We have uploaded a new ETL in Python and SQL Course in our premium channel.

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The world responds to how you carry yourself, not just who you currently are

Build your own ChatGPT

Build an LLM app with Mixture of AI Agents using small Open Source LLMs in just 40 lines of Python Code

⬇️ step-by-step instructions here ⬇️

t.me/airesourcestp/277

Where are we headed?😹

SQL

SQL Tricks to Level Up Your Database Skills 🚀

1️⃣ Use COALESCE Instead of CASE
2️⃣ Generate Sequential Numbers Without a Table
3️⃣ Find Duplicates Quickly
4️⃣ Randomly Select Rows
5️⃣ Pivot Data Without PIVOT (For Databases Without It)
6️⃣ Efficiently Get the Last Inserted ID

Explanations, Practical examples and code snippets here👇
https://t.me/sqlresourcestp/161

PYTHON BOOKS

📚 Title: Python Bible - 14 Days
📥Download: https://t.me/pythonresourcestp/161

📚 Title: Python Crash Course – Ole Nielsen (en)
📥Download: https://t.me/pythonresourcestp/162

📚 Title: Python for Data Science
📥Download: https://t.me/pythonresourcestp/163

Engineering is art

Telegram owner Pavel Durov is said to have 106 children. It would be nice if he explained how he spends his time 😒

The next half-decade will redefine what it means to be a developer. Continuous learning isn't a luxury, it's the default.

🔆 t.me/techpsyche

Ages of Operating Systems👨🏻‍💻😎

📂 Windows 11 (3 years old)
🪟 Windows 10 (8 years old)
🍎 macOS Yosemite (10 years old)
🐉 Kali Linux (11 years old)
💻 Windows 8 (12 years old)
🌐 Manjaro (11 years old)
💻 Windows 7 (14 years old)
🖥 Windows Vista (17 years old)
🌿 Linux Mint (18 years old)
🐧 Ubuntu (20 years old)
⚙️ Fedora (20 years old)
🔧 OpenSUSE (20 years old)
⚙️ CentOS (20 years old)
🐧 Arch Linux (22 years old)
🍏 macOS (22 years old)
💻 Windows XP (23 years old)
🖥 Windows 2000 (24 years old)
📱 Windows 98 (25 years old)
🌍 Windows 95 (28 years old)
💻 Windows 3.1 (29 years old)
🖥 OS/2 (32 years old)
🐧 Debian (31 years old)
🔴 Red Hat Linux (30 years old)
🎮 AmigaOS (34 years old)
🖥 Xenix (40 years old)
📀 VMS (44 years old)
💾 MS-DOS (42 years old)
💾 CP/M (49 years old)
🖥 Unix (54 years old)

Self-improvement Trap: https://t.me/techpsyche/1523

Cloud & DevOps Free Course: https://techurl.in/iucvS

Software Architectural Patterns: https://t.me/techpsyche/1376

Top Libraries & Frameworks by Language: https://t.me/techpsyche/1442

React with ❤️ for more useful content

#techpsyche

Coding Resources: https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R

KENYA🇰🇪

Deployment and Support Specialist

Organization: cloudhop
Location: Nairobi, Kenya
Employment Type: Full Time

How to Apply
https://cloudhop.bamboohr.com/careers/22

Telegram Channel👇
https://t.me/jobsourceglobal

WhatsApp Channel👇
https://whatsapp.com/channel/0029VbAqbkw6hENvEJZLl22d

Next JS

RubyMine is Free!!!

Useful Cheatsheets for Programmers
👇👇

Data Science Cheatsheet
https://github.com/aaronwangy/Data-Science-Cheatsheet

SQL Cheatsheet
https://learnsql.com/blog/sql-basics-cheat-sheet/

https://t.me/sqlresourcestp/8

https://www.sqltutorial.org/wp-content/uploads/2016/04/SQL-cheat-sheet.pdf

Java Programming Cheatsheet
https://introcs.cs.princeton.edu/java/11cheatsheet/

Ruby Cheatsheet
https://codecademy.com/learn/learn-ruby/modules/learn-ruby-introduction-to-ruby-u/cheatsheet

PHP Cheatsheet
https://quickref.me/php.html

Javascript Cheat sheet
https://t.me/techpsyche/136

Pandas Cheatsheet
https://pandas.pydata.org/Pandas_Cheat_Sheet.pdf

Python Cheat sheet
https://t.me/pythonresourcestp/42

UML Cheat sheet
https://www.guru99.com/uml-cheatsheet-reference-guide.html

GIT Cheatsheet
https://t.me/techpsyche/131

Machine Learning & AI Cheatsheet
https://t.me/airesourcestp/15

HTML Cheatsheet
https://web.stanford.edu/group/csp/cs21/htmlcheatsheet.pdf

ENJOY LEARNING 👍👍

Follow this WhatsApp Channel for More Resources:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R

🚀𝐁𝐨𝐨𝐬𝐭 𝐘𝐨𝐮𝐫 𝐂𝐚𝐫𝐞𝐞𝐫 𝐰𝐢𝐭𝐡 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭’𝐬 𝐅𝐫𝐞𝐞 𝐂𝐨𝐮𝐫𝐬𝐞𝐬!

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𝐋𝐢𝐧𝐤👇:-

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📈 Don’t miss this chance to build your skills, earn certifications, and get job-ready—all for free. Your journey in data analytics begins now!

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China🇨🇳

OpenAI introduces GDPval — a new metric that evaluates AI models based on economically relevant tasks from 44 professions, rather than just abstract tests.

Initial results show that modern models often match the quality of experts and can complete such tasks ~100× faster and more cheaply -underscoring the potential of AI in real-world work environments.

And to OpenAI's credit, the benchmark honestly shows that Claude Opus 4.1 is currently ahead.

🔆 t.me/techpsyche