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Coding & AI Resources

Coding & AI Resources

前往频道在 Telegram

📚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

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📈 Telegram 频道 Coding & AI Resources 的分析概览

频道 Coding & AI Resources (@leadcoding) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 35 281 名订阅者,在 教育 类别中位列第 5 392,并在 印度 地区排名第 11 107 位。

📊 受众指标与增长动态

自 невідомо 创建以来,项目保持高速增长,吸引了 35 281 名订阅者。

根据 28 十月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 -129,过去 24 小时变化为 1,整体触达仍然可观。

  • 认证状态: 未认证
  • 互动率 (ER): 平均受众互动率为 2.06%。内容发布后 24 小时内通常能获得 0.75% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 728 次浏览,首日通常累积 266 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 3。
  • 主题关注点: 内容集中在 learning, link:-, element, programming, analytic 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台:
“📚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”

凭借高频更新(最新数据采集于 29 十月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 教育 类别中的关键影响点。

35 281
订阅者
+124 小时
-427 天
-12930 天
帖子存档
Master Javascript : The JavaScript Tree 👇 | |── Variables | ├── var | ├── let | └── const | |── Data Types | ├── String | ├── Number | ├── Boolean | ├── Object | ├── Array | ├── Null | └── Undefined | |── Operators | ├── Arithmetic | ├── Assignment | ├── Comparison | ├── Logical | ├── Unary | └── Ternary (Conditional) ||── Control Flow | ├── if statement | ├── else statement | ├── else if statement | ├── switch statement | ├── for loop | ├── while loop | └── do-while loop | |── Functions | ├── Function declaration | ├── Function expression | ├── Arrow function | └── IIFE (Immediately Invoked Function Expression) | |── Scope | ├── Global scope | ├── Local scope | ├── Block scope | └── Lexical scope ||── Arrays | ├── Array methods | | ├── push() | | ├── pop() | | ├── shift() | | ├── unshift() | | ├── splice() | | ├── slice() | | └── concat() | └── Array iteration | ├── forEach() | ├── map() | ├── filter() | └── reduce()| |── Objects | ├── Object properties | | ├── Dot notation | | └── Bracket notation | ├── Object methods | | ├── Object.keys() | | ├── Object.values() | | └── Object.entries() | └── Object destructuring ||── Promises | ├── Promise states | | ├── Pending | | ├── Fulfilled | | └── Rejected | ├── Promise methods | | ├── then() | | ├── catch() | | └── finally() | └── Promise.all() | |── Asynchronous JavaScript | ├── Callbacks | ├── Promises | └── Async/Await | |── Error Handling | ├── try...catch statement | └── throw statement | |── JSON (JavaScript Object Notation) ||── Modules | ├── import | └── export | |── DOM Manipulation | ├── Selecting elements | ├── Modifying elements | └── Creating elements | |── Events | ├── Event listeners | ├── Event propagation | └── Event delegation | |── AJAX (Asynchronous JavaScript and XML) | |── Fetch API ||── ES6+ Features | ├── Template literals | ├── Destructuring assignment | ├── Spread/rest operator | ├── Arrow functions | ├── Classes | ├── let and const | ├── Default parameters | ├── Modules | └── Promises | |── Web APIs | ├── Local Storage | ├── Session Storage | └── Web Storage API | |── Libraries and Frameworks | ├── React | ├── Angular | └── Vue.js ||── Debugging | ├── Console.log() | ├── Breakpoints | └── DevTools | |── Others | ├── Closures | ├── Callbacks | ├── Prototypes | ├── this keyword | ├── Hoisting | └── Strict mode | | END __

🎥 Top 7 YouTube Channels to Get Smarter in AI If you want to truly understand how neural networks, LLMs, and generative AI w
🎥 Top 7 YouTube Channels to Get Smarter in AI If you want to truly understand how neural networks, LLMs, and generative AI work, these 7 channels will level up your AI knowledge fast: 🖱 3Blue1Brown — visual math that makes neural networks intuitive, not intimidating. 🖱 Two Minute Papers — cutting-edge research explained in bite-sized videos. 🖱 Yannic Kilcher — deep analysis of AI papers, trends, and model architectures. 🖱 Lex Fridman — long-form interviews with leading AI researchers and founders. 🖱 Sentdex — hands-on tutorials in Python, machine learning, and PyTorch. 🖱 Henry AI Labs — analytical breakdowns of new research and open models. 🖱 DeepLearningAI — Andrew Ng’s official channel for practical AI courses and case studies.
Each of these channels helps you stay sharp and fluent in the language of modern AI, from math to models to mindset.

✅ AI Career Paths & Skills to Master 🤖🚀💼 🔹 1️⃣ Machine Learning Engineer 🔧 Role: Build & deploy ML models 🧠 Skills: Python, TensorFlow/PyTorch, Data Structures, SQL, Cloud (AWS/GCP) 🔹 2️⃣ Data Scientist 🔧 Role: Analyze data & create predictive models 🧠 Skills: Statistics, Python/R, Pandas, NumPy, Data Viz, ML 🔹 3️⃣ NLP Engineer 🔧 Role: Chatbots, text analysis, speech recognition 🧠 Skills: spaCy, Hugging Face, Transformers, Linguistics basics 🔹 4️⃣ Computer Vision Engineer 🔧 Role: Image/video processing, facial recognition, AR/VR 🧠 Skills: OpenCV, YOLO, CNNs, Deep Learning 🔹 5️⃣ AI Product Manager 🔧 Role: Oversee AI product strategy & development 🧠 Skills: Product Mgmt, Business Strategy, Data Analysis, Basic ML 🔹 6️⃣ Robotics Engineer 🔧 Role: Design & program industrial robots 🧠 Skills: ROS, Embedded Systems, C++, Path Planning 🔹 7️⃣ AI Research Scientist 🔧 Role: Innovate new AI models & algorithms 🧠 Skills: Advanced Math, Deep Learning, RL, Research papers 🔹 8️⃣ MLOps Engineer 🔧 Role: Deploy & manage ML models at scale 🧠 Skills: Docker, Kubernetes, MLflow, CI/CD, Cloud Platforms 💡 Pro Tip: Start with Python & math, then specialize! 👍 Tap ❤️ for more! #ai #careers #machinelearning #datascience #artificialintelligence #engineer

React Developer Roadmap 🎯 Follow the proven path to React expertise! Our channel provides structured learning materials, pra
React Developer Roadmap 🎯
Follow the proven path to React expertise! Our channel provides structured learning materials, practical examples, and real-world projects that take you from zero to full-stack React developer. Join our community of passionate developers building the future of web.

Free Session to learn AI & ChatGPT 👇👇 https://tinyurl.com/39ssvsra You will also get certificate after participating in the session Like for more free AI Live sessions

10 Simple Habits to Improve Your Coding Skills 🧠💻 🔥 Practice regularly, not just when you're stuck 🔥 Build small projects to apply what you learn 🔥 Review and refactor your old code 🔥 Join coding communities or forums 🔥 Follow coding channels and blogs 🔥 Take part in coding challenges (e.g., LeetCode, HackerRank) 🔥 Keep a code journal or notes 🔥 Learn version control (Git is your friend!) 🔥 Teach someone else — it deepens your understanding 🔥 Stay curious & never stop learning 💬 React "❤️" for more!

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 👍👍

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🤡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