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Artificial Intelligence & ChatGPT Prompts

Artificial Intelligence & ChatGPT Prompts

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๐Ÿ”“Unlock Your Coding Potential with ChatGPT ๐Ÿš€ Your Ultimate Guide to Ace Coding Interviews! ๐Ÿ’ป Coding tips, practice questions, and expert advice to land your dream tech job. For Promotions: @love_data

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๐Ÿ“ˆ Telegram kanali Artificial Intelligence & ChatGPT Prompts analitikasi

Artificial Intelligence & ChatGPT Prompts (@curiousprogrammer) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 42 114 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 229-o'rinni va Hindiston mintaqasida 9 545-o'rinni egallagan.

๐Ÿ“Š Auditoriya koโ€˜rsatkichlari va dinamika

ะฝะตะฒั–ะดะพะผะพ sanasidan buyon loyiha tez oโ€˜sib, 42 114 obunachiga ega boโ€˜ldi.

12 Iyun, 2026 dagi oxirgi maโ€™lumotlarga koโ€˜ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 175 ga, soโ€˜nggi 24 soatda esa 12 ga oโ€˜zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya oโ€˜rtacha 2.43% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.73% ini tashkil etuvchi reaksiyalarni toโ€˜playdi.
  • Post qamrovi: Har bir post oโ€˜rtacha 1 024 marta koโ€˜riladi; birinchi sutkada odatda 306 ta koโ€˜rish yigโ€˜iladi.
  • Reaksiyalar va oโ€˜zaro taโ€™sir: Auditoriya faol: har bir postga oโ€˜rtacha 3 ta reaksiya keladi.
  • Tematik yoโ€˜nalishlar: Kontent learning, algorithm, detection, llm, pattern kabi asosiy mavzularga jamlangan.

๐Ÿ“ Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida taโ€™riflaydi:
โ€œ๐Ÿ”“Unlock Your Coding Potential with ChatGPT ๐Ÿš€ Your Ultimate Guide to Ace Coding Interviews! ๐Ÿ’ป Coding tips, practice questions, and expert advice to land your dream tech job. For Promotions: @love_dataโ€

Yuqori yangilanish chastotasi (oxirgi maโ€™lumot 13 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli boโ€˜lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim taโ€™sir nuqtasiga aylantirishini koโ€˜rsatadi.

42 114
Obunachilar
+1224 soatlar
+227 kunlar
+17530 kunlar
Postlar arxiv
๐ŸŽ“ ๐——๐—ฎ๐˜๐—ฎ ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ & ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ - ๐—™๐—ฅ๐—˜๐—˜ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐Ÿ˜ Unlock the p
๐ŸŽ“ ๐——๐—ฎ๐˜๐—ฎ ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ & ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ - ๐—™๐—ฅ๐—˜๐—˜ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐Ÿ˜ Unlock the power of data and launch your tech career with this FREE industry-relevant certification! ๐Ÿ“˜ What Youโ€™ll Learn: - Introduction to Data Science & Analytics - Database Management Essentials - Big Data Applications in Real World - Data Science for Absolute Beginners - Evolution & Impact of Big Data Analytics ๐‹๐ข๐ง๐ค ๐Ÿ‘‡:-  https://pdlink.in/4l3nFx0 ๐Ÿš€ Start Learning Now โ€“ 100% Free! ๐Ÿ“œ Get Certified & Boost Your Career!

Here is the list of latest trending tech stacks in 2025๐Ÿ‘‡๐Ÿ‘‡ 1. Frontend Development: - React.js: Known for its component-based architecture and strong community support. - Vue.js: Valued for its simplicity and flexibility in building user interfaces. - Angular: Still widely used, especially in enterprise applications. 2. Backend Development: - Node.js: Popular for building scalable and fast network applications using JavaScript. - Django: Preferred for its rapid development capabilities and robust security features. - Spring Boot: Widely used in Java-based applications for its ease of use and integration capabilities. 3. Mobile Development: - Flutter: Known for building natively compiled applications for mobile, web, and desktop from a single codebase. - React Native: Continues to be popular for building cross-platform applications with native capabilities. 4. Cloud Computing and DevOps: - AWS (Amazon Web Services), Azure, Google Cloud: Leading cloud service providers offering extensive services for computing, storage, and networking. - Docker and Kubernetes: Essential for containerization and orchestration of applications in a cloud-native environment. - Terraform: Infrastructure as code tool for managing and provisioning cloud infrastructure. 5. Data Science and Machine Learning: - Python: Dominant language for data science and machine learning, with libraries like NumPy, Pandas, and Scikit-learn. - TensorFlow and PyTorch: Leading frameworks for building and training machine learning models. - Apache Spark: Used for big data processing and analytics. 6. Cybersecurity: - SIEM Tools (Security Information and Event Management): Such as Splunk and ELK Stack, crucial for monitoring and managing security incidents. - Zero Trust Architecture: A security model that eliminates the idea of trust based on network location. 7. Blockchain and Cryptocurrency: - Ethereum: A blockchain platform supporting smart contracts and decentralized applications. - Hyperledger Fabric: Framework for developing permissioned, blockchain-based applications. 8. Artificial Intelligence (AI) and Natural Language Processing (NLP): - GPT (Generative Pre-trained Transformer) Models: Such as GPT-4, used for various natural language understanding tasks. - Computer Vision: Frameworks like OpenCV for image and video processing tasks. 9. Edge Computing and IoT (Internet of Things): - Edge Computing: Technologies that bring computation and data storage closer to the location where it is needed. - IoT Platforms: Such as AWS IoT, Azure IoT Hub, offering capabilities for managing and securing IoT devices and data. Best Resources to help you with the journey ๐Ÿ‘‡๐Ÿ‘‡ Javascript Roadmap https://t.me/javascript_courses/309 Best Programming Resources: https://topmate.io/coding/886839 Web Development Resources https://t.me/webdevcoursefree Latest Jobs & Internships https://t.me/getjobss Cryptocurrency Basics https://t.me/Bitcoin_Crypto_Web/236 Python Resources https://t.me/pythonanalyst Data Science Resources https://t.me/datasciencefree Best DSA Resources https://topmate.io/coding/886874 Udemy Free Courses with Certificate https://t.me/udemy_free_courses_with_certi Join @free4unow_backup for more free resources. ENJOY LEARNING ๐Ÿ‘๐Ÿ‘

๐—ช๐—ฎ๐—ป๐˜ ๐˜๐—ผ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป ๐—œ๐—ป-๐——๐—ฒ๐—บ๐—ฎ๐—ป๐—ฑ ๐—ง๐—ฒ๐—ฐ๐—ต ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€ โ€” ๐—ณ๐—ผ๐—ฟ ๐—™๐—ฅ๐—˜๐—˜ โ€” ๐——๐—ถ๐—ฟ๐—ฒ๐—ฐ๐˜๐—น๐˜† ๐—ณ๐—ฟ๐—ผ๐—บ ๐—š๐—ผ๐—ผ๐—ด๐—น๐—ฒ?๏ฟฝ
๐—ช๐—ฎ๐—ป๐˜ ๐˜๐—ผ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป ๐—œ๐—ป-๐——๐—ฒ๐—บ๐—ฎ๐—ป๐—ฑ ๐—ง๐—ฒ๐—ฐ๐—ต ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€ โ€” ๐—ณ๐—ผ๐—ฟ ๐—™๐—ฅ๐—˜๐—˜ โ€” ๐——๐—ถ๐—ฟ๐—ฒ๐—ฐ๐˜๐—น๐˜† ๐—ณ๐—ฟ๐—ผ๐—บ ๐—š๐—ผ๐—ผ๐—ด๐—น๐—ฒ?๐Ÿ˜ Whether youโ€™re a student, job seeker, or just hungry to upskill โ€” these 5 beginner-friendly courses are your golden ticket๐ŸŽŸ๏ธ No fluff. No fees. Just career-boosting knowledge and certificates that make your resume popโœจ๏ธ ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/42vL6br Enjoy Learning โœ…๏ธ

_Operating System RoadMap | |-- Kernel | |-- Memory Management | | |-- Paging | | |-- Segmentation | | |-- Virtual Memory | | | |-- Process Management | | |-- Process Scheduling | | |-- Inter-Process Communication (IPC) | | |-- Threads | | | |-- File System | | |-- File I/O | | |-- Directory Structure | | |-- File Permissions | | | |-- Device Drivers | | |-- Communication with Hardware | | |-- Input/Output (I/O) | | | |-- System Calls | |-- Interface to Kernel Functionality | |-- Examples: open(), read(), write(), etc. | |-- Memory Management | |-- RAM | | |-- Stack | | |-- Heap | | |-- Data Segment | | |-- Code Segment | | | |-- Cache | | |-- L1, L2, L3 Caches | | | |-- Virtual Memory | |-- Page Table | |-- Page Replacement Algorithms | |-- Swapping | |-- File System | |-- File Organization | |-- File Allocation Table (FAT) | |-- Inodes | |-- File Access Methods | |-- Networking | |-- TCP/IP | |-- Protocols | |-- Network Stack | |-- Routing | |-- Firewalls | |-- Security | |-- Authentication | |-- Authorization | |-- Encryption | |-- Access Control Lists (ACL) | |-- Process Management | |-- PCB (Process Control Block) | |-- Context Switching | |-- Deadlocks | |-- Synchronization | |-- Mutual Exclusion | |-- Device Management | |-- I/O Buffering | |-- Device Controllers | |-- Interrupt Handling | |-- DMA (Direct Memory Access) | |-- User Interface | |-- Graphical User Interface (GUI) | |-- Command Line Interface (CLI) | |-- Windowing Systems | |-- Shell | |-- Command Interpreter | |-- Scripting | |-- Job Control | |-- System Utilities | |-- Task Manager | |-- Disk Cleanup | |-- System Monitor | |-- Backup and Restore | |-- Boot Process | |-- BIOS/UEFI | |-- Boot Loader | |-- Kernel Initialization | |-- Init Process | |-- System Libraries | |-- Standard C Library | |-- POSIX Library | |-- WinAPI (for Windows) | |-- System Calls | |-- File System Calls | |-- Process Control Calls | |-- Memory Management Calls | |-- Communication Calls | |-- Error Handling | |-- Error Codes | |-- Logging | |-- Recovery Strategies | |-- Distributed Systems | |-- Clustering | |-- Load Balancing | |-- Distributed File Systems | |-- Cloud Computing | |-- Virtualization | |-- Infrastructure as a Service (IaaS) | |-- Platform as a Service (PaaS) | |-- Software as a Service (SaaS) | โ””-- Comments |-- // Single-line comment โ””-- /* Multi-line comment */ Join for more: https://t.me/programming_guide

๐Ÿฏ๐Ÿฌ+ ๐—™๐—ฅ๐—˜๐—˜ ๐—š๐—ฒ๐—ป๐—ฒ๐—ฟ๐—ฎ๐˜๐—ถ๐˜ƒ๐—ฒ๐—”๐—œ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€๐Ÿ˜ India's Biggest AI Challenge (13th To 15t
๐Ÿฏ๐Ÿฌ+ ๐—™๐—ฅ๐—˜๐—˜ ๐—š๐—ฒ๐—ป๐—ฒ๐—ฟ๐—ฎ๐˜๐—ถ๐˜ƒ๐—ฒ๐—”๐—œ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€๐Ÿ˜ India's Biggest AI Challenge (13th To 15th July ) , Earn Free certificates & Boost your resume! ๐—ฅ๐—ฒ๐—ด๐—ถ๐˜€๐˜๐—ฒ๐—ฟ ๐—™๐—ผ๐—ฟ ๐—™๐—ฅ๐—˜๐—˜๐Ÿ‘‡:-  https://pdlink.in/3Gx7lW7 Enroll For FREE & Become an AI Champion๐Ÿ†

SQL Cheatsheet ๐Ÿ“ This SQL cheatsheet is designed to be your quick reference guide for SQL programming. Whether youโ€™re a beginner learning how to query databases or an experienced developer looking for a handy resource, this cheatsheet covers essential SQL topics. 1. Database Basics - CREATE DATABASE db_name; - USE db_name; 2. Tables - Create Table: CREATE TABLE table_name (col1 datatype, col2 datatype); - Drop Table: DROP TABLE table_name; - Alter Table: ALTER TABLE table_name ADD column_name datatype; 3. Insert Data - INSERT INTO table_name (col1, col2) VALUES (val1, val2); 4. Select Queries - Basic Select: SELECT * FROM table_name; - Select Specific Columns: SELECT col1, col2 FROM table_name; - Select with Condition: SELECT * FROM table_name WHERE condition; 5. Update Data - UPDATE table_name SET col1 = value1 WHERE condition; 6. Delete Data - DELETE FROM table_name WHERE condition; 7. Joins - Inner Join: SELECT * FROM table1 INNER JOIN table2 ON table1.col = table2.col; - Left Join: SELECT * FROM table1 LEFT JOIN table2 ON table1.col = table2.col; - Right Join: SELECT * FROM table1 RIGHT JOIN table2 ON table1.col = table2.col; 8. Aggregations - Count: SELECT COUNT(*) FROM table_name; - Sum: SELECT SUM(col) FROM table_name; - Group By: SELECT col, COUNT(*) FROM table_name GROUP BY col; 9. Sorting & Limiting - Order By: SELECT * FROM table_name ORDER BY col ASC|DESC; - Limit Results: SELECT * FROM table_name LIMIT n; 10. Indexes - Create Index: CREATE INDEX idx_name ON table_name (col); - Drop Index: DROP INDEX idx_name; 11. Subqueries - SELECT * FROM table_name WHERE col IN (SELECT col FROM other_table); 12. Views - Create View: CREATE VIEW view_name AS SELECT * FROM table_name; - Drop View: DROP VIEW view_name; Here you can find SQL Interview Resources๐Ÿ‘‡ https://t.me/DataSimplifier Share with credits: https://t.me/sqlspecialist Hope it helps :)

๐—ช๐—ฎ๐—ป๐˜ ๐˜๐—ผ ๐—•๐—ฒ๐—ฐ๐—ผ๐—บ๐—ฒ ๐—ฎ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜ ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ? ๐—›๐—ฒ๐—ฟ๐—ฒ'๐˜€ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐Ÿญ๐Ÿฌ๐Ÿฌ% ๐—™๐—ฅ๐—˜๐—˜ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด ๏ฟฝ
๐—ช๐—ฎ๐—ป๐˜ ๐˜๐—ผ ๐—•๐—ฒ๐—ฐ๐—ผ๐—บ๐—ฒ ๐—ฎ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜ ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ? ๐—›๐—ฒ๐—ฟ๐—ฒ'๐˜€ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐Ÿญ๐Ÿฌ๐Ÿฌ% ๐—™๐—ฅ๐—˜๐—˜ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด ๐—ฃ๐—ฎ๐˜๐—ต!๐Ÿ˜ Skip the pricey courses โ€” and start learning with these 5 YouTube playlists that cover everything from Excel and SQL to Power BI and real-world portfolio projects๐Ÿ‘จโ€๐Ÿ’ป Whether youโ€™re a student, career switcher, or just brushing up for interviews, this list will give you all the tools you need โ€” step by step.๐Ÿ“Š๐Ÿ“Œ ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/4eAK4Pv Save this post & start watching today.โœ…๏ธ

Here are some interview questions for both freshers and experienced applying for a data analyst #SQL Analyst role: #ForFreshers: 1. What is SQL, and why is it important in data analysis? 2. Explain the difference between a database and a table. 3. What are the basic SQL commands for data retrieval? 4. How do you retrieve all records from a table named "Employees"? 5. What is a primary key, and why is it important in a database? 6. What is a foreign key, and how is it used in SQL? 7. Describe the difference between SQL JOIN and SQL UNION. 8. How do you write a SQL query to find the second-highest salary in a table? 9. What is the purpose of the GROUP BY clause in SQL? 10. Can you explain the concept of normalization in SQL databases? 11. What are the common aggregate functions in SQL, and how are they used? ForExperiencedCandidates: 1. Describe a scenario where you had to optimize a slow-running SQL query. How did you approach it? 2. Explain the differences between SQL Server, MySQL, and Oracle databases. 3. Can you describe the process of creating an index in a SQL database and its impact on query performance? 4. How do you handle data quality issues when performing data analysis with SQL? 5. What is a subquery, and when would you use it in SQL? Give an example of a complex SQL query you've written to extract specific insights from a database. 6. How do you handle NULL values in SQL, and what are the challenges associated with them? 7. Explain the ACID properties of a database and their importance. 8. What are stored procedures and triggers in SQL, and when would you use them? 9. Describe your experience with ETL (Extract, Transform, Load) processes using SQL. 10. Can you explain the concept of query optimization in SQL, and what techniques have you used for optimization? Enjoy Learning ๐Ÿ‘๐Ÿ‘

๐—ง๐—ผ๐—ฝ ๐— ๐—ก๐—–๐˜€ ๐—›๐—ถ๐—ฟ๐—ถ๐—ป๐—ด ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜๐˜€ | ๐—”๐—ฝ๐—ฝ๐—น๐˜† ๐—ก๐—ผ๐˜„๐Ÿ˜ - Infosys - Genpact - IBM - Virtusa - S&P Global
๐—ง๐—ผ๐—ฝ ๐— ๐—ก๐—–๐˜€ ๐—›๐—ถ๐—ฟ๐—ถ๐—ป๐—ด ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜๐˜€ | ๐—”๐—ฝ๐—ฝ๐—น๐˜† ๐—ก๐—ผ๐˜„๐Ÿ˜ - Infosys - Genpact - IBM - Virtusa - S&P Global Job Location:- Across India Qualification:- Graduate/Post Graduate Salary Range :- 5 To 21LPA ๐—”๐—ฝ๐—ฝ๐—น๐˜† ๐—ก๐—ผ๐˜„๐Ÿ‘‡ :-  https://bit.ly/44qMX2k Select your experience & Complete The Registration Process  Once your profile shortlisted , you will get call letter from recruiters

Python Data Types ๐Ÿ‘†
+9
Python Data Types ๐Ÿ‘†

๐Ÿญ๐Ÿฑ-๐——๐—ฎ๐˜† ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป ๐—ฅ๐—ผ๐—ฎ๐—ฑ๐—บ๐—ฎ๐—ฝ ๐˜„๐—ถ๐˜๐—ต ๐—™๐—ฅ๐—˜๐—˜ ๐—ฅ๐—ฒ๐˜€๐—ผ๐˜‚๐—ฟ๐—ฐ๐—ฒ๐˜€!๐Ÿ˜ Want to master Python but donโ€™t know where to
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Artificial Intelligence isn't easy! Itโ€™s the cutting-edge field that enables machines to think, learn, and act like humans. To truly master Artificial Intelligence, focus on these key areas: 0. Understanding AI Fundamentals: Learn the basic concepts of AI, including search algorithms, knowledge representation, and decision trees. 1. Mastering Machine Learning: Since ML is a core part of AI, dive into supervised, unsupervised, and reinforcement learning techniques. 2. Exploring Deep Learning: Learn neural networks, CNNs, RNNs, and GANs to handle tasks like image recognition, NLP, and generative models. 3. Working with Natural Language Processing (NLP): Understand how machines process human language for tasks like sentiment analysis, translation, and chatbots. 4. Learning Reinforcement Learning: Study how agents learn by interacting with environments to maximize rewards (e.g., in gaming or robotics). 5. Building AI Models: Use popular frameworks like TensorFlow, PyTorch, and Keras to build, train, and evaluate your AI models. 6. Ethics and Bias in AI: Understand the ethical considerations and challenges of implementing AI responsibly, including fairness, transparency, and bias. 7. Computer Vision: Master image processing techniques, object detection, and recognition algorithms for AI-powered visual applications. 8. AI for Robotics: Learn how AI helps robots navigate, sense, and interact with the physical world. 9. Staying Updated with AI Research: AI is an ever-evolving fieldโ€”stay on top of cutting-edge advancements, papers, and new algorithms. Artificial Intelligence is a multidisciplinary field that blends computer science, mathematics, and creativity. ๐Ÿ’ก Embrace the journey of learning and building systems that can reason, understand, and adapt. โณ With dedication, hands-on practice, and continuous learning, youโ€™ll contribute to shaping the future of intelligent systems! Data Science & Machine Learning Resources: https://topmate.io/coding/914624 Credits: https://t.me/datasciencefun Like if you need similar content ๐Ÿ˜„๐Ÿ‘ Hope this helps you ๐Ÿ˜Š #ai #datascience

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Repost from Data Analytics
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