.
About
Public dataset provided by EgyTech through API scraping.​
Topics
apidatasetegyptegyptian-programmerspandaspython3requeststech-industry
Resources
Readme
Activity
Stars
1 star
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
(function() {
var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
function cleanUrl(url) {
try {
var u = new URL(url, window.location.origin);
var changed = false;
trackingParams.forEach(function(p) {
if (u.searchParams.has(p)) {
u.searchParams.delete(p);
changed = true;
}
});
return changed ? u.toString() : url;
} catch (e) {
return url;
}
}
function cleanLinks() {
document.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
cleanLinks();
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1) {
if (node.tagName === 'A') cleanLinks();
node.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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EgyTech Participants Data (2024)
This project utilizes a public dataset provided by EgyTech by scraping its API, showcasing data and statistics on participants in the tech industry. This dataset offers valuable insights into various aspects of tech professionals, including job titles, experience levels, compensation, and more.
Dataset Description
We can unlock the power of data analysis with this dataset, which provides a rich array of information on tech professionals. The data is sourced from EgyTech’s API, enabling users to explore detailed insights into the tech industry landscape.
Columns Description:
  1. Timestamp (string): Date and time of data entry
  2. Gender (string): Gender of the participant
  3. Degree (string): Indicates if the participant holds a degree in Computer Science (Yes/No)
  4. BusinessMarket (string): Indicates the scope of the business market (Global/Regional/Local)
  5. Title (string): Job title of the participant
  6. ProgrammingLanguages (string): Programming languages known by the participant
  7. BusinessSize (string): Size of the participant’s business (Large/Medium/Small)
  8. Yoe (number): Years of experience of the participant
  9. YoeBuckets (string): Range of years of experience (e.g., “5-8” indicating 5 to 8 years)
  10. BusinessFocus (string): Focus of the participant’s business (Product/Software House)
  11. TotalCompensationEgp (number): Total compensation in Egyptian pounds
  12. BusinessLine (string): Line of business (B2B/B2C/Both)
  13. TotalCompensationEgpBuckets (string): Range of total compensation in Egyptian pounds (e.g., “40-50K” indicating 40,000 to 50,000 EGP)
  14. Industries (string): Industries associated with the participant’s business
  15. WorkSetting (string): Setting of work (e.g., Hybrid)
  16. Level (string): Level of the participant’s job (e.g., Mid-level)
  17. IsEgp (string): Indicates if the compensation is in Egyptian pounds (Yes/No)
  18. CompanyLocation (string): Location of the participant’s company (e.g., Cairo)
Usage Ideas
  • Explore job title distributions and trends in the tech industry.
  • Analyze the relationship between experience levels and compensation packages.
  • Identify popular programming languages and technologies among tech professionals.
  • Investigate regional variations in tech industry demographics and job opportunities.
How to Use the Code
Prerequisites
Ensure you have the following Python libraries installed:
  • requests
  • pandas
You can install these libraries using pip:
pip install requests pandas
Fetching and Analyzing the Data
The provided Python script fetches data from the EgyTech API, processes it, and displays it in a styled DataFrame. Follow these steps:
  1. Clone the Repository
git clone https://github.com/Mohammed-abdulaziz-eisa/egytech_data_scraper.git
  1. Run the Script
cd egytech_data_scraper
cd src
python3 scraper.py
📜 License
This project is licensed under the MIT License. See the LICENSE file for details.
About
Public dataset provided by EgyTech through API scraping.​
Topics
apidatasetegyptegyptian-programmerspandaspython3requeststech-industry
Resources
Readme
Activity
Stars
1 star
Watchers
1 watching
Forks
0 forks
Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
(function() {
function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
if (btn && !btn.classList.contains('activated')) {
btn.click();
}
}
// Try immediately
tryTheater();
// Try after navigation (SPA)
var lastUrl = location.href;
setInterval(function() {
if (location.href !== lastUrl) {
lastUrl = location.href;
setTimeout(tryTheater, 500);
}
}, 1000);
// Also try on player load
var observer = new MutationObserver(tryTheater);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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EgyTech Participants Data (2024)
This project utilizes a public dataset provided by EgyTech by scraping its API, showcasing data and statistics on participants in the tech industry. This dataset offers valuable insights into various aspects of tech professionals, including job titles, experience levels, compensation, and more.
Dataset Description
We can unlock the power of data analysis with this dataset, which provides a rich array of information on tech professionals. The data is sourced from EgyTech’s API, enabling users to explore detailed insights into the tech industry landscape.
Columns Description:
  1. Timestamp (string): Date and time of data entry
  2. Gender (string): Gender of the participant
  3. Degree (string): Indicates if the participant holds a degree in Computer Science (Yes/No)
  4. BusinessMarket (string): Indicates the scope of the business market (Global/Regional/Local)
  5. Title (string): Job title of the participant
  6. ProgrammingLanguages (string): Programming languages known by the participant
  7. BusinessSize (string): Size of the participant’s business (Large/Medium/Small)
  8. Yoe (number): Years of experience of the participant
  9. YoeBuckets (string): Range of years of experience (e.g., “5-8” indicating 5 to 8 years)
  10. BusinessFocus (string): Focus of the participant’s business (Product/Software House)
  11. TotalCompensationEgp (number): Total compensation in Egyptian pounds
  12. BusinessLine (string): Line of business (B2B/B2C/Both)
  13. TotalCompensationEgpBuckets (string): Range of total compensation in Egyptian pounds (e.g., “40-50K” indicating 40,000 to 50,000 EGP)
  14. Industries (string): Industries associated with the participant’s business
  15. WorkSetting (string): Setting of work (e.g., Hybrid)
  16. Level (string): Level of the participant’s job (e.g., Mid-level)
  17. IsEgp (string): Indicates if the compensation is in Egyptian pounds (Yes/No)
  18. CompanyLocation (string): Location of the participant’s company (e.g., Cairo)
Usage Ideas
  • Explore job title distributions and trends in the tech industry.
  • Analyze the relationship between experience levels and compensation packages.
  • Identify popular programming languages and technologies among tech professionals.
  • Investigate regional variations in tech industry demographics and job opportunities.
How to Use the Code
Prerequisites
Ensure you have the following Python libraries installed:
  • requests
  • pandas
You can install these libraries using pip:
pip install requests pandas
Fetching and Analyzing the Data
The provided Python script fetches data from the EgyTech API, processes it, and displays it in a styled DataFrame. Follow these steps:
  1. Clone the Repository
git clone https://github.com/Mohammed-abdulaziz-eisa/egytech_data_scraper.git
  1. Run the Script
cd egytech_data_scraper
cd src
python3 scraper.py
📜 License
This project is licensed under the MIT License. See the LICENSE file for details.
About
Public dataset provided by EgyTech through API scraping.​
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apidatasetegyptegyptian-programmerspandaspython3requeststech-industry
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
(function() {
function unstick() {
document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) {
if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {
el.style.position = 'static';
el.style.top = 'auto';
el.style.zIndex = 'auto';
}
});
}
unstick();
var observer = new MutationObserver(unstick);
observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
})();
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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EgyTech Participants Data (2024)
This project utilizes a public dataset provided by EgyTech by scraping its API, showcasing data and statistics on participants in the tech industry. This dataset offers valuable insights into various aspects of tech professionals, including job titles, experience levels, compensation, and more.
Dataset Description
We can unlock the power of data analysis with this dataset, which provides a rich array of information on tech professionals. The data is sourced from EgyTech’s API, enabling users to explore detailed insights into the tech industry landscape.
Columns Description:
  1. Timestamp (string): Date and time of data entry
  2. Gender (string): Gender of the participant
  3. Degree (string): Indicates if the participant holds a degree in Computer Science (Yes/No)
  4. BusinessMarket (string): Indicates the scope of the business market (Global/Regional/Local)
  5. Title (string): Job title of the participant
  6. ProgrammingLanguages (string): Programming languages known by the participant
  7. BusinessSize (string): Size of the participant’s business (Large/Medium/Small)
  8. Yoe (number): Years of experience of the participant
  9. YoeBuckets (string): Range of years of experience (e.g., “5-8” indicating 5 to 8 years)
  10. BusinessFocus (string): Focus of the participant’s business (Product/Software House)
  11. TotalCompensationEgp (number): Total compensation in Egyptian pounds
  12. BusinessLine (string): Line of business (B2B/B2C/Both)
  13. TotalCompensationEgpBuckets (string): Range of total compensation in Egyptian pounds (e.g., “40-50K” indicating 40,000 to 50,000 EGP)
  14. Industries (string): Industries associated with the participant’s business
  15. WorkSetting (string): Setting of work (e.g., Hybrid)
  16. Level (string): Level of the participant’s job (e.g., Mid-level)
  17. IsEgp (string): Indicates if the compensation is in Egyptian pounds (Yes/No)
  18. CompanyLocation (string): Location of the participant’s company (e.g., Cairo)
Usage Ideas
  • Explore job title distributions and trends in the tech industry.
  • Analyze the relationship between experience levels and compensation packages.
  • Identify popular programming languages and technologies among tech professionals.
  • Investigate regional variations in tech industry demographics and job opportunities.
How to Use the Code
Prerequisites
Ensure you have the following Python libraries installed:
  • requests
  • pandas
You can install these libraries using pip:
pip install requests pandas
Fetching and Analyzing the Data
The provided Python script fetches data from the EgyTech API, processes it, and displays it in a styled DataFrame. Follow these steps:
  1. Clone the Repository
git clone https://github.com/Mohammed-abdulaziz-eisa/egytech_data_scraper.git
  1. Run the Script
cd egytech_data_scraper
cd src
python3 scraper.py
📜 License
This project is licensed under the MIT License. See the LICENSE file for details.
About
Public dataset provided by EgyTech through API scraping.​
Topics
apidatasetegyptegyptian-programmerspandaspython3requeststech-industry
Resources
Readme
Activity
Stars
1 star
Watchers
1 watching
Forks
0 forks
Report repository
Releases
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Contributors
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
(function() {
var enabled = true;
function applyDarkMode() {
if (!enabled) return;
// Create style element if it doesn't exist
var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
// Dark mode CSS - inverts colors but preserves images/video
style.textContent = '
/* Invert everything except media */
html {
filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
}
/* Restore images, videos, iframes, canvas */
img, video, iframe, canvas, svg, picture, [style*="background-image"] {
filter: invert(1) hue-rotate(180deg) !important;
}
/* Preserve specific elements that should not be inverted */
.no-dark-mode, .no-dark-mode *,
[data-theme="light"], [data-theme="light"],
.ace_editor, .ace_editor *,
.CodeMirror, .CodeMirror *,
.monaco-editor, .monaco-editor *,
.markdown-body pre, .markdown-body pre *,
.highlight, .highlight *,
pre code, pre code * {
filter: none !important;
}
/* Fix common UI elements */
.modal, .popup, .dropdown-menu, .tooltip, .popover {
filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
border-color: #444 !important;
}
/* Scrollbars */
::-webkit-scrollbar { background: #1a1a2e !important; }
::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
/* Selection */
::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
';
}
function removeDarkMode() {
var style = document.getElementById('universal-dark-mode-style');
if (style) style.remove();
}
// Toggle with Alt+Shift+D
document.addEventListener('keydown', function(e) {
if (e.altKey && e.shiftKey && e.key === 'D') {
e.preventDefault();
enabled = !enabled;
if (enabled) {
applyDarkMode();
console.log('[Universal Dark Mode] Enabled');
} else {
removeDarkMode();
console.log('[Universal Dark Mode] Disabled');
}
}
});
// Apply on load
applyDarkMode();
// Re-apply on dynamic content
var observer = new MutationObserver(function(mutations) {
if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
}
});
observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
BranchesTags
Latest commit
History
3 Commits
Folders and files
NameName
Last commit message
Last commit date
api
api
data
data
src
src
.DS_Store
.DS_Store
.gitignore
.gitignore
README.md
README.md
Repository files navigation
EgyTech Participants Data (2024)
This project utilizes a public dataset provided by EgyTech by scraping its API, showcasing data and statistics on participants in the tech industry. This dataset offers valuable insights into various aspects of tech professionals, including job titles, experience levels, compensation, and more.
Dataset Description
We can unlock the power of data analysis with this dataset, which provides a rich array of information on tech professionals. The data is sourced from EgyTech’s API, enabling users to explore detailed insights into the tech industry landscape.
Columns Description:
  1. Timestamp (string): Date and time of data entry
  2. Gender (string): Gender of the participant
  3. Degree (string): Indicates if the participant holds a degree in Computer Science (Yes/No)
  4. BusinessMarket (string): Indicates the scope of the business market (Global/Regional/Local)
  5. Title (string): Job title of the participant
  6. ProgrammingLanguages (string): Programming languages known by the participant
  7. BusinessSize (string): Size of the participant’s business (Large/Medium/Small)
  8. Yoe (number): Years of experience of the participant
  9. YoeBuckets (string): Range of years of experience (e.g., “5-8” indicating 5 to 8 years)
  10. BusinessFocus (string): Focus of the participant’s business (Product/Software House)
  11. TotalCompensationEgp (number): Total compensation in Egyptian pounds
  12. BusinessLine (string): Line of business (B2B/B2C/Both)
  13. TotalCompensationEgpBuckets (string): Range of total compensation in Egyptian pounds (e.g., “40-50K” indicating 40,000 to 50,000 EGP)
  14. Industries (string): Industries associated with the participant’s business
  15. WorkSetting (string): Setting of work (e.g., Hybrid)
  16. Level (string): Level of the participant’s job (e.g., Mid-level)
  17. IsEgp (string): Indicates if the compensation is in Egyptian pounds (Yes/No)
  18. CompanyLocation (string): Location of the participant’s company (e.g., Cairo)
Usage Ideas
  • Explore job title distributions and trends in the tech industry.
  • Analyze the relationship between experience levels and compensation packages.
  • Identify popular programming languages and technologies among tech professionals.
  • Investigate regional variations in tech industry demographics and job opportunities.
How to Use the Code
Prerequisites
Ensure you have the following Python libraries installed:
  • requests
  • pandas
You can install these libraries using pip:
pip install requests pandas
Fetching and Analyzing the Data
The provided Python script fetches data from the EgyTech API, processes it, and displays it in a styled DataFrame. Follow these steps:
  1. Clone the Repository
git clone https://github.com/Mohammed-abdulaziz-eisa/egytech_data_scraper.git
  1. Run the Script
cd egytech_data_scraper
cd src
python3 scraper.py
📜 License
This project is licensed under the MIT License. See the LICENSE file for details.
About
Public dataset provided by EgyTech through API scraping.​
Topics
apidatasetegyptegyptian-programmerspandaspython3requeststech-industry
Resources
Readme
Activity
Stars
1 star
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages