Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books
前往频道在 Telegram
Everything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_data
显示更多📈 Telegram 频道 Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books 的分析概览
频道 Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books (@programming_guide) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 56 109 名订阅者,在 技术与应用 类别中位列第 2 293,并在 印度 地区排名第 6 177 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 56 109 名订阅者。
根据 27 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 -67,过去 24 小时变化为 -10,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 1.80%。内容发布后 24 小时内通常能获得 0.72% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 1 008 次浏览,首日通常累积 402 次浏览。
- 互动与反馈: 受众积极参与,单帖平均反应数为 2。
- 主题关注点: 内容集中在 algorithm, structure, stack, javascript, programming 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:
“Everything about programming for beginners
* Python programming
* Java programming
* App development
* Machine Learning
* Data Science
Managed by: @love_data”
凭借高频更新(最新数据采集于 28 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。
56 109
订阅者
-1024 小时
-557 天
-6730 天
帖子存档
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Date :- October 30, 2025 Time:-7:00 PM
💡 10 Habits That Will Make You a Better Programmer in 2025
1) Write code every day
Consistency builds confidence. Even 30 minutes daily makes a difference.
2) Read others' code
Study open-source projects or solutions on GitHub. You'll learn new patterns and cleaner ways to solve problems.
3) Break problems into smaller parts
Don't jump in. Outline the logic step-by-step. Simpler structure means fewer bugs.
4) Learn to debug efficiently
Use print statements, breakpoints, and logs. Understand what your code is doing, not what you think it's doing.
5) Focus on fundamentals
Data structures and algorithms never go out of style. Master them.
6) Use version control (Git)
Track changes, collaborate smoothly, and avoid "final_final_v2_updatedFIXED" files.
7) Write clean, readable code
Follow naming conventions. Use meaningful function names and comments only when necessary.
8) Build real-world projects
Apply what you learn. Build apps, bots, tools—anything that solves a real problem.
9) Stay curious
Tech moves fast. Subscribe to dev newsletters, follow GitHub repos, and try new tools.
10) Ask better questions
Whether you're Googling or posting on forums, be clear. Show your thought process and what you've tried.
💬 Double Tap ♥️ For More
10 Tools for Web Developers 🛠🚀 -
💻 Visual Studio Code - Lightweight code editor
🔍 Postman - API development and testing
🎨 CodePen - Front-end development playground
🐙 GitHub - Version control and collaboration
🎨 Figma - UI/UX design and prototyping
📊 Google Analytics - Website traffic analysis
🌐 Netlify - Easy web hosting and deployment
🔒 Auth0 - Authentication and authorization
📦 Webpack - Module bundler for modern JavaScript apps
📦 NPM - Node package manager for JavaScript libraries and tools
React ❤️ for more
Top Coding Interview Questions 💻
📍 1. Two Sum Problem
Find two numbers in an array that add up to a target value.
Approach: Use a hash map to store complements for O(n) time.
📍 2. Reverse a Linked List
Reverse a singly linked list iteratively or recursively.
📍 3. Binary Tree Traversals
Implement Inorder, Preorder, and Postorder traversals (recursion or stack).
📍 4. Detect Cycle in a Linked List
Use Floyd’s Tortoise and Hare algorithm to detect if a loop exists.
📍 5. Merge Intervals
Given intervals, merge all overlapping intervals.
📍 6. Valid Parentheses
Use a stack to check for matching pairs of parentheses/brackets.
📍 7. Maximum Subarray Sum (Kadane’s Algorithm)
Find the contiguous subarray with the largest sum.
📍 8. Search in a Rotated Sorted Array
Modified binary search to find an element in a rotated sorted array.
📍 9. Implement Queue using Stacks
Use two stacks to simulate a queue’s FIFO behavior.
📍 🔟 Least Recently Used (LRU) Cache Implementation
Use a hashmap + doubly linked list for O(1) access and updates.
💡 Pro Tip: Master these core problems and practice explaining your thought process clearly. Also, get comfortable with coding on whiteboard or online editors.
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10 Python Mini Projects for Beginners
Guys, once you've got the basics of Python down, it’s time to build stuff!
Here are 10 mini project ideas that are fun, practical, and boost your confidence!
1. Number Guessing Game 🎯
The computer picks a number, and the user keeps guessing until they get it right.
Perfect to practice loops, conditionals, and user input.
2. Calculator App ➕➖✖️➗
Build a simple calculator that takes two numbers and performs addition, subtraction, multiplication, or division.
3. To-Do List (Console Version) ✅
Let users add, view, and delete tasks. Great to practice lists and file handling if you want to save tasks.
4. Password Generator 🔐
Create random passwords using letters, numbers, and symbols. Use the random and string modules.
5. Dice Rolling Simulator 🎲
Simulate rolling a die. Add cool features like rolling multiple dice or counting the frequency.
6. Rock Paper Scissors Game ✊✋✌️
Let the user play against the computer. Introduces randomness and conditional logic.
7. Quiz App ❓
Create a multiple-choice quiz that gives a score at the end. Store questions and answers using dictionaries.
8. Countdown Timer ⏱️
User inputs minutes or seconds, and the timer counts down to zero. Helps practice time.sleep().
9. Tip Calculator 🍽️
Calculate how much each person should pay including tip. Useful for string formatting and arithmetic.
10. Weather App (Using API) ☁️☀️🌧️
Use a public weather API to fetch real-time weather for a city. Great to explore APIs and the requests library.
For all resources and cheat sheets, check out my Telegram channel: https://t.me/pythonproz
Hope it helps :)
🤩 Quick Roadmaps to Learn 🤩
❤️ Javascript
https://roadmap.sh/javascript
❤️ Data Science
https://miro.medium.com/max/828/1*UQ9M5X6R1LVPzwc4bfnt9w.webp
❤️ Frontend development
https://i0.wp.com/css-tricks.com/wp-content/uploads/2018/07/modern-front-end-developer.png?ssl=1
❤️ Data Analyst Roadmap
https://t.me/sqlspecialist/379
❤️ AI/ML
https://i.am.ai/roadmap
List of Top 12 Coding Channels on WhatsApp:
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11. SQL:
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JS + React = Web Development
JS + Three.js = 3D Visualization
JS + Angular = Web Applications
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JS + Vue.js = Progressive Web Apps
JS + TensorFlow.js = Machine Learning
JS + Node.js = Server-Side Development
JS + Electron = DesktopApp Development
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🚀 Front-End Development Interview Topics
HTML & CSS
🔹 Semantic HTML
🔹 CSS Pre-Processors
🔹 CSS Specificity
🔹 Resetting & Normalizing CSS
🔹 CSS Architecture
🔹 SVGs
🔹 Media Queries
🔹 CSS Display Property
🔹 CSS Position Property
🔹 CSS Frameworks
🔹 Pseudo Classes
🔹 Sprites
JavaScript
🔹 Event Delegation
🔹 Attributes vs Properties
🔹 Ternary Operators
🔹 Promises vs Callbacks
🔹 Single Page Application
🔹 Higher-Order Functions
🔹 == vs ===
🔹 Mutable vs Immutable
🔹 'this'
🔹 Prototypal Inheritance
🔹 IFE (Immediately Invoked Function Expression)
🔹 Closure
🔹 Null vs Undefined
🔹 OOP vs Map
🔹 .call & .apply
🔹 Hoisting
🔹 Objects
🔹 Scope
🔹 JS Frameworks
Data Structures and Algorithms
🔹 Linked Lists
🔹 Hash Tables
🔹 Stacks
🔹 Queues
🔹 Trees
🔹 Graphs
🔹 Arrays
🔹 Bubble Sort
🔹 Binary Search
🔹 Selection Sort
🔹 Quick Sort
🔹 Insertion Sort
Front-End Topics
🔹 Performance
🔹 Unit Testing
🔹 End-to-End Testing (E2E)
🔹 Web Accessibility
🔹 CORS
🔹 SEO
🔹 REST
🔹 APIs
🔹 HTTP/HTTPS
🔹 GitHub
🔹 Task Runners
🔹 Browser APIs
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This will be a week-by-week series designed to make you interview-ready — covering core concepts, coding questions, and real interview scenarios asked by top companies.
Here’s what’s coming your way 👇
🔹 Week 1: Python Fundamentals (Beginner Level)
• Data types, variables & operators
• If-else, loops & functions
• Input/output & basic problem-solving
💡 *Practice:* Reverse string, Prime check, Factorial, Palindrome
🔹 Week 2: Data Structures in Python
• Lists, Tuples, Sets, Dictionaries
• Comprehensions (list, dict, set)
• Sorting, searching, and nested structures
💡 *Practice:* Frequency count, remove duplicates, find max/min
🔹 Week 3: Functions, Modules & File Handling
•
*args, *kwargs, lambda, map/filter/reduce
• File read/write, CSV handling
• Modules & imports
💡 *Practice:* Create custom functions, read data files, handle errors
🔹 Week 4: Object-Oriented Programming (OOP)
• Classes, objects, inheritance, polymorphism
• Encapsulation & abstraction
• Magic methods (__init__, __str__)
💡 *Practice:* Build a simple class like BankAccount or StudentSystem
🔹 Week 5: Exception Handling & Logging
• try-except-else-finally
• Custom exceptions
• Logging errors & debugging best practices
💡 *Practice:* File operations with proper error handling
🔹 Week 6: Advanced Python Concepts
• Decorators, generators, iterators
• Closures & context managers
• Shallow vs deep copy
💡 *Practice:* Create your own decorator, generator examples
🔹 Week 7: Pandas & NumPy for Data Analysis
• DataFrame basics, filtering & grouping
• Handling missing data
• NumPy arrays, slicing, and aggregation
💡 *Practice:* Analyze small CSV datasets
🔹 Week 8: Python for Analytics & Visualization
• Matplotlib, Seaborn basics
• Data summarization & correlation
• Building simple dashboards
💡 *Practice:* Visualize sales or user data
🔹 Week 9: Real Interview Questions (Intermediate–Advanced)
• 50+ Python interview questions with answers
• Common logical & coding tasks
• Real company-style questions (Infosys, TCS, Deloitte, etc.)
💡 *Practice:* Solve daily problem sets
🔹 Week 10: Final Interview Prep (Mock & Revision)
• End-to-end mock interviews
• Python project discussion tips
• Resume & GitHub portfolio guidance
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✅ Coding Snippets & Practice Tasks
✅ Real Interview Q&A
✅ Mini Quiz & Discussion
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👇 You can access it from here: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L/2099Here are some tricky🧩 SQL interview questions!
1. Find the second-highest salary in a table without using LIMIT or TOP.
2. Write a SQL query to find all employees who earn more than their managers.
3. Find the duplicate rows in a table without using GROUP BY.
4. Write a SQL query to find the top 10% of earners in a table.
5. Find the cumulative sum of a column in a table.
6. Write a SQL query to find all employees who have never taken a leave.
7. Find the difference between the current row and the next row in a table.
8. Write a SQL query to find all departments with more than one employee.
9. Find the maximum value of a column for each group without using GROUP BY.
10. Write a SQL query to find all employees who have taken more than 3 leaves in a month.
These questions are designed to test your SQL skills, including your ability to write efficient queries, think creatively, and solve complex problems.
Here are the answers to these questions:
1. SELECT MAX(salary) FROM table WHERE salary NOT IN (SELECT MAX(salary) FROM table)
2. SELECT e1.* FROM employees e1 JOIN employees e2 ON e1.manager_id = (link unavailable) WHERE e1.salary > e2.salary
3. SELECT * FROM table WHERE rowid IN (SELECT rowid FROM table GROUP BY column HAVING COUNT(*) > 1)
4. SELECT * FROM table WHERE salary > (SELECT PERCENTILE_CONT(0.9) WITHIN GROUP (ORDER BY salary) FROM table)
5. SELECT column, SUM(column) OVER (ORDER BY rowid) FROM table
6. SELECT * FROM employees WHERE id NOT IN (SELECT employee_id FROM leaves)
7. SELECT *, column - LEAD(column) OVER (ORDER BY rowid) FROM table
8. SELECT department FROM employees GROUP BY department HAVING COUNT(*) > 1
9. SELECT MAX(column) FROM table WHERE column NOT IN (SELECT MAX(column) FROM table GROUP BY group_column)
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🔥 Ultimate Coding Interview Cheat Sheet (2025 Edition)
✅ 1. Data Structures
Key Concepts:
• Arrays/Lists
• Strings
• Hashmaps (Dicts)
• Stacks & Queues
• Linked Lists
• Trees (BST, Binary)
• Graphs
• Heaps
Practice Questions:
• Reverse a string or array
• Detect duplicates in an array
• Find missing number
• Implement stack using queue
• Traverse binary tree (Inorder, Preorder)
✅ 2. Algorithms
Key Concepts:
• Sorting (Quick, Merge, Bubble)
• Searching (Binary search)
• Recursion
• Backtracking
• Divide & Conquer
• Greedy
• Dynamic Programming
Practice Questions:
• Fibonacci with DP
• Merge sort implementation
• N-Queens Problem
• Knapsack problem
• Coin change
✅ 3. Problem Solving Patterns
Important Patterns:
• Two Pointers
• Sliding Window
• Fast & Slow Pointer
• Recursion + Memoization
• Prefix Sum
• Binary Search on answer
Practice Questions:
• Longest Substring Without Repeat
• Max Sum Subarray of Size K
• Linked list cycle detection
• Peak Element
✅ 4. System Design Basics
Key Concepts:
• Scalability, Load Balancing
• Caching (Redis)
• Rate Limiting
• APIs and Databases
• CAP Theorem
• Consistency vs Availability
Practice Projects:
• Design URL shortener
• Design Twitter feed
• Design chat system (e.g., WhatsApp)
✅ 5. OOP & Programming Basics
Key Concepts:
• Classes & Objects
• Inheritance, Polymorphism
• Encapsulation, Abstraction
• SOLID Principles
Practice Projects:
• Design a Library System
• Implement Parking Lot
• Bank Account Simulation
✅ 6. SQL & Database Concepts
Key Concepts:
• Joins (INNER, LEFT, RIGHT)
• GROUP BY, HAVING
• Subqueries
• Window Functions
• Indexing
Practice Queries:
• Get top 3 salaries
• Find duplicate emails
• Most frequent orders per user
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📚 Top 10 HTML Interview Questions With Answers
1. What is HTML?
HTML (HyperText Markup Language) is the standard language used to create and design web pages. It structures content by using elements and tags.
2. What are the different types of HTML tags?
There are block-level tags (like
<div>, <p>, <h1>) which start on a new line, and inline tags (like <span>, <a>, <img>) which do not start on a new line.
3. What is the difference between HTML elements and tags?
A tag is the markup itself (e.g., <p>), while an element includes the opening tag, content, and closing tag (<p>Content</p>).
4. What are semantic HTML elements?
Semantic elements clearly describe their meaning in a human- and machine-readable way. Examples include <header>, <footer>, <article>, and <section>.
5. What is the purpose of the doctype declaration in HTML?
The <!DOCTYPE html> declaration defines the document type and version of HTML, helping browsers render the page correctly.
6. What are the different ways to include CSS in an HTML page?
CSS can be added via inline styles (style attribute), internal styles (<style> tag inside <head>), or external style sheets linked via <link> tag.
7. What is the difference between an ID and a Class in HTML?
ID is unique within a page and is used to identify a single element, while class can be assigned to multiple elements for styling or scripting.
8. How do you create a hyperlink in HTML?
Using the <a> tag with an href attribute, e.g., <a href="https://example.com">Link</a>.
9. What are HTML forms used for?
Forms collect user input and submit data to a server for processing, with tags like <form>, <input>, <textarea>, <button>, and more.
10. What is the role of the <meta> tag in HTML?
Meta tags provide metadata about the HTML document such as character set, page description, viewport settings, and SEO info.
Double Tap ♥️ For More✅ Step-by-Step Approach to Learn Programming 💻🚀
➊ Pick a Programming Language
Start with beginner-friendly languages that are widely used and have lots of resources.
✔ Python – Great for beginners, versatile (web, data, automation)
✔ JavaScript – Perfect for web development
✔ C++ / Java – Ideal if you're targeting DSA or competitive programming
Goal: Be comfortable with syntax, writing small programs, and using an IDE.
➋ Learn Basic Programming Concepts
Understand the foundational building blocks of coding:
✔ Variables, data types
✔ Input/output
✔ Loops (for, while)
✔ Conditional statements (if/else)
✔ Functions and scope
✔ Error handling
Tip: Use visual platforms like W3Schools, freeCodeCamp, or Sololearn.
➌ Understand Data Structures & Algorithms (DSA)
✔ Arrays, Strings
✔ Linked Lists, Stacks, Queues
✔ Hash Maps, Sets
✔ Trees, Graphs
✔ Sorting & Searching
✔ Recursion, Greedy, Backtracking
✔ Dynamic Programming
Use GeeksforGeeks, NeetCode, or Striver's DSA Sheet.
➍ Practice Problem Solving Daily
✔ LeetCode (real interview Qs)
✔ HackerRank (step-by-step)
✔ Codeforces / AtCoder (competitive)
Goal: Focus on logic, not just solutions.
➎ Build Mini Projects
✔ Calculator
✔ To-do list app
✔ Weather app (using APIs)
✔ Quiz app
✔ Rock-paper-scissors game
Projects solidify your concepts.
➏ Learn Git & GitHub
✔ Initialize a repo
✔ Commit & push code
✔ Branch and merge
✔ Host projects on GitHub
Must-have for collaboration.
➐ Learn Web Development Basics
✔ HTML – Structure
✔ CSS – Styling
✔ JavaScript – Interactivity
Then explore:
✔ React.js
✔ Node.js + Express
✔ MongoDB / MySQL
➑ Choose Your Career Path
✔ Web Dev (Frontend, Backend, Full Stack)
✔ App Dev (Flutter, Android)
✔ Data Science / ML
✔ DevOps / Cloud (AWS, Docker)
➒ Work on Real Projects & Internships
✔ Build a portfolio
✔ Clone real apps (Netflix UI, Amazon clone)
✔ Join hackathons
✔ Freelance or open source
✔ Apply for internships
➓ Stay Updated & Keep Improving
✔ Follow GitHub trends
✔ Dev YouTube channels (Fireship, etc.)
✔ Tech blogs (Dev.to, Medium)
✔ Communities (Discord, Reddit, X)
🎯 Remember:
• Consistency > Intensity
• Learn by building
• Debugging is learning
• Track progress weekly
Useful WhatsApp Channels to Learn Programming Languages
Python Programming: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L
JavaScript: https://whatsapp.com/channel/0029VavR9OxLtOjJTXrZNi32
C++ Programming: https://whatsapp.com/channel/0029VbBAimF4dTnJLn3Vkd3M
Java Programming: https://whatsapp.com/channel/0029VamdH5mHAdNMHMSBwg1s
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🎯 The Only SQL You Actually Need For Your First Data Analytics Job
🚫 Avoid the Learning Trap:
Watching 100+ tutorials but no hands-on practice.
✅ Reality:
75% of real SQL work boils down to these essentials:
1️⃣ SELECT, FROM, WHERE
⦁ Pick columns, tables, and filter rows
SELECT name, age FROM customers WHERE age > 30;
2️⃣ JOINs
⦁ Combine related tables (INNER JOIN, LEFT JOIN)
SELECT o.id, c.name FROM orders o JOIN customers c ON o.customer_id = c.id;
3️⃣ GROUP BY
⦁ Aggregate data by groups
SELECT country, COUNT(*) FROM users GROUP BY country;
4️⃣ ORDER BY
⦁ Sort results ascending or descending
SELECT name, score FROM students ORDER BY score DESC;
5️⃣ Aggregation Functions
⦁ COUNT(), SUM(), AVG(), MIN(), MAX()
SELECT AVG(salary) FROM employees;
6️⃣ ROW_NUMBER()
⦁ Rank rows within partitions
SELECT name,
ROW_NUMBER() OVER (PARTITION BY department ORDER BY salary DESC) AS rank
FROM employees;
💡 Final Tip:
Master these basics well, practice hands-on, and build up confidence!
Double Tap ♥️ For More𝗨𝗻𝗹𝗼𝗰𝗸 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝘁𝗶𝗲𝘀 𝗪𝗜𝘁𝗵 𝟱𝟬𝟬+ 𝗛𝗶𝗿𝗶𝗻𝗴 𝗣𝗮𝗿𝘁𝗻𝗲𝗿𝘀 😍
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