Tech Psyche . Updates . Tech Tips & Tricks . Programming , Tech Course
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Sharing updates & resources on Programming & Coding, Cryptocurrency, Blockchain, Web 3, Python, Data Science, Data Analysis, Java, Web Dev, AI, App Dev, ML, Cyber Security & Hacking & More

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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
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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
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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
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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
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🚀𝐁𝐨𝐨𝐬𝐭 𝐘𝐨𝐮𝐫 𝐂𝐚𝐫𝐞𝐞𝐫 𝐰𝐢𝐭𝐡 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭’𝐬 𝐅𝐫𝐞𝐞 𝐂𝐨𝐮𝐫𝐬𝐞𝐬!

💡 Learn directly from industry leaders at Microsoft and LinkedIn Learning and gain in-demand skills to elevate your career—all without spending a dime!

𝐋𝐢𝐧𝐤👇:-

https://tinyurl.com/nheyanxr

📈 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!

🔗 Start Learning Today!
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
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⚡️ Google publishes step-by-step guide to building AI agents

Google just released a comprehensive playbook on how to design and deploy your own AI agent, from the first idea all the way to a working product.
🔸 The guide breaks down core concepts like memory, context handling, and reasoning in plain language.
🔸 It walks readers through interfaces and integrations: CLI, Flask, FastAPI, Next.js, or embedding into Slack/Discord.
🔸 Each section includes illustrations, code samples, and curated links, making it accessible even for beginners.
🔸 The approach emphasizes iteration, showing how to refine an agent step by step into a production-ready tool.

By lowering the barrier to entry, Google is turning AI agents from a niche developer project into something any motivated builder can prototype.
Would you try following this guide to make your own
“Jarvis”?

Check it out here:
https://services.google.com/fh/files/misc/startup_technical_guide_ai_agents_final.pdf

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