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Artificial Intelligence & ChatGPT Prompts

Artificial Intelligence & ChatGPT Prompts

Kanalga Telegram’da o‘tish

🔓Unlock Your Coding Potential with ChatGPT 🚀 Your Ultimate Guide to Ace Coding Interviews! 💻 Coding tips, practice questions, and expert advice to land your dream tech job. For Promotions: @love_data

Ko'proq ko'rsatish

📈 Telegram kanali Artificial Intelligence & ChatGPT Prompts analitikasi

Artificial Intelligence & ChatGPT Prompts (@curiousprogrammer) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 42 297 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 098-o'rinni va Hindiston mintaqasida 8 965-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 42 297 obunachiga ega bo‘ldi.

01 Sentabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 84 ga, so‘nggi 24 soatda esa -1 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 1.55% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.68% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 655 marta ko‘riladi; birinchi sutkada odatda 288 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 3 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent learning, algorithm, detection, llm, pattern kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
🔓Unlock Your Coding Potential with ChatGPT 🚀 Your Ultimate Guide to Ace Coding Interviews! 💻 Coding tips, practice questions, and expert advice to land your dream tech job. For Promotions: @love_data

Yuqori yangilanish chastotasi (oxirgi ma’lumot 02 Sentabr, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

42 297
Obunachilar
-124 soatlar
+257 kun
+8430 kun
Postlar arxiv
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Programming languages and their uses in Ethical hacking : Programming languages are essential tools for ethical hackers. They are used for tasks such as vulnerability testing, penetration testing, and developing exploits. Here are some programming languages that are commonly used in ethical hacking and their specific uses: Python: Python is a high-level programming language that is easy to learn and widely used in the field of cybersecurity. It is used for tasks such as penetration testing, reverse engineering, and scripting. Python has a large community of developers who create and maintain libraries that can be used for security purposes, such as Scapy for packet manipulation, PyCrypto for encryption and decryption, and BeautifulSoup for web scraping. Ruby: Ruby is another high-level programming language that is popular in the cybersecurity community. It is used for developing exploits and automating tasks. Metasploit, one of the most widely used penetration testing tools, is written in Ruby. C/C++: C and C++ are low-level programming languages that are used for writing exploits and developing rootkits. They are also used for reverse engineering and vulnerability testing. Many of the tools used in ethical hacking, such as Nmap, Wireshark, and Tcpdump, are written in C/C++. JavaScript: JavaScript is a popular scripting language that is used for web application security testing. It is used for tasks such as cross-site scripting (XSS) and cross-site request forgery (CSRF) testing. Many web-based security tools, such as Burp Suite, are written in JavaScript. Bash: Bash is a shell scripting language that is used for automating tasks and creating custom scripts. It is commonly used for tasks such as password cracking and network scanning. SQL: SQL is a database programming language that is used for exploiting and testing SQL injection vulnerabilities in web applications. In addition to these languages, there are many other programming languages that can be used in ethical hacking, such as Perl, PHP, and Java. The choice of programming language will depend on the specific task at hand and the preference of the individual ethical hacker.

𝗙𝗿𝗲𝗲 𝗽𝗿𝗲𝘃𝗶𝗲𝘄 𝗼𝗳 𝗔𝗜-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗣𝗿𝗲𝗺𝗶𝘂𝗺 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗮𝗻𝗱 𝗮𝗰𝗰𝗲𝘀𝘀 𝘁𝗼 𝟭𝟬𝟬𝟬+ 𝗳𝗿𝗲𝗲 𝗼
𝗙𝗿𝗲𝗲 𝗽𝗿𝗲𝘃𝗶𝗲𝘄 𝗼𝗳 𝗔𝗜-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗣𝗿𝗲𝗺𝗶𝘂𝗺 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗮𝗻𝗱 𝗮𝗰𝗰𝗲𝘀𝘀 𝘁𝗼 𝟭𝟬𝟬𝟬+ 𝗳𝗿𝗲𝗲 𝗼𝗻𝗹𝗶𝗻𝗲 𝗰𝗼𝘂𝗿𝘀𝗲𝘀😍 Benefits:- - AI Mentor for unlimited, 24/7 doubt resolution - Coding Exercises with real-time coding assistance - Mock Interviews with AI-driven personalized prep and more 𝗟𝗶𝗻𝗸👇:-  https://pdlink.in/4aZZWtf 💥 Limited time offer: Free preview on all Premium Courses + Access to 1000+ free courses on GenAI, Data Science, etc.

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Repost from Old Glory Vortex
Trump Takes Action: Tariffs on China, Energy Dominance, Vaccine Ban & IRS Shakeup 🇺🇸🔥 🚨 Major moves from President Trump:
Trump Takes Action: Tariffs on China, Energy Dominance, Vaccine Ban & IRS Shakeup 🇺🇸🔥 🚨 Major moves from President Trump: 💰Tariffs on China: Trump announced that he has imposed import duties totaling 600 billion rubles—more than any other U.S. president before him. ⚡️Energy Dominance: Trump signed an executive order creating the National Council for Energy Dominance, chaired by Secretary of State Bergum, aiming to unleash America’s full energy potential. 🚫COVID-19 Vaccine Ban in Schools: Schools receiving federal funding can no longer require the COVID-1COVID-19 vaccine—a decisive move that shuts down speculation about Trump's stance on vaccines. 📉Reports suggest the IRS is prepaIRS is preparing mass layoffs next week followingmajor audit of the agency. 🔥Bold moves, big changes—what’s next? #Trump #Tariffs #EnergyDominance #COVID19 #VaccineBan #IRS #China #AmericaFirst #BreakingNews Don't miss it, subscribe to 📱 Old Glory Vortex 🇺🇸

𝗟𝗲𝗮𝗿𝗻 𝗣𝘆𝘁𝗵𝗼𝗻 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘😍 Want to master Python and level up your data ana
𝗟𝗲𝗮𝗿𝗻 𝗣𝘆𝘁𝗵𝗼𝗻 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘😍 Want to master Python and level up your data analytics skills?✨️ These high-quality tutorials to help you go from beginner to pro!✅️ 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4hXQOHQ 📢 No cost, no catch – just pure learning! 🚀

𝐔𝐬𝐢𝐧𝐠 𝐁𝐢𝐠-𝐎 𝐢𝐧 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰𝐬 𝐚𝐧𝐝 𝐄𝐯𝐞𝐫𝐲𝐝𝐚𝐲 𝐋𝐢𝐟𝐞. Big-O notation is a mathematical notation that is used to describe the performance or complexity of an algorithm, specifically how long an algorithm takes to run as the input size grows. Understanding Big-O notation is essential for software engineers, as it allows them to analyze and compare the efficiency of different algorithms and make informed decisions about which one to use in a given situation. Here are famous Big-O notations with examples.

𝗙𝗥𝗘𝗘 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍 1)Business Analysis – Foundation 2)
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Channels that you MUST follow in 2024: ✅ @getjobss - Jobs and Internship Opportunities ✅ @englishlearnerspro - improve your E
Channels that you MUST follow in 2024:@getjobss - Jobs and Internship Opportunities ✅ @englishlearnerspro - improve your English ✅ @datasciencefun - Learn Data Science and Machibe Learning ✅ @crackingthecodinginterview - boost your coding knowledge ✅ @sqlspecialist - Data Analysts Community ✅ @programming_guide - Coding Books ✅ @udemy_free_courses_with_certi - Free Udemy Courses with Certificate

𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗧𝗼 𝗕𝗼𝗼𝘀𝘁 𝗬𝗼𝘂𝗿 𝗖𝗮𝗿𝗲𝗲𝗿😍 1) Introduction to Cyber Security 2) AWS Cloud
𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗧𝗼 𝗕𝗼𝗼𝘀𝘁 𝗬𝗼𝘂𝗿 𝗖𝗮𝗿𝗲𝗲𝗿😍 1) Introduction to Cyber Security 2) AWS Cloud Masterclass 3)Salesforce Developer Catalyst 4) Python Basics 5) Project Management Basics 𝗟𝗶𝗻𝗸 👇:- https://pdlink.in/4jQJfo5 Enroll For FREE & Get Certified🎓

Essentials for Acing any Data Analytics Interviews- SQL: 1. Beginner - Fundamentals: SELECT, WHERE, ORDER BY, GROUP BY, HAVING - Essential JOINS: INNER, LEFT, RIGHT, FULL - Basics of database and table creation 2. Intermediate - Aggregate functions: COUNT, SUM, AVG, MAX, MIN - Subqueries and nested queries - Common Table Expressions with the WITH clause - Conditional logic in queries using CASE statements 3. Advanced - Complex JOIN techniques: self-join, non-equi join - Window functions: OVER, PARTITION BY, ROW_NUMBER, RANK, DENSE_RANK, lead, lag - Query optimization through indexing - Manipulating data: INSERT, UPDATE, DELETE Python: 1. Basics - Understanding syntax, variables, and data types: integers, floats, strings, booleans - Control structures: if-else, loops (for, while) - Core data structures: lists, dictionaries, sets, tuples - Functions and error handling: lambda functions, try-except - Using modules and packages 2. Pandas & Numpy - DataFrames and Series: creation and manipulation - Techniques: indexing, selecting, filtering - Handling missing data with fillna and dropna - Data aggregation: groupby, data summarizing - Data merging techniques: merge, join, concatenate 3. Visualization - Plotting basics with Matplotlib: line plots, bar plots, histograms - Advanced visualization with Seaborn: scatter plots, box plots, pair plots - Plot customization: sizes, labels, legends, colors - Introduction to interactive visualizations with Plotly Excel: 1. Basics - Cell operations and basic formulas: SUMIFS, COUNTIFS, AVERAGEIFS - Charts and introductory data visualization - Data sorting and filtering, Conditional formatting 2. Intermediate - Advanced formulas: V/XLOOKUP, INDEX-MATCH, complex IF scenarios - Summarizing data with PivotTables and PivotCharts - Tools for data validation and what-if analysis: Data Tables, Goal Seek 3. Advanced - Utilizing array formulas and sophisticated functions - Building a Data Model & using Power Pivot - Advanced filtering, Slicers and Timelines in Pivot Tables - Crafting dynamic charts and interactive dashboards Power BI: 1. Data Modeling - Importing data from diverse sources - Creating and managing dataset relationships - Data modeling essentials: star schema, snowflake schema 2. Data Transformation - Data cleaning and transformation with Power Query - Advanced data shaping techniques - Implementing calculated columns and measures with DAX 3. Data Visualization and Reporting - Developing interactive reports and dashboards - Visualization types: bar, line, pie charts, maps - Report publishing and sharing, scheduling data refreshes Statistics: Mean, Median, Mode, Standard Deviation, Variance, Probability Distributions, Hypothesis Testing, P-values, Confidence Intervals, Correlation, Simple Linear Regression, Normal Distribution, Binomial Distribution, Poisson Distribution

Repost from Trump's Ear
George Soros said at the WEF that President Trump is a fraud and a complete narcissist who wants the world to revolve around him. #Soros #WEF #Trump 👂 More on Trump's Ear ⚠️

Machine learning Models.pdf2.35 KB

𝗠𝗮𝘀𝘁𝗲𝗿 𝗦𝗤𝗟 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 & 𝗨𝗻𝗹𝗼𝗰𝗸 𝗛𝗶𝗴𝗵-𝗣𝗮𝘆𝗶𝗻𝗴 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝗶𝗲𝘀!😍 Top 3 Free YouTube Pla
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Top 21 skills to learn this year 👇 1. Artificial Intelligence and Machine Learning: Understanding AI algorithms and applications. 2. Data Science: Proficiency in tools like Python/ R, Jupyter Notebook, and GitHub, with the ability to apply data science algorithms to solve real-world problems. 3. Cybersecurity: Protecting data and systems from cyber threats. 4. Cloud Computing: Proficiency in platforms like AWS, Azure, and Google Cloud. 5. Blockchain Technology: Understanding blockchain architecture and applications beyond cryptocurrencies. 6. Digital Marketing: Expertise in SEO, social media, and online advertising. 7. Programming: Skills in languages such as Python, JavaScript, and Go. 8. UX/UI Design: Creating intuitive and effective user interfaces and experiences. 9. Consulting: Expertise in providing strategic advice, improving business processes, and implementing solutions to drive business growth. 10. Data Analysis and Visualization: Proficiency in tools like Excel, SQL, Tableau, and Power BI to analyze and present data effectively. 11. Business Analysis & Project Management: Using tools and methodologies like Agile and Scrum. 12. Remote Work Tools: Proficiency in tools for remote collaboration and productivity. 13. Financial Literacy: Understanding personal finance, investment, and cryptocurrencies. 14. Emotional Intelligence: Skills in empathy, communication, and relationship management. 15. Business Acumen: A deep understanding of how businesses operate, including strategic thinking, market analysis, and financial literacy. 16. Investment Banking: Knowledge of financial markets, valuation methods, mergers and acquisitions, and financial modeling. 17. Mobile App Development: Skills in developing apps for iOS and Android using Swift, Kotlin, or React Native. 18. Financial Management: Proficiency in financial planning, analysis, and tools like QuickBooks and SAP. 19. Web Development: Proficiency in front-end and back-end development using HTML, CSS, JavaScript, and frameworks like React, Angular, and Node.js. 20. Data Engineering: Skills in designing, building, and maintaining data pipelines and architectures using tools like Hadoop, Spark, and Kafka. 21. Soft Skills: Improving leadership, teamwork, and adaptability skills. Join for more: 👇 https://t.me/free4unow_backup ENJOY LEARNING 👍👍

𝗟𝗲𝗮𝗿𝗻 𝗣𝘆𝘁𝗵𝗼𝗻 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 𝘄𝗶𝘁𝗵 𝗚𝗼𝗼𝗴𝗹𝗲’𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀!😍 You want to bre
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LLM Project Ideas for Resume 1️⃣ AI Image Captioning Train an LLM to generate accurate, context-aware image captions for better accessibility and engagement. 2️⃣ Large Text Analysis Use LLMs to summarize and extract key insights from massive text documents in various industries. 3️⃣ AI Code Generation Automate code snippet creation from natural language descriptions to boost developer productivity. 4️⃣ Text Completion Fine-tune LLMs for smarter text predictions in chatbots and content tools, enhancing user interactions.

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Javascript Mindmap ✅
Javascript Mindmap ✅