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Artificial Intelligence & ChatGPT Prompts

Artificial Intelligence & ChatGPT Prompts

前往频道在 Telegram

🔓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

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📈 Telegram 频道 Artificial Intelligence & ChatGPT Prompts 的分析概览

频道 Artificial Intelligence & ChatGPT Prompts (@curiousprogrammer) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 42 290 名订阅者,在 技术与应用 类别中位列第 3 079,并在 印度 地区排名第 8 954

📊 受众指标与增长动态

невідомо 创建以来,项目保持高速增长,吸引了 42 290 名订阅者。

根据 30 八月, 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 56,过去 24 小时变化为 19,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 1.51%。内容发布后 24 小时内通常能获得 0.68% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 640 次浏览,首日通常累积 287 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, algorithm, detection, llm, pattern 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:
🔓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

凭借高频更新(最新数据采集于 31 八月, 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 技术与应用 类别中的关键影响点。

42 290
订阅者
+1924 小时
+47
+5630
帖子存档
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📊 Data Science Essentials: What Every Data Enthusiast Should Know! 1️⃣ Understand Your Data Always start with data exploration. Check for missing values, outliers, and overall distribution to avoid misleading insights. 2️⃣ Data Cleaning Matters Noisy data leads to inaccurate predictions. Standardize formats, remove duplicates, and handle missing data effectively. 3️⃣ Use Descriptive & Inferential Statistics Mean, median, mode, variance, standard deviation, correlation, hypothesis testing—these form the backbone of data interpretation. 4️⃣ Master Data Visualization Bar charts, histograms, scatter plots, and heatmaps make insights more accessible and actionable. 5️⃣ Learn SQL for Efficient Data Extraction Write optimized queries (SELECT, JOIN, GROUP BY, WHERE) to retrieve relevant data from databases. 6️⃣ Build Strong Programming Skills Python (Pandas, NumPy, Scikit-learn) and R are essential for data manipulation and analysis. 7️⃣ Understand Machine Learning Basics Know key algorithms—linear regression, decision trees, random forests, and clustering—to develop predictive models. 8️⃣ Learn Dashboarding & Storytelling Power BI and Tableau help convert raw data into actionable insights for stakeholders. 🔥 Pro Tip: Always cross-check your results with different techniques to ensure accuracy! Data Science Learning Series: https://whatsapp.com/channel/0029Va8v3eo1NCrQfGMseL2D DOUBLE TAP ❤️ IF YOU FOUND THIS HELPFUL!

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DSA (Data Structures and Algorithms) Essential Topics for Interviews 1️⃣ Arrays and Strings Basic operations (insert, delete, update) Two-pointer technique Sliding window Prefix sum Kadane’s algorithm Subarray problems 2️⃣ Linked List Singly & Doubly Linked List Reverse a linked list Detect loop (Floyd’s Cycle) Merge two sorted lists Intersection of linked lists 3️⃣ Stack & Queue Stack using array or linked list Queue and Circular Queue Monotonic Stack/Queue LRU Cache (LinkedHashMap/Deque) Infix to Postfix conversion 4️⃣ Hashing HashMap, HashSet Frequency counting Two Sum problem Group Anagrams Longest Consecutive Sequence 5️⃣ Recursion & Backtracking Base cases and recursive calls Subsets, permutations N-Queens problem Sudoku solver Word search 6️⃣ Trees & Binary Trees Traversals (Inorder, Preorder, Postorder) Height and Diameter Balanced Binary Tree Lowest Common Ancestor (LCA) Serialize & Deserialize Tree 7️⃣ Binary Search Trees (BST) Search, Insert, Delete Validate BST Kth smallest/largest element Convert BST to DLL 8️⃣ Heaps & Priority Queues Min Heap / Max Heap Heapify Top K elements Merge K sorted lists Median in a stream 9️⃣ Graphs Representations (adjacency list/matrix) DFS, BFS Cycle detection (directed & undirected) Topological Sort Dijkstra’s & Bellman-Ford algorithm Union-Find (Disjoint Set) 10️⃣ Dynamic Programming (DP) 0/1 Knapsack Longest Common Subsequence Matrix Chain Multiplication DP on subsequences Memoization vs Tabulation 11️⃣ Greedy Algorithms Activity selection Huffman coding Fractional knapsack Job scheduling 12️⃣ Tries Insert and search a word Word search Auto-complete feature 13️⃣ Bit Manipulation XOR, AND, OR basics Check if power of 2 Single Number problem Count set bits Coding Interview Resources: https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X ENJOY LEARNING 👍👍

𝟭𝟬𝟬𝟬+ 𝗙𝗿𝗲𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗯𝘆 𝗜𝗻𝗳𝗼𝘀𝘆𝘀 – 𝗟𝗲𝗮𝗿𝗻, 𝗚𝗿𝗼𝘄, 𝗦𝘂𝗰𝗰𝗲𝗲𝗱!😍 🚀 Looking
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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 __

𝟲 𝗙𝗿𝗲𝗲 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 𝘁𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗘𝘅𝗰𝗲𝗹, 𝗦𝗤𝗟 & 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜😍 💡Want to master Excel, SQL, and Powe
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𝟳 𝗙𝗿𝗲𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗨𝗽𝗴𝗿𝗮𝗱𝗲 𝗬𝗼𝘂𝗿 𝗥𝗲𝘀𝘂𝗺𝗲 𝗶𝗻 𝟮𝟬𝟮𝟱 𝗮𝗻𝗱 𝗦𝘁𝗮𝗻𝗱 𝗢𝘂𝘁😍 🚀 Want to Make
𝟳 𝗙𝗿𝗲𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗨𝗽𝗴𝗿𝗮𝗱𝗲 𝗬𝗼𝘂𝗿 𝗥𝗲𝘀𝘂𝗺𝗲 𝗶𝗻 𝟮𝟬𝟮𝟱 𝗮𝗻𝗱 𝗦𝘁𝗮𝗻𝗱 𝗢𝘂𝘁😍 🚀 Want to Make Your Resume Stand Out in 2025?✨️ If you’re aiming to boost your chances in job interviews or want to upgrade your resume with powerful, in-demand skills — start with these 7 free online courses👨‍💻📌 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3SJ91OV Empower yourself and take your career to the next level! ✅

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Python Roadmap for 2025: Complete Guide 1. Python Fundamentals 1.1 Variables, constants, and comments. 1.2 Data types: int, float, str, bool, complex. 1.3 Input and output (input(), print(), formatted strings). 1.4 Python syntax: Indentation and code structure. 2. Operators 2.1 Arithmetic: +, -, *, /, %, //, **. 2.2 Comparison: ==, !=, <, >, <=, >=. 2.3 Logical: and, or, not. 2.4 Bitwise: &, |, ^, ~, <<, >>. 2.5 Identity: is, is not. 2.6 Membership: in, not in. 3. Control Flow 3.1 Conditional statements: if, elif, else. 3.2 Loops: for, while. 3.3 Loop control: break, continue, pass. 4. Data Structures 4.1 Lists: Indexing, slicing, methods (append(), pop(), sort(), etc.). 4.2 Tuples: Immutability, packing/unpacking. 4.3 Dictionaries: Key-value pairs, methods (get(), items(), etc.). 4.4 Sets: Unique elements, set operations (union, intersection). 4.5 Strings: Immutability, methods (split(), strip(), replace()). 5. Functions 5.1 Defining functions with def. 5.2 Arguments: Positional, keyword, default, *args, **kwargs. 5.3 Anonymous functions (lambda). 5.4 Recursion. 6. Modules and Packages 6.1 Importing: import, from ... import. 6.2 Standard libraries: math, os, sys, random, datetime, time. 6.3 Installing external libraries with pip. 7. File Handling 7.1 Open and close files (open(), close()). 7.2 Read and write (read(), write(), readlines()). 7.3 Using context managers (with open(...)). 8. Object-Oriented Programming (OOP) 8.1 Classes and objects. 8.2 Methods and attributes. 8.3 Constructor (init). 8.4 Inheritance, polymorphism, encapsulation. 8.5 Special methods (str, repr, etc.). 9. Error and Exception Handling 9.1 try, except, else, finally. 9.2 Raising exceptions (raise). 9.3 Custom exceptions. 10. Comprehensions 10.1 List comprehensions. 10.2 Dictionary comprehensions. 10.3 Set comprehensions. 11. Iterators and Generators 11.1 Creating iterators using iter() and next(). 11.2 Generators with yield. 11.3 Generator expressions. 12. Decorators and Closures 12.1 Functions as first-class citizens. 12.2 Nested functions. 12.3 Closures. 12.4 Creating and applying decorators. 13. Advanced Topics 13.1 Context managers (with statement). 13.2 Multithreading and multiprocessing. 13.3 Asynchronous programming with async and await. 13.4 Python's Global Interpreter Lock (GIL). 14. Python Internals 14.1 Mutable vs immutable objects. 14.2 Memory management and garbage collection. 14.3 Python's name == "main" mechanism. 15. Libraries and Frameworks 15.1 Data Science: NumPy, Pandas, Matplotlib, Seaborn. 15.2 Web Development: Flask, Django, FastAPI. 15.3 Testing: unittest, pytest. 15.4 APIs: requests, http.client. 15.5 Automation: selenium, os. 15.6 Machine Learning: scikit-learn, TensorFlow, PyTorch. 16. Tools and Best Practices 16.1 Debugging: pdb, breakpoints. 16.2 Code style: PEP 8 guidelines. 16.3 Virtual environments: venv. 16.4 Version control: Git + GitHub. 👇 Python Interview 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 https://t.me/dsabooks 📘 𝗣𝗿𝗲𝗺𝗶𝘂𝗺 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 : https://topmate.io/coding/914624 📙 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲: https://whatsapp.com/channel/0029VaxbzNFCxoAmYgiGTL3Z Join What's app channel for jobs updates: t.me/getjobss

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