🎯 Data Analyst vs Data Scientist — What’s the Difference?
Both roles work with data, but their goals are different:
🔹 Data Analyst
Focus: Analyzes existing data to find insights.
Tools: Excel, SQL, Power BI, Tableau.
Job: Turns data into reports and dashboards for decision-making.
🔹 Data Scientist
Focus: Builds models and predicts future trends.
Tools: Python, R, Machine Learning, AI.
Job: Creates data-driven solutions and automates insights.
💡 In short:
A Data Analyst explains what happened,
A Data Scientist predicts what will happen.
#TechWithHos #DataScience #DataAnalysis #TechCareer #AI
Both roles work with data, but their goals are different:
🔹 Data Analyst
Focus: Analyzes existing data to find insights.
Tools: Excel, SQL, Power BI, Tableau.
Job: Turns data into reports and dashboards for decision-making.
🔹 Data Scientist
Focus: Builds models and predicts future trends.
Tools: Python, R, Machine Learning, AI.
Job: Creates data-driven solutions and automates insights.
💡 In short:
A Data Analyst explains what happened,
A Data Scientist predicts what will happen.
#TechWithHos #DataScience #DataAnalysis #TechCareer #AI
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⚡ Today on TechWithHos: The Secret to Getting Better at Coding — Consistency
You don’t need to code for 10 hours a day.
You just need to code every day 🧠💻
💡 Here’s the truth:
1 hour daily > 10 hours once a week
Small daily progress compounds fast
Consistency builds confidence and mastery
Even if you’re tired, open your laptop and solve one small problem — that’s how real coders grow. 🚀
Keep showing up. Keep coding.
#TechWithHos #DeveloperJourney #CodingMotivation #Consistency #LearnToCode
You don’t need to code for 10 hours a day.
You just need to code every day 🧠💻
💡 Here’s the truth:
1 hour daily > 10 hours once a week
Small daily progress compounds fast
Consistency builds confidence and mastery
Even if you’re tired, open your laptop and solve one small problem — that’s how real coders grow. 🚀
Keep showing up. Keep coding.
#TechWithHos #DeveloperJourney #CodingMotivation #Consistency #LearnToCode
Forwarded from ELEVATE SKILL
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How tech companies measure the impact of AI on software development
Major tech companies like GitHub, Google, Dropbox, and Microsoft are measuring AI's impact on software development using a combination of traditional engineering metrics (change failure rate, PR throughput) and AI-specific metrics (time savings, adoption rates, customer satisfaction). The research reveals that 85% of engineers use AI tools at work, but measuring their true impact requires tracking both speed and quality metrics together. Companies are finding AI particularly effective for code migrations and grunt work, while being cautious about data security and long-term code maintainability. The measurement approach combines system data, periodic surveys, and experience sampling to get a complete picture of AI's effect on developer productivity.
#Tech@ethhostech #Ai #Git
Major tech companies like GitHub, Google, Dropbox, and Microsoft are measuring AI's impact on software development using a combination of traditional engineering metrics (change failure rate, PR throughput) and AI-specific metrics (time savings, adoption rates, customer satisfaction). The research reveals that 85% of engineers use AI tools at work, but measuring their true impact requires tracking both speed and quality metrics together. Companies are finding AI particularly effective for code migrations and grunt work, while being cautious about data security and long-term code maintainability. The measurement approach combines system data, periodic surveys, and experience sampling to get a complete picture of AI's effect on developer productivity.
#Tech@ethhostech #Ai #Git
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Chrome for Developers
Chrome 142 introduces three major CSS and web platform features: the :target-before and :target-after pseudo-classes for styling scroll markers relative to the active marker, range syntax support for style container queries and the if() function enabling numeric comparisons with operators, and the interestfor attribute for button and anchor elements that triggers actions when users show interest through hover, keyboard shortcuts, or long-press gestures.
#Tec@ethhostech #Ai #hos
Chrome 142 introduces three major CSS and web platform features: the :target-before and :target-after pseudo-classes for styling scroll markers relative to the active marker, range syntax support for style container queries and the if() function enabling numeric comparisons with operators, and the interestfor attribute for button and anchor elements that triggers actions when users show interest through hover, keyboard shortcuts, or long-press gestures.
#Tec@ethhostech #Ai #hos
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👐 OpenAI Introduces GPT-5.1
OpenAI has rolled out GPT-5.1, a new version of its flagship model that feels more natural and conversational while improving efficiency. The update responds to feedback that GPT-5 sounded too robotic compared with GPT-4o.
Paid subscribers are getting early access, with a full rollout coming soon. GPT-5.1 will replace the base GPT-5. A GPT-5.1 Pro version is also on the way.
Read More
#Tech@ethhostech
OpenAI has rolled out GPT-5.1, a new version of its flagship model that feels more natural and conversational while improving efficiency. The update responds to feedback that GPT-5 sounded too robotic compared with GPT-4o.
Paid subscribers are getting early access, with a full rollout coming soon. GPT-5.1 will replace the base GPT-5. A GPT-5.1 Pro version is also on the way.
Read More
#Tech@ethhostech
🔥 Tech With Hos — Top 5 Backend Tools in High Demand (2025)
1. Node.js + Express
Fast, lightweight, and perfect for building APIs. JavaScript everywhere — frontend and backend.
2. Django / FastAPI (Python)
Secure, easy to build with, and great for AI-powered apps. FastAPI is super high-performance.
3. Spring Boot (Java)
Enterprise-level, scalable, and used by big companies worldwide.
4. Golang (Go)
Simple, fast, and ideal for microservices and cloud-native systems.
5. .NET Core (C#)
Highly reliable, used a lot in corporate and government systems.
#Tech@ethhostech #hos
1. Node.js + Express
Fast, lightweight, and perfect for building APIs. JavaScript everywhere — frontend and backend.
2. Django / FastAPI (Python)
Secure, easy to build with, and great for AI-powered apps. FastAPI is super high-performance.
3. Spring Boot (Java)
Enterprise-level, scalable, and used by big companies worldwide.
4. Golang (Go)
Simple, fast, and ideal for microservices and cloud-native systems.
5. .NET Core (C#)
Highly reliable, used a lot in corporate and government systems.
#Tech@ethhostech #hos
No wires. No limits. Pure energy.
Finland just tested true wireless electricity — sending power through the air with zero cables.
Using radio waves, engineers can safely power small devices like sensors, lights, and medical tools without plugging anything in.
This could mean cleaner cities, self-charging smart homes, and public spaces where power flows invisibly.
It’s early, but the future of energy just got a lot closer.
#Tec@ethhostech
#hos #Ai
Finland just tested true wireless electricity — sending power through the air with zero cables.
Using radio waves, engineers can safely power small devices like sensors, lights, and medical tools without plugging anything in.
This could mean cleaner cities, self-charging smart homes, and public spaces where power flows invisibly.
It’s early, but the future of energy just got a lot closer.
#Tec@ethhostech
#hos #Ai
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Forwarded from Discover • Tech News
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Forwarded from CSEC ASTU (𝑘𝑖𝑑𝑜 .𝑎)
📣 Seminar Announcement — Open to All ASTU Student
We are pleased to share that CSEC ASTU will be hosting a special seminar this Sunday, featuring one of our own member who recently interned at Bloomberg. This achievement is a proud moment for our community and a source of inspiration for aspiring professionals.
🗓 Date: Sunday
📍 Venue: Block 508, Room 10
⏰ Time: 02:00 LT Evening (ማታ)
The session is open to all students and we warmly encourage everyone to attend and benefit from this insightful experience.
👥 Join us:
🔗 CSEC ASTU - LinkedIn
💬 CSEC ASTU - Telegram
▶️ CSEC ASTU - YouTube
#CSEC_ASTU #BloombergIntern #CareerDevelopment #StudentSuccess #ProfessionalGrowth
We are pleased to share that CSEC ASTU will be hosting a special seminar this Sunday, featuring one of our own member who recently interned at Bloomberg. This achievement is a proud moment for our community and a source of inspiration for aspiring professionals.
During the session, our speaker will discuss:
🔹 Journey toward securing a Bloomberg internship
🔹 Essential skills and preparation strategies
🔹 Challenges faced and how they were overcome
🔹 Practical advice for students pursuing competitive global opportunities.
🗓 Date: Sunday
📍 Venue: Block 508, Room 10
⏰ Time: 02:00 LT Evening (ማታ)
The session is open to all students and we warmly encourage everyone to attend and benefit from this insightful experience.
👥 Join us:
🔗 CSEC ASTU - LinkedIn
💬 CSEC ASTU - Telegram
▶️ CSEC ASTU - YouTube
Big opportunities start with small steps… like attending this seminar.
#CSEC_ASTU #BloombergIntern #CareerDevelopment #StudentSuccess #ProfessionalGrowth
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CSS has become too POWERFUL
Modern CSS has evolved beyond simple text-based workflows, with advanced features like OKLCH color spaces, complex gradients, timing functions, and path animations becoming difficult to write manually. Visual editors are emerging as essential tools for working with these powerful capabilities, making features more discoverable and encouraging experimentation. The shift toward visual tooling represents a natural evolution as CSS specifications expand faster than developers can keep up with traditional text-based approaches.
Modern CSS has evolved beyond simple text-based workflows, with advanced features like OKLCH color spaces, complex gradients, timing functions, and path animations becoming difficult to write manually. Visual editors are emerging as essential tools for working with these powerful capabilities, making features more discoverable and encouraging experimentation. The shift toward visual tooling represents a natural evolution as CSS specifications expand faster than developers can keep up with traditional text-based approaches.
Top 3 Database Tools You Should Know in 2025
Working with data is now a must-have skill for developers, analysts, and engineers. Here are the 3 best and most widely used database tools in 2025:
1. PostgreSQL
* Powerful open-source SQL database
* Excellent for large-scale applications
* Supports advanced features like JSONB, indexing, and strong security
* Used by companies like Instagram, Spotify, and Apple
2. MongoDB
* NoSQL database designed for fast and flexible data storage
* Stores data in JSON-like documents
* Great for real-time apps, IoT, and systems that need to scale
* Easy to use and developer-friendly
3. MySQL / MariaDB
* One of the most popular relational databases worldwide
* Fast, reliable, and simple to set up
* Perfect for web applications (used in WordPress, Facebook’s early versions)
* MariaDB is an improved, community-driven version of My sql.
Working with data is now a must-have skill for developers, analysts, and engineers. Here are the 3 best and most widely used database tools in 2025:
1. PostgreSQL
* Powerful open-source SQL database
* Excellent for large-scale applications
* Supports advanced features like JSONB, indexing, and strong security
* Used by companies like Instagram, Spotify, and Apple
2. MongoDB
* NoSQL database designed for fast and flexible data storage
* Stores data in JSON-like documents
* Great for real-time apps, IoT, and systems that need to scale
* Easy to use and developer-friendly
3. MySQL / MariaDB
* One of the most popular relational databases worldwide
* Fast, reliable, and simple to set up
* Perfect for web applications (used in WordPress, Facebook’s early versions)
* MariaDB is an improved, community-driven version of My sql.
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🔥 Top 3 Programming Languages You Should Learn in 2025
1️⃣ Python – The All-Rounder
Python continues to dominate because of its simplicity and wide use.
From AI and machine learning to web apps and automation, Python helps you build anything fast.
Why learn it? Easy to start, powerful for big projects.
2️⃣ JavaScript – The Web King
Every website uses JavaScript.
If you want to build interactive websites, mobile apps, or even backend APIs, JS is the backbone.
Why learn it? Endless job opportunities + works everywhere.
3️⃣ C++ – The Performance Beast
C++ is used where speed and control matter: games, operating systems, and high-performance computing.
It’s tougher to learn, but extremely rewarding.
Why learn it? It teaches strong computer science foundations.
✅ Final Message
Learning any of these three will boost your tech journey.
Pick one, stay consistent, and keep building — Tech With Hos is here to guide you!
1️⃣ Python – The All-Rounder
Python continues to dominate because of its simplicity and wide use.
From AI and machine learning to web apps and automation, Python helps you build anything fast.
Why learn it? Easy to start, powerful for big projects.
2️⃣ JavaScript – The Web King
Every website uses JavaScript.
If you want to build interactive websites, mobile apps, or even backend APIs, JS is the backbone.
Why learn it? Endless job opportunities + works everywhere.
3️⃣ C++ – The Performance Beast
C++ is used where speed and control matter: games, operating systems, and high-performance computing.
It’s tougher to learn, but extremely rewarding.
Why learn it? It teaches strong computer science foundations.
✅ Final Message
Learning any of these three will boost your tech journey.
Pick one, stay consistent, and keep building — Tech With Hos is here to guide you!
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5 Git Commands That'll Save Your Project
Mastering version control isn't optional it's essential.
Here are the commands you'll use daily:
1️. git status
Check what's changed in your project
2️. git add .
Stage all changes for commit
3️. git commit -m "your message"
Save your changes with a denoscription
4️. git push
Send your code to the remote repository
5️. git pull
Get the latest changes from your team
Why this matters:
💥 Prevents code conflicts in team projects
💥Tracks every change you make
💥Enables collaboration with developers worldwide
Version control is the difference between professional and amateur development.
Mastering version control isn't optional it's essential.
Here are the commands you'll use daily:
1️. git status
Check what's changed in your project
2️. git add .
Stage all changes for commit
3️. git commit -m "your message"
Save your changes with a denoscription
4️. git push
Send your code to the remote repository
5️. git pull
Get the latest changes from your team
Why this matters:
💥 Prevents code conflicts in team projects
💥Tracks every change you make
💥Enables collaboration with developers worldwide
Version control is the difference between professional and amateur development.
🚀 Top 3 Websites for Competitive Programming
⭐ 1. Codeforces
Best for: Real competitive programming & speed building
Why it stands out:
🏁 Frequent contests (almost daily)
📚 Massive problemset sorted by difficulty
🧠 Detailed editorials + active discussions
⚡ Improves logic, speed, and contest mindset
🎯 If your goal is A2SV, ICPC, or becoming fast and sharp — Codeforces is #1.
⭐ 2. LeetCode
Best for: Data Structures & Interview Preparation
Why it stands out:
🎨 Clean and beginner-friendly interface
🧩 Well-structured DSA problems
📈 Ideal for step-by-step learning
🔍 Filter by topic (Arrays, Graphs, DP, Trees…)
🎯 Perfect for building strong DSA fundamentals and preparing for internships & jobs.
⭐ 3. AtCoder
Best for: Logical & mathematically clean problem-solving
Why it stands out:
📅 Weekly beginner-friendly contests
✨ High-quality, well-designed problems
🚦 Clear difficulty progression (ABC → ARC → AGC)
🎯 Helps you develop clean thinking and precise logic, not just brute force.
⭐ 1. Codeforces
Best for: Real competitive programming & speed building
Why it stands out:
🏁 Frequent contests (almost daily)
📚 Massive problemset sorted by difficulty
🧠 Detailed editorials + active discussions
⚡ Improves logic, speed, and contest mindset
🎯 If your goal is A2SV, ICPC, or becoming fast and sharp — Codeforces is #1.
⭐ 2. LeetCode
Best for: Data Structures & Interview Preparation
Why it stands out:
🎨 Clean and beginner-friendly interface
🧩 Well-structured DSA problems
📈 Ideal for step-by-step learning
🔍 Filter by topic (Arrays, Graphs, DP, Trees…)
🎯 Perfect for building strong DSA fundamentals and preparing for internships & jobs.
⭐ 3. AtCoder
Best for: Logical & mathematically clean problem-solving
Why it stands out:
📅 Weekly beginner-friendly contests
✨ High-quality, well-designed problems
🚦 Clear difficulty progression (ABC → ARC → AGC)
🎯 Helps you develop clean thinking and precise logic, not just brute force.
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