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 56 115 名订阅者,在 技术与应用 类别中位列第 2 283,并在 印度 地区排名第 6 099 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 56 115 名订阅者。
根据 29 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 -86,过去 24 小时变化为 0,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 1.79%。内容发布后 24 小时内通常能获得 0.70% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 1 007 次浏览,首日通常累积 395 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 30 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。
56 115
订阅者
无数据24 小时
-457 天
-8630 天
帖子存档
𝗧𝗼𝗽 𝟱 𝗪𝗲𝗯𝘀𝗶𝘁𝗲𝘀 𝘁𝗼 𝗟𝗲𝗮𝗿𝗻 𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁 𝗶𝗻 𝟮𝟬𝟮𝟱😍
Learning JavaScript doesn’t have to be boring anymore!💫
If endless tutorials make your eyes glaze over, we’ve got just the thing — these super fun & interactive platforms turn learning JavaScript into a game👨💻
𝐋𝐢𝐧𝐤👇:-
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Perfect for daily practice, weekend sprints, or anyone who learns better with hands-on interaction!9✅️
List of Top 12 Coding Channels on WhatsApp:
1. Python Programming:
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2. Coding Resources:
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10. Machine Learning:
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11. SQL:
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12. GitHub:
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ENJOY LEARNING 👍👍
SQL CHEAT SHEET👩💻
Here is a quick cheat sheet of some of the most essential SQL commands:
SELECT - Retrieves data from a database
UPDATE - Updates existing data in a database
DELETE - Removes data from a database
INSERT - Adds data to a database
CREATE - Creates an object such as a database or table
ALTER - Modifies an existing object in a database
DROP -Deletes an entire table or database
ORDER BY - Sorts the selected data in an ascending or descending order
WHERE – Condition used to filter a specific set of records from the database
GROUP BY - Groups a set of data by a common parameter
HAVING - Allows the use of aggregate functions within the query
JOIN - Joins two or more tables together to retrieve data
INDEX - Creates an index on a table, to speed up search times.
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Skills to become a successful web developer💯👨🏻💻
1. HTML/CSS Basics 📄🎨
Master the building blocks of the web.
2. JavaScript 💻⚡
Add interactivity and dynamic content to your sites.
3. Responsive Design 📱🌍
Ensure your sites look great on all devices!
4. Version Control (Git) 🛠️🔄
Track changes and collaborate with ease.
5. Frameworks (React, Angular, etc) 🚀🛠️
Speed up development with powerful tools.
6. Backend Languages (Node.js, Python, etc)🐍💻
Handle server-side logic and databases.
7. APIs 🔗📡
Connect and integrate with other services.
8. Problem-Solving Skills 🧩🤔
Tackle challenges creatively and efficiently.
9. Testing/Debugging 🔍🐞
Ensure your code runs smoothly and bug-free.
10. Soft Skills (Communication, Teamwork) 🗣️🤝
Work effectively with others and convey ideas clearly.
11. Continuous Learning 📚✨
Stay updated with the latest technologies and trends.
Web Development Best Resources: https://topmate.io/coding/930165
ENJOY LEARNING 👍👍
#webdev
Repost from SQL Programming Resources
𝟰 𝗕𝗲𝘀𝘁 𝗙𝗿𝗲𝗲 𝗦𝗤𝗟 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝘁𝗼 𝗟𝗲𝗮𝗿𝗻 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀😍
Want to break into Data Analytics?💫
It all starts with SQL — the language every data analyst needs to master. Whether you’re analyzing trends, pulling business reports, or cleaning datasets, SQL is at the heart of it all👨💻📌
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/44oj5Ds
Perfect for students, freshers, job seekers, or anyone transitioning into tech✅️
Don't overwhelm to learn JavaScript, JavaScript is only this much
1.Variables
• var
• let
• const
2. Data Types
• number
• string
• boolean
• null
• undefined
• symbol
3.Declaring variables
• var
• let
• const
4.Expressions
Primary expressions
• this
• Literals
• []
• {}
• function
• class
• function*
• async function
• async function*
• /ab+c/i
• string
• ( )
Left-hand-side expressions
• Property accessors
• ?.
• new
• new .target
• import.meta
• super
• import()
5.operators
• Arithmetic Operators: +, -, *, /, %
• Comparison Operators: ==, ===, !=, !==, <, >, <=, >=
• Logical Operators: &&, ||, !
6.Control Structures
• if
• else if
• else
• switch
• case
• default
7.Iterations/Loop
• do...while
• for
• for...in
• for...of
• for await...of
• while
8.Functions
• Arrow Functions
• Default parameters
• Rest parameters
• arguments
• Method definitions
• getter
• setter
9.Objects and Arrays
• Object Literal: { key: value }
• Array Literal: [element1, element2, ...]
• Object Methods and Properties
• Array Methods: push(), pop(), shift(), unshift(),
splice(), slice(), forEach(), map(), filter()
10.Classes and Prototypes
• Class Declaration
• Constructor Functions
• Prototypal Inheritance
• extends keyword
• super keyword
• Private class features
• Public class fields
• static
• Static initialization blocks
11.Error Handling
• try,
• catch,
• finally (exception handling)
ADVANCED CONCEPTS
12.Closures
• Lexical Scope
• Function Scope
• Closure Use Cases
13.Asynchronous JavaScript
• Callback Functions
• Promises
• async/await Syntax
• Fetch API
• XMLHttpRequest
14.Modules
• import and export Statements (ES6 Modules)
• CommonJS Modules (require, module.exports)
15.Event Handling
• Event Listeners
• Event Object
• Bubbling and Capturing
16.DOM Manipulation
• Selecting DOM Elements
• Modifying Element Properties
• Creating and Appending Elements
17.Regular Expressions
• Pattern Matching
• RegExp Methods: test(), exec(), match(), replace()
18.Browser APIs
• localStorage and sessionStorage
• navigator Object
• Geolocation API
• Canvas API
19.Web APIs
• setTimeout(), setInterval()
• XMLHttpRequest
• Fetch API
• WebSockets
20.Functional Programming
• Higher-Order Functions
• map(), reduce(), filter()
• Pure Functions and Immutability
21.Promises and Asynchronous Patterns
• Promise Chaining
• Error Handling with Promises
• Async/Await
22.ES6+ Features
• Template Literals
• Destructuring Assignment
• Rest and Spread Operators
• Arrow Functions
• Classes and Inheritance
• Default Parameters
• let, const Block Scoping
23.Browser Object Model (BOM)
• window Object
• history Object
• location Object
• navigator Object
24.Node.js Specific Concepts
• require()
• Node.js Modules (module.exports)
• File System Module (fs)
• npm (Node Package Manager)
25.Testing Frameworks
• Jasmine
• Mocha
• Jest
𝗙𝘂𝗹𝗹𝘀𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗙𝗥𝗘𝗘 𝗗𝗲𝗺𝗼 𝗖𝗹𝗮𝘀𝘀 𝗜𝗻 𝗛𝘆𝗱𝗲𝗿𝗮𝗯𝗮𝗱😍
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The Only SQL You Actually Need For Your First Job (Data Analytics)
The Learning Trap: What Most Beginners Fall Into
When starting out, it's common to feel like you need to master every possible SQL concept. You binge YouTube videos, tutorials, and courses, yet still feel lost in interviews or when given a real dataset.
Common traps:
- Complex subqueries
- Advanced CTEs
- Recursive queries
- 100+ tutorials watched
- 0 practical experience
Reality Check: What You'll Actually Use 75% of the Time
Most data analytics roles (especially entry-level) require clarity, speed, and confidence with core SQL operations. Here’s what covers most daily work:
1. SELECT, FROM, WHERE — The Foundation
SELECT name, age
FROM employees
WHERE department = 'Finance';
This is how almost every query begins. Whether exploring a dataset or building a dashboard, these are always in use.
2. JOINs — Combining Data From Multiple Tables
SELECT e.name, d.department_name
FROM employees e
JOIN departments d ON e.department_id = d.id;
You’ll often join tables like employee data with department, customer orders with payments, etc.
3. GROUP BY — Summarizing Data
SELECT department, COUNT(*) AS employee_count
FROM employees
GROUP BY department;
Used to get summaries by categories like sales per region or users by plan.
4. ORDER BY — Sorting Results
SELECT name, salary
FROM employees
ORDER BY salary DESC;
Helps sort output for dashboards or reports.
5. Aggregations — Simple But Powerful
Common functions: COUNT(), SUM(), AVG(), MIN(), MAX()
SELECT AVG(salary)
FROM employees
WHERE department = 'IT';
Gives quick insights like average deal size or total revenue.
6. ROW_NUMBER() — Adding Row Logic
SELECT *
FROM (
SELECT *, ROW_NUMBER() OVER(PARTITION BY customer_id ORDER BY order_date DESC) as rn
FROM orders
) sub
WHERE rn = 1;
Used for deduplication, rankings, or selecting the latest record per group.
Credits: https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02
React ❤️ for more
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Tips for solving leetcode codings interview problems
If input array is sorted then
- Binary search
- Two pointers
If asked for all permutations/subsets then
- Backtracking
If given a tree then
- DFS
- BFS
If given a graph then
- DFS
- BFS
If given a linked list then
- Two pointers
If recursion is banned then
- Stack
If must solve in-place then
- Swap corresponding values
- Store one or more different values in the same pointer
If asked for maximum/minimum subarray/subset/options then
- Dynamic programming
If asked for top/least K items then
- Heap
If asked for common strings then
- Map
- Trie
Else
- Map/Set for O(1) time & O(n) space
- Sort input for O(nlogn) time and O(1) space
𝗙𝗥𝗘𝗘 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲😍
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Tips for solving leetcode codings interview problems
If input array is sorted then
- Binary search
- Two pointers
If asked for all permutations/subsets then
- Backtracking
If given a tree then
- DFS
- BFS
If given a graph then
- DFS
- BFS
If given a linked list then
- Two pointers
If recursion is banned then
- Stack
If must solve in-place then
- Swap corresponding values
- Store one or more different values in the same pointer
If asked for maximum/minimum subarray/subset/options then
- Dynamic programming
If asked for top/least K items then
- Heap
If asked for common strings then
- Map
- Trie
Else
- Map/Set for O(1) time & O(n) space
- Sort input for O(nlogn) time and O(1) space
𝟏𝟎𝟎+ 𝐅𝐑𝐄𝐄 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 😍
- Data Analytics
- BigData
- Artificial Intelligence
- Cloud Computing
- Data Science
- Machine Learning
- Cyber Security
𝐋𝐢𝐧𝐤 👇:-
https://pdlink.in/4dJ27Ta
Enroll For FREE & Get Certified 🎓
SQL Interview Questions (0-5 Year Experience)!!
Are you preparing for a SQL interview?
Here are some essential SQL concepts to review:
𝐁𝐚𝐬𝐢𝐜 𝐒𝐐𝐋 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬:
1. What is SQL, and why is it important in data analytics?
2. Explain the difference between
INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL OUTER JOIN.
3. What is the difference between WHERE and HAVING clauses?
4. How do you use GROUP BY and HAVING in a query?
5. Write a query to find duplicate records in a table.
6. How do you retrieve unique values from a table using SQL?
7. Explain the use of aggregate functions like COUNT(), SUM(), AVG(), MIN(), and MAX().
8. What is the purpose of a DISTINCT keyword in SQL?
𝐈𝐧𝐭𝐞𝐫𝐦𝐞𝐝𝐢𝐚𝐭𝐞 𝐒𝐐𝐋:
1. Write a query to find the second-highest salary from an employee table.
2. What are subqueries and how do you use them?
3. What is a Common Table Expression (CTE)? Give an example of when to use it.
4. Explain window functions like ROW_NUMBER(), RANK(), and DENSE_RANK().
5. How do you combine results of two queries using UNION and UNION ALL?
6. What are indexes in SQL, and how do they improve query performance?
7. Write a query to calculate the total sales for each month using GROUP BY.
𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐒𝐐𝐋:
1. How do you optimize a slow-running SQL query?
2. What are views in SQL, and when would you use them?
3. What is the difference between a stored procedure and a function in SQL?
4. Explain the difference between TRUNCATE, DELETE, and DROP commands.
5. What are windowing functions, and how are they used in analytics?
6. How do you use PARTITION BY and ORDER BY in window functions?
7. How do you handle NULL values in SQL, and what functions help with that (e.g., COALESCE, ISNULL)?
Here you can find essential SQL Interview Resources👇
https://t.me/mysqldata
Like this post if you need more 👍❤️
Hope it helps :)𝟰 𝗙𝗿𝗲𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗞𝗶𝗰𝗸𝘀𝘁𝗮𝗿𝘁 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗝𝗼𝘂𝗿𝗻𝗲𝘆 — 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿-𝗙𝗿𝗶𝗲𝗻𝗱𝗹𝘆 & 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱!😍
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These 4 beginner-friendly courses will help you build a strong foundation in data science by teaching you how to gather, clean, analyse, and visualise data📊📌
𝗔𝗽𝗽𝗹𝘆 𝗟𝗶𝗻𝗸𝘀:-👇
https://pdlink.in/45uXCtI
An initiative supported by NASSCOM and the Government of India✅️
Guys, Big Announcement!
We’ve officially hit 2 MILLION followers — and it’s time to take our Python journey to the next level!
I’m super excited to launch the 30-Day Python Coding Challenge — perfect for absolute beginners, interview prep, or anyone wanting to build real projects from scratch.
This challenge is your daily dose of Python — bite-sized lessons with hands-on projects so you actually code every day and level up fast.
Here’s what you’ll learn over the next 30 days:
Week 1: Python Fundamentals
- Variables & Data Types (Build your own bio/profile script)
- Operators (Mini calculator to sharpen math skills)
- Strings & String Methods (Word counter & palindrome checker)
- Lists & Tuples (Manage a grocery list like a pro)
- Dictionaries & Sets (Create your own contact book)
- Conditionals (Make a guess-the-number game)
- Loops (Multiplication tables & pattern printing)
Week 2: Functions & Logic — Make Your Code Smarter
- Functions (Prime number checker)
- Function Arguments (Tip calculator with custom tips)
- Recursion Basics (Factorials & Fibonacci series)
- Lambda, map & filter (Process lists efficiently)
- List Comprehensions (Filter odd/even numbers easily)
- Error Handling (Build a safe input reader)
- Review + Mini Project (Command-line to-do list)
Week 3: Files, Modules & OOP
- Reading & Writing Files (Save and load notes)
- Custom Modules (Create your own utility math module)
- Classes & Objects (Student grade tracker)
- Inheritance & OOP (RPG character system)
- Dunder Methods (Build a custom string class)
- OOP Mini Project (Simple bank account system)
- Review & Practice (Quiz app using OOP concepts)
Week 4: Real-World Python & APIs — Build Cool Apps
- JSON & APIs (Fetch weather data)
- Web Scraping (Extract titles from HTML)
- Regular Expressions (Find emails & phone numbers)
- Tkinter GUI (Create a simple counter app)
- CLI Tools (Command-line calculator with argparse)
- Automation (File organizer script)
- Final Project (Choose, build, and polish your app!)
React with ❤️ if you're ready for this new journey
You can join our WhatsApp channel to access it for free: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L/1661
🙏💸 500$ FOR THE FIRST 500 WHO JOIN THE CHANNEL! 🙏💸
Join our channel today for free! Tomorrow it will cost 500$!
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You can join at this link! 👆👇
https://t.me/+104RMnxC7U1kZTll
