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Coding & AI Resources

Coding & AI Resources

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📈 تحلیل کانال تلگرام Coding & AI Resources

کانال Coding & AI Resources (@leadcoding) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 35 478 مشترک است و جایگاه 5 385 را در دسته آموزش و رتبه 11 852 را در منطقه الهند دارد.

📊 شاخص‌های مخاطب و پویایی

از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 35 478 مشترک جذب کرده است.

بر اساس آخرین داده‌ها در تاریخ 09 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 78 و در ۲۴ ساعت گذشته برابر 5 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.

  • وضعیت تأیید: تأیید نشده
  • نرخ تعامل (ER): میانگین تعامل مخاطب 3.27% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً N/A% واکنش نسبت به کل مشترکان کسب می‌کند.
  • دسترسی پست‌ها: هر پست به طور میانگین 1 160 بازدید دریافت می‌کند. در اولین روز معمولاً 0 بازدید جمع‌آوری می‌شود.
  • واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 5 است.
  • علایق موضوعی: محتوا بر موضوعات کلیدی مانند learning, link:-, element, programming, analytic تمرکز دارد.

📝 توضیح و سیاست محتوایی

نویسنده این فضا را محل بیان دیدگاه‌های شخصی توصیف می‌کند:
📚Get daily updates for : ✅ Free resources ✅ All Free notes ✅ Internship,Jobs and a lot more....😍 📍Join & Share this channel with your friends and college mates ❤️ Managed by: @love_data Buy ads: https://telega.io/c/leadcoding

به لطف به‌روزرسانی‌های پرتکرار (آخرین داده در تاریخ 10 ژوئن, 2026)، کانال همواره به‌روز و دارای دسترسی بالاست. تحلیل‌ها نشان می‌دهد مخاطبان به‌طور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته آموزش تبدیل کرده‌اند.

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Here is an A-Z list of essential programming terms: 1. Array: A data structure that stores a collection of elements of the same type in contiguous memory locations. 2. Boolean: A data type that represents true or false values. 3. Conditional Statement: A statement that executes different code based on a condition. 4. Debugging: The process of identifying and fixing errors or bugs in a program. 5. Exception: An event that occurs during the execution of a program that disrupts the normal flow of instructions. 6. Function: A block of code that performs a specific task and can be called multiple times in a program. 7. GUI (Graphical User Interface): A visual way for users to interact with a computer program using graphical elements like windows, buttons, and menus. 8. HTML (Hypertext Markup Language): The standard markup language used to create web pages. 9. Integer: A data type that represents whole numbers without any fractional part. 10. JSON (JavaScript Object Notation): A lightweight data interchange format commonly used for transmitting data between a server and a web application. 11. Loop: A programming construct that allows repeating a block of code multiple times. 12. Method: A function that is associated with an object in object-oriented programming. 13. Null: A special value that represents the absence of a value. 14. Object-Oriented Programming (OOP): A programming paradigm based on the concept of "objects" that encapsulate data and behavior. 15. Pointer: A variable that stores the memory address of another variable. 16. Queue: A data structure that follows the First-In-First-Out (FIFO) principle. 17. Recursion: A programming technique where a function calls itself to solve a problem. 18. String: A data type that represents a sequence of characters. 19. Tuple: An ordered collection of elements, similar to an array but immutable. 20. Variable: A named storage location in memory that holds a value. 21. While Loop: A loop that repeatedly executes a block of code as long as a specified condition is true. Best Programming Resources: https://topmate.io/coding/898340 Join for more: https://t.me/programming_guide ENJOY LEARNING 👍👍

Harvard University just released free online courses. No payment is required 👇 1.  Introduction to CS50 programming using Scratch : https://t.co/L1wbhAocmV 2.  Data Science: Machine Learning: https://t.co/o2knJrIVe4 3.  CS50 Introduction to Computer Science for Business Professionals: https://t.co/k6uwSb3Nsd 4.  Introduction to data science with Python: https://t.co/UuyRkUJSYV 5.  CS50 course to understand technology : https://t.co/CsWW1vn3b0 6.  Explore the basics of Python in Harvard’s CS50 course : https://t.co/dvgQN7axop 7.  Introduction to Development Learn practical lessons in developing 2D and 3D interactive games: https://t.co/rKPpbgFRJZ 8.  Web programming using Python and JavaScript : https://t.co/W4XZH0BvEL 9.  Use React Native for mobile app development : https://t.co/ZVqk56N0lV 10.  Introduction to artificial intelligence in CS50 using Python : https://t.co/8zWHvi5kry 11.  Introduction to computer science : https://t.co/UI3AKLP3pu 12. Artificial Intelligence in Business: https://t.co/irFfEstg0P

🚀 Agentic AI is exploding, but which framework should you bet on? If you’ve tried building AI agents, you know the options are multiplying: LangGraph, LangChain, Autogen, CrewAI, Make.com, n8n… but they’re not interchangeable. Here’s how to make sense of the chaos: 🦜🔄 𝗟𝗮𝗻𝗴𝗚𝗿𝗮𝗽𝗵 Think enterprise-grade orchestration. Graph-based, stateful, long-running workflows with loops, branching, and persistent memory. Perfect when your agent system needs durability + complexity. 🦜🔗 LangChain The OG. Great for chaining prompts, tools, and RAG. If you just need a chatbot, simple agent, or MVP, start here. 🟥🟦🟩🟨 AutogenAI (Microsoft) Built for multi-agent collaboration. If you want agents to negotiate, coordinate, and tackle big tasks together, this is your go-to. 🤖 CrewAI Lightweight and flexible. Assemble “crews” of role-specific agents quickly, while keeping granular control. Fast deployments, minimal dependencies. 🥢 Make Visual, no-code automation for business users. Connect AI to CRMs, reports, SaaS tools—without writing a single line of code. 🟣🔄🟤 n8n Open-source, node-based automation. Great for RAG-powered workflows and deep data integrations with a visual touch. 💡 Bottom line: ▪️Want enterprise complexity? → LangGraph ▪️Need fast AI app prototyping? → LangChain ▪️Building collaboratively? → Autogen or CrewAI ▪️Prefer drag-and-drop ? → Make.com or n8n The right choice depends on your workflow complexity, control needs, and dev resources. Agentic AI is not one-size-fits-all!

DSA revision Guide 🚀 React ❤️ For More

Planning for Data Science or Data Engineering Interview. Focus on SQL & Python first. Here are some important questions which you should know. 𝐈𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭 𝐒𝐐𝐋 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 1- Find out nth Order/Salary from the tables. 2- Find the no of output records in each join from given Table 1 & Table 2 3- YOY,MOM Growth related questions. 4- Find out Employee ,Manager Hierarchy (Self join related question) or Employees who are earning more than managers. 5- RANK,DENSERANK related questions 6- Some row level scanning medium to complex questions using CTE or recursive CTE, like (Missing no /Missing Item from the list etc.) 7- No of matches played by every team or Source to Destination flight combination using CROSS JOIN. 8-Use window functions to perform advanced analytical tasks, such as calculating moving averages or detecting outliers. 9- Implement logic to handle hierarchical data, such as finding all descendants of a given node in a tree structure. 10-Identify and remove duplicate records from a table. 𝐈𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭 𝐏𝐲𝐭𝐡𝐨𝐧 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 1- Reversing a String using an Extended Slicing techniques. 2- Count Vowels from Given words . 3- Find the highest occurrences of each word from string and sort them in order. 4- Remove Duplicates from List. 5-Sort a List without using Sort keyword. 6-Find the pair of numbers in this list whose sum is n no. 7-Find the max and min no in the list without using inbuilt functions. 8-Calculate the Intersection of Two Lists without using Built-in Functions 9-Write Python code to make API requests to a public API (e.g., weather API) and process the JSON response. 10-Implement a function to fetch data from a database table, perform data manipulation, and update the database. Join for more: https://t.me/datasciencefun ENJOY LEARNING 👍👍

🤡Most crypto channels just throw charts and hype at you. This one gives clear, real moves instead. Know what to buy, when to
🤡Most crypto channels just throw charts and hype at you. This one gives clear, real moves instead. Know what to buy, when to sell, and how to avoid costly mistakes. New to crypto or already trading? Get clear moves, not noise. 👉 Join now and trade smarter: https://t.me/+3xRw-RoEHhk0ZDJi

🔗 Complete Machine Learning Handwritten Notes 📝

photo content

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📚 Title: TensorFlow 2 Pocket Reference (2021)

🤖 CHATGPT PROMPTS TO FINISH HOURS OF WORK IN SECONDS
🤖 CHATGPT PROMPTS TO FINISH HOURS OF WORK IN SECONDS

🔰 Solve the "Two sum" problem in python
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🔰 Solve the "Two sum" problem in python

75 Most Asked DSA interview questions 👨‍💻 React ❤️ for more 😊

Interviewer: How to make sure that, one service should not make the whole system down? Developer: By building Fault tolerance
Interviewer: How to make sure that, one service should not make the whole system down? Developer: By building Fault tolerance in Microservices. This can be achieved via Resilience4j. It provides many mechanism like RateLimiter, TimeLimiter, Bulkhead, CircuitBreaker, Retry etc.

Basic Javascript Cheatsheets pdf saave it for later .pdf3.31 MB

✌️ 25 Javascript Path Files Used To Store Sensitive Information In Web Application:- 1️⃣ /js/config.js 2️⃣ /js/credentials.js 3️⃣ /js/secrets.js 4️⃣ /js/keys.js 5️⃣ /js/password.js 6️⃣ /js/api_keys.js 7️⃣/js/auth_tokens.js 8️⃣/js/access_tokens.js 9️⃣/js/sessions.js ♾ 1️⃣ /js/authorization.js 2️⃣ /js/encryption.js 3️⃣ /js/certificates.js 4️⃣ /js/ssl_keys.js 5️⃣ /js/passphrases.js 6️⃣ /js/policies.js 7️⃣ /js/permissions.js 8️⃣ /js/privileges.js 9️⃣ /js/hashes.js ♾ 1️⃣ /js/salts.js 2️⃣ /js/nonces.js 3️⃣ js/signatures.js 4️⃣ js/digests.js 5️⃣ js/tokens.js 6️⃣ js/cookies.js 7️⃣ /js/topsecr3tdonotlook.js

5 beginner-friendly web development projects that can help you improve your skills 1. Personal Website or Portfolio:    - Create a website that showcases your resume, projects, and skills.    - Practice HTML and CSS to design the layout and style it. 2. To-Do List Application:    - Build a simple to-do list app using HTML, CSS, and JavaScript.    - Learn about DOM manipulation, event handling, and local storage. 3. Weather App:    - Develop a web app that fetches and displays weather information for a user's location.    - Use HTML, CSS, JavaScript, and APIs like OpenWeatherMap. 4. Blog or Blogging Platform:    - Create a basic blog or expand it into a blogging platform.    - Learn about databases (e.g., SQLite), server-side scripting (e.g., Node.js), and user authentication. 5. E-commerce Product Page:    - Design a product page for an e-commerce site.    - Practice building product grids, adding product details, and implementing a shopping cart feature. These projects cover a range of web development skills, from front-end design to back-end development. As you work on them, you'll gain experience and confidence in web development.

Api testing Complete Guide🔥 React ❤️ For More

Hi [Name], I hope this message finds you well. My name is [Your Name], and I recently graduated with a degree in [Your Degree] from [Your University]. I am passionate about data analytics and have developed a strong foundation through my coursework and practical projects. I am currently seeking opportunities to start my career as a Data Analyst and came across the exciting roles at [Company Name]. I am reaching out to you because I admire your professional journey and expertise in the field of data analytics. Your role at [Company Name] is particularly inspiring, and I am very interested in contributing to such an innovative and dynamic team. I am confident that my skills and enthusiasm would make me a valuable addition to this role [Job ID / Link]. If possible, I would be incredibly grateful for your referral or any advice you could offer on how to best position myself for this opportunity. Thank you very much for considering my request. I understand how busy you must be and truly appreciate any assistance you can provide. Best regards, [Your Full Name] [Your Email Address]

Template to ask for referrals (For freshers) 👇👇

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