Уже доступно! Исследование Telegram 2025 — ключевые инсайты года 
Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books
Открыть в Telegram
Everything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_data
Больше📈 Аналитический обзор Telegram-канала Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books
Канал Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books (@programming_guide) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 56 097 подписчиков, занимая 2 379 место в категории Технологии и приложения и 6 302 место в регионе Индия.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 56 097 подписчиков.
Согласно последним данным от 23 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 63, а за последние 24 часа — -15, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 2.11%. В первые 24 часа после публикации контент обычно набирает 0.49% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 1 182 просмотров. В течение первых суток публикация набирает 273 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 7.
- Тематические интересы: Контент сосредоточен на ключевых темах, таких как algorithm, structure, stack, javascript, programming.
📝 Описание и контентная политика
Автор описывает ресурс как площадку для выражения субъективного мнения:
“Everything about programming for beginners
* Python programming
* Java programming
* App development
* Machine Learning
* Data Science
Managed by: @love_data”
Благодаря высокой частоте обновлений (последние данные получены 24 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.
56 097
Подписчики
-1524 часа
-657 дней
+6330 день
Загрузка данных...
Похожие каналы
Облако тегов
Входящие и исходящие упоминания
---
---
---
---
---
---
Привлечение подписчиков
июнь '26
июнь '26
+174
в 6 каналах
май '26
+344
в 6 каналах
Get PRO
апрель '26
+256
в 2 каналах
Get PRO
март '26
+131
в 1 каналах
Get PRO
февраль '26
+512
в 8 каналах
Get PRO
январь '26
+652
в 8 каналах
Get PRO
декабрь '25
+630
в 3 каналах
Get PRO
ноябрь '25
+681
в 8 каналах
Get PRO
октябрь '25
+790
в 10 каналах
Get PRO
сентябрь '25
+683
в 8 каналах
Get PRO
август '25
+789
в 10 каналах
Get PRO
июль '25
+599
в 16 каналах
Get PRO
июнь '25
+1 076
в 24 каналах
Get PRO
май '25
+2 312
в 23 каналах
Get PRO
апрель '25
+3 807
в 29 каналах
Get PRO
март '25
+1 255
в 21 каналах
Get PRO
февраль '25
+789
в 25 каналах
Get PRO
январь '25
+534
в 27 каналах
Get PRO
декабрь '24
+439
в 8 каналах
Get PRO
ноябрь '24
+1 244
в 6 каналах
Get PRO
октябрь '24
+1 605
в 10 каналах
Get PRO
сентябрь '24
+2 221
в 8 каналах
Get PRO
август '24
+2 444
в 10 каналах
Get PRO
июль '24
+2 756
в 17 каналах
Get PRO
июнь '24
+3 822
в 22 каналах
Get PRO
май '24
+2 901
в 27 каналах
Get PRO
апрель '24
+2 697
в 13 каналах
Get PRO
март '24
+3 210
в 9 каналах
Get PRO
февраль '24
+3 427
в 4 каналах
Get PRO
январь '24
+5 067
в 4 каналах
Get PRO
декабрь '23
+3 283
в 3 каналах
Get PRO
ноябрь '23
+772
в 11 каналах
Get PRO
октябрь '23
+891
в 4 каналах
Get PRO
сентябрь '23
+766
в 0 каналах
Get PRO
август '23
+1 414
в 0 каналах
Get PRO
июль '23
+1 155
в 0 каналах
Get PRO
июнь '23
+172
в 0 каналах
Get PRO
май '23
+105
в 0 каналах
Get PRO
апрель '23
+148
в 0 каналах
Get PRO
март '23
+115
в 0 каналах
Get PRO
февраль '23
+135
в 0 каналах
Get PRO
январь '23
+224
в 0 каналах
Get PRO
декабрь '22
+171
в 0 каналах
Get PRO
ноябрь '22
+559
в 0 каналах
Get PRO
октябрь '22
+145
в 0 каналах
Get PRO
сентябрь '22
+204
в 0 каналах
Get PRO
август '22
+187
в 0 каналах
Get PRO
июль '22
+207
в 0 каналах
Get PRO
июнь '22
+132
в 0 каналах
Get PRO
май '22
+124
в 0 каналах
Get PRO
апрель '22
+128
в 0 каналах
Get PRO
март '22
+190
в 0 каналах
Get PRO
февраль '22
+242
в 0 каналах
Get PRO
январь '22
+1 010
в 0 каналах
Get PRO
декабрь '21
+109
в 0 каналах
Get PRO
ноябрь '21
+220
в 0 каналах
Get PRO
октябрь '21
+112
в 0 каналах
Get PRO
сентябрь '21
+545
в 0 каналах
Get PRO
август '21
+359
в 0 каналах
Get PRO
июль '21
+678
в 0 каналах
| Дата | Привлечение подписчиков | Упоминания | Каналы | |
| 24 июня | 0 | |||
| 23 июня | +1 | |||
| 22 июня | +1 | |||
| 21 июня | +2 | |||
| 20 июня | +1 | |||
| 19 июня | 0 | |||
| 18 июня | +2 | |||
| 17 июня | 0 | |||
| 16 июня | +6 | |||
| 15 июня | +3 | |||
| 14 июня | +24 | |||
| 13 июня | +26 | |||
| 12 июня | +14 | |||
| 11 июня | +6 | |||
| 10 июня | +5 | |||
| 09 июня | +12 | |||
| 08 июня | 0 | |||
| 07 июня | +7 | |||
| 06 июня | +10 | |||
| 05 июня | +18 | |||
| 04 июня | +7 | |||
| 03 июня | +22 | |||
| 02 июня | +5 | |||
| 01 июня | +2 |
Посты канала
📊 𝗧𝗖𝗦 𝗙𝗥𝗘𝗘 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀
Here's an amazing opportunity from TCS to learn essential data analytics skills completely FREE and earn a certificate
🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:
https://pdlink.in/4waJYWJ
🔥 Data Analytics continues to be one of the most in-demand career paths, and this free course is a great first step toward building job-ready skills.
⏳ Don't miss this opportunity to upskill and boost your career!
| 2 | 📌Openprise is hiring for UI Developer/Frontend Developer/Software Engineer
Experience: 1-3 years
Salary: 9-13 LPA
Apply here: https://openprise.applytojob.com/apply/hHRtvh9g6Q/UI-DeveloperFrontend-DeveloperSoftware-Engineer
Jobs Channel: https://t.me/getjobss
Like for more job opportunities ❤️ | 308 |
| 3 |  𝟳 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗧𝗼 𝗘𝗻𝗿𝗼𝗹𝗹 𝗜𝗻 𝟮𝟬𝟮𝟲😍
✅ 100% FREE & Beginner-Friendly
✅ Learn AI, ML, Data Science, Ethical Hacking & More
✅ Taught by Industry Experts
✅ Practical & Hands-on Learning
📢 Start learning today and take your tech career to the next level! 🚀
𝐋𝐢𝐧𝐤 👇:-
https://pdlink.in/4bQ6FpS
Enroll For FREE & Get Certified 🎓 | 595 |
| 4 | Quick Python Cheat Sheet for Beginners 🐍✍️
Python is widely used for data analysis, automation, and AI—perfect for beginners starting their coding journey.
Aggregation Functions 📊
• sum(list) → Adds all values
👉 sum([1,2,3]) = 6
• len(list) → Counts total elements
👉 len([1,2,3]) = 3
• max(list) → Highest value
👉 max([4,7,2]) = 7
• min(list) → Lowest value
👉 min([4,7,2]) = 2
• sum(list)/len(list) → Average
👉 sum([10,20])/2 = 15
Lookup / Searching 🔍
• in → Check existence
👉 5 in [1,2,5] = True
• list.index(value) → Position of value
👉 [10,20,30].index(20) = 1
• Dictionary lookup
👉 data = {"name": "John", "age": 25} data["name"] # John
Logical Operations 🧠
• if condition: → Decision making
👉 if x > 10: print("High") else: print("Low")
• and → All conditions true
• or → Any condition true
• not → Reverse condition
Text (String) Functions 🔤
• len(text) → Length
👉 len("hello") = 5
• text.lower() → Lowercase
• text.upper() → Uppercase
• text.strip() → Remove spaces
👉 " hi ".strip() = "hi"
• text.replace(old, new)
👉 "hi".replace("h","H") = "Hi"
• String concatenation
👉 "Hello " + "World"
Date Time Functions 📅
• from datetime import datetime
• datetime.now() → Current date time
• Extract values:
now = datetime.now() now.year now.month now.day
Math Functions ➗
• import math
• math.sqrt(x) → Square root
• math.ceil(x) → Round up
• math.floor(x) → Round down
• abs(x) → Absolute value
Conditional Aggregation (Like Excel SUMIF) ⚡
• Using list comprehension
nums = [10, 20, 30, 40] sum(x for x in nums if x > 20) # 70
• Count condition
len([x for x in nums if x > 20]) # 2
Pro Tip for Data Analysts 💡
👉 For real-world work, use libraries: pandas & numpy
Example:
import pandas as pd df["salary"].mean()
Python Resources: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L
Double Tap ♥️ For More | 557 |
| 5 |  𝗣𝗮𝘆 𝗔𝗳𝘁𝗲𝗿 𝗣𝗹𝗮𝗰𝗲𝗺𝗲𝗻𝘁 - 𝗙𝘂𝗹𝗹𝘀𝘁𝗮𝗰𝗸𝗗𝗲𝘃 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗪𝗶𝘁𝗵 𝗚𝗲𝗻𝗔𝗜 😍
Curriculum designed and taught by alumni from IITs & leading tech companies.
Learn Coding & Get Placed In Top Tech Companies
𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀:-
💼 Avg. Package: ₹7.2 LPA | Highest: ₹41 LPA
𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐍𝐨𝐰 👇:-
https://pdlink.in/42WOE5H
Hurry! Limited seats are available.🏃♂️ | 464 |
| 6 | 🔗 9. SQL Joins
Joins combine data from multiple tables. This is one of the most important SQL concepts.
Types of Joins:
✔ INNER JOIN
✔ LEFT JOIN
✔ RIGHT JOIN
✔ FULL JOIN
Example
SELECT Customers.Name, Orders.Order_ID
FROM Customers
INNER JOIN Orders
ON Customers.Customer_ID = Orders.Customer_ID;
⚡ 10. Query Optimization
As databases grow, performance becomes important.
Imagine: 100 Records = Fast, 10 Million Records = Slow
Optimization helps retrieve data efficiently.
Common Optimization Techniques:
✔ Indexing
✔ Proper Joins
✔ Filtering Early
✔ Avoiding Unnecessary Queries
🛠 Databases Every Developer Should Know
🐬 MySQL
Best for: Beginners, Web Applications, Small to Medium Projects
Official Site: MySQL
🐘 PostgreSQL
Best for: Enterprise Applications, Analytics, Complex Systems
Official Site: PostgreSQL
🍃 MongoDB
Best for: Flexible Data Storage, Modern Applications, NoSQL Projects
Official Site: MongoDB
🚀 Beginner Database Projects
Build these projects to strengthen your skills:
✔ Student Management System
✔ Library Management System
✔ Inventory Tracker
✔ Expense Tracker
✔ Employee Database System
✔ E-commerce Database
⚠️ Common Beginner Mistakes
❌ Skipping SQL fundamentals
❌ Learning NoSQL before SQL
❌ Ignoring database design
❌ Not practicing joins
❌ Memorizing queries without understanding
🗺️ Database Learning Roadmap
Week 1 ✔ Tables, Rows & Columns, CRUD Operations
Week 2 ✔ Filtering, Sorting, Aggregations
Week 3 ✔ Joins, Relationships, Primary & Foreign Keys
Week 4 ✔ Indexes, Optimization, Database Design
💡 Why Databases Matter
Almost every software application relies on databases.
Whether you're becoming:
✔ Web Developer
✔ Data Analyst
✔ Data Scientist
✔ Backend Engineer
✔ AI Engineer
Database skills are essential.
👉 Double Tap ❤️ For More | 498 |
| 7 | 🚀 Learn Databases 🗄️💾
Every application stores data.
Think about:
✔ Instagram storing user profiles
✔ Amazon storing product information
✔ Netflix storing movies and subscriptions
✔ Banking applications storing transactions
Where is all this data stored?
👉 In Databases
If programming is the brain of an application, then databases are its memory 🧠💾
🧠 1. What is a Database?
A Database is an organized collection of data that can be stored, managed, and retrieved efficiently.
Without databases:
❌ Data would be lost after closing the application
❌ Searching information would be difficult
❌ Large applications would be impossible to build
🌍 Real-World Examples
Banking System Stores:
✔ Customer Information
✔ Account Details
✔ Transaction History
✔ Loan Information
E-Commerce Website Stores:
✔ Products
✔ Orders
✔ Customers
✔ Payments
Social Media Platform Stores:
✔ Users
✔ Posts
✔ Comments
✔ Messages
📊 2. Types of Databases
There are two major categories:
🗄️ Relational Databases SQL
Data is stored in tables.
Example:
ID Name Age
1 John 25
2 Sarah 30
Popular SQL Databases:
✔ MySQL
✔ PostgreSQL
✔ Microsoft SQL Server
📄 NoSQL Databases
Data is stored in flexible formats.
Example:
{
"name": "John",
"age": 25
}
Popular NoSQL Databases:
✔ MongoDB
✔ Redis
🧠 3. Why Learn SQL?
SQL Structured Query Language is used to communicate with databases.
It is one of the most important skills for:
✔ Developers
✔ Data Analysts
✔ Data Scientists
✔ Backend Engineers
✔ Database Administrators
Many companies ask SQL questions in interviews.
📋 4. CRUD Operations
CRUD stands for:
Operation Meaning
Create Insert Data
Read Retrieve Data
Update Modify Data
Delete Remove Data
These are the most fundamental database operations.
➕ CREATE Insert Data
Example:
INSERT INTO Students VALUES (1, 'John', 22);
Adds a new record.
🔍 READ Retrieve Data
Example:
SELECT _ FROM Students;
Displays all records.
✏️ UPDATE Modify Data
Example:
UPDATE Students SET Age = 23 WHERE ID = 1;
Updates existing information.
❌ DELETE Remove Data
Example:
DELETE FROM Students WHERE ID = 1;
Removes a record.
📊 5. Database Tables
Databases organize information using tables.
Example: Employees Table
Employee_ID Name Department
101 Rahul IT
102 Priya HR
103 Amit Finance
Each row is a record. Each column represents an attribute.
🔗 6. Primary Keys
A Primary Key uniquely identifies each row.
Example:
ID Name
1 Rahul
2 Priya
ID acts as the Primary Key.
Rules:
✔ Unique
✔ Cannot be NULL
🔄 7. Relationships Between Tables
Large databases contain multiple tables. These tables are connected using relationships.
Example
Customers Table
Customer_ID Name
1 Rahul
Orders Table
Order_ID Customer_ID
101 1
Customer_ID connects both tables.
🔍 8. SQL Queries Every Beginner Must Learn
Select Data
SELECT _ FROM Employees;
Filter Data
SELECT _ FROM Employees WHERE Department = 'IT';
Sort Data
SELECT _ FROM Employees ORDER BY Salary DESC;
Count Records
SELECT COUNT(_) FROM Employees;
Group Data
SELECT Department, COUNT(_) FROM Employees GROUP BY Department; | 346 |
| 8 |  𝗔𝗰𝗰𝗲𝗻𝘁𝘂𝗿𝗲 𝗙𝗥𝗘𝗘 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝘄𝗶𝘁𝗵 𝗙𝗿𝗲𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗲 📊
Join the Accenture Virtual Internship Program and learn industry-relevant analytics skills with a free certificate 🌍
✨ Learn from Accenture Industry Experts
✨ Boost Your Resume & LinkedIn Profile
✨ Gain Practical Analytics Experience
✨ Improve Career Opportunities in 2026
✨ Great for Students & Freshers
🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:
https://pdlink.in/42TuhXg
🔥 Start your Data Analytics journey today and gain valuable virtual internship experience from a top global company. | 399 |
| 9 | COMMON TERMINOLOGIES IN PYTHON - PART 1
Have you ever gotten into a discussion with a programmer before? Did you find some of the Terminologies mentioned strange or you didn't fully understand them?
In this series, we would be looking at the common Terminologies in python.
It is important to know these Terminologies to be able to professionally/properly explain your codes to people and/or to be able to understand what people say in an instant when these codes are mentioned. Below are a few:
IDLE (Integrated Development and Learning Environment) - this is an environment that allows you to easily write Python code. IDLE can be used to execute a single statements and create, modify, and execute Python scripts.
Python Shell - This is the interactive environment that allows you to type in python code and execute them immediately
System Python - This is the version of python that comes with your operating system
Prompt - usually represented by the symbol ">>>" and it simply means that python is waiting for you to give it some instructions
REPL (Read-Evaluate-Print-Loop) - this refers to the sequence of events in your interactive window in form of a loop (python reads the code inputted>the code is evaluated>output is printed)
Argument - this is a value that is passed to a function when called eg print("Hello World")... "Hello World" is the argument that is being passed.
Function - this is a code that takes some input, known as arguments, processes that input and produces an output called a return value. E.g print("Hello World")... print is the function
Return Value - this is the value that a function returns to the calling script or function when it completes its task (in other words, Output). E.g.
>>> print("Hello World")
Hello World
Where Hello World is your return value.
Note: A return value can be any of these variable types: handle, integer, object, or string
Script - This is a file where you store your python code in a text file and execute all of the code with a single command
Script files - this is a file containing a group of python scripts | 442 |
| 10 |  🚀 𝗧𝗼𝗽 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗬𝗼𝘂 𝗖𝗮𝗻 𝗟𝗲𝗮𝗿𝗻 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘! 💼🔥
These free courses can help you build in-demand tech skills for 2026 👇
✅ Microsoft Azure Fundamentals ☁️
✅ Power BI Data Analyst 📊
✅ Data Analysis Using Excel 📈
✅ Azure AI & Generative AI Courses 🤖
✅ SQL & Data Engineering Learning Paths 💻
💡 Why Learn Microsoft Certifications?
✨ Industry-Recognized Credentials
✨ Hands-on Learning
✨ High Demand Skills
✨ Better Career Opportunities
🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:
https://pdlink.in/4nLVyVc
🔥 Start learning today and future-proof your career with Microsoft-certified skills. | 414 |
| 11 | ✅ Web development Interview Questions with Answers: Part-1
QUESTION 1
What happens step by step when you enter a URL in a browser and press Enter?
Answer
You trigger a long chain of events.
• Browser parses the URL and identifies protocol, domain, path
• Browser checks cache, DNS cache, OS cache, router cache
• If not found, DNS lookup happens to get the IP address
• Browser opens a TCP connection with the server
• HTTPS triggers TLS handshake for encryption
• Browser sends an HTTP request to the server
• Server processes request and sends HTTP response
• Browser downloads HTML, CSS, JS, images
• HTML parsed into DOM
• CSS parsed into CSSOM
• DOM + CSSOM create render tree
• Layout calculates positions
• Paint draws pixels on screen
• JavaScript executes and updates UI
Interview tip
Mention DNS, TCP, TLS, render tree. This separates juniors from seniors.
QUESTION 2
What are the roles of HTML, CSS, and JavaScript in a web application?
Answer
Each layer has a single responsibility.
HTML
• Structure of the page
• Content and meaning
• Headings, forms, inputs, buttons
CSS
• Presentation and layout
• Colors, fonts, spacing
• Responsive behavior
JavaScript
• Behavior and logic
• Events, API calls, validation
• Dynamic updates
Real example
HTML builds a login form
CSS styles it
JavaScript validates input and sends API request
QUESTION 3
What are the main differences between HTML and HTML5?
Answer
HTML5 added native capabilities.
Key differences
• Semantic tags like header, footer, article
• Audio and video support without plugins
• Canvas and SVG for graphics
• Local storage and session storage
QUESTION 4
What is the difference between block-level and inline elements in HTML?
Answer
Block elements
• Start on a new line
• Take full width
• Respect height and width
• Examples: div, p, h1
Inline elements
• Stay in same line
• Take only content width
• Height and width ignored
• Examples: span, a, strong
Inline-block
• Stays inline
• Respects height and width
QUESTION 5
What is semantic HTML and why is it important for SEO and accessibility?
Answer
Semantic HTML uses meaningful tags.
Examples
• header, nav, main, article, section, footer
Benefits
• Search engines understand content better
• Screen readers read pages correctly
• Code becomes readable and maintainable
SEO example
article tag signals main content to search engines.
Accessibility example
Screen readers jump between landmarks.
QUESTION 6
What are meta tags and how do they impact search engines?
Answer
Meta tags provide page metadata.
Common meta tags
• charset defines encoding
• viewport controls responsiveness
• description influences search snippets
• robots control indexing
SEO impact
• Description affects click-through rate
• Robots tag controls indexing behavior
Note: Meta keywords are ignored by modern search engines.
QUESTION 7
What is the difference between class and id attributes in HTML?
Answer
ID
• Unique
• Used once per page
• High CSS specificity
• Used for anchors and JS targeting
Class
• Reusable
• Applied to multiple elements
• Preferred for styling
QUESTION 8
What is a DOCTYPE declaration and why is it required?
Answer
DOCTYPE tells the browser how to render the page.
Without DOCTYPE
• Browser enters quirks mode
• Layout breaks
• Inconsistent behavior
With DOCTYPE
• Standards mode
• Predictable rendering
QUESTION 9
How do HTML forms work and what are common input types?
Answer
Forms collect and send user data.
Process
• User fills inputs
• Submit triggers request
• Data sent via GET or POST
Common input types
• text, email, password
• number, date
• radio, checkbox
• file
Security note
Always validate on server side.
QUESTION 10
What is web accessibility and what are ARIA roles used for?
Answer
Accessibility ensures usable web apps for everyone.
Who benefits
• Screen reader users
• Keyboard users
• Users with visual or motor impairments
ARIA roles
• Add meaning when native HTML falls short
• role, aria-label, aria-hidden
Rule
Use semantic HTML first. Use ARIA only when needed.
Double Tap ♥️ For Part-2 | 501 |
| 12 |  𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝘄𝗶𝘁𝗵 𝗔𝗜 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲 | 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝗰𝗲😍
✅ Build Python, Machine Learning & AI Skills
✅ 60+ Hiring Drives Every Month
✅ 1-on-1 Expert Mentorship
✅ 500+ Partner Companies
✅ Highest Salary: ₹12.65 LPA
𝗕𝗼𝗼𝗸 𝗮 𝗙𝗥𝗘𝗘 𝗦𝗲𝘀𝘀𝗶𝗼𝗻 :- 👇:-
https://pdlink.in/4fdWxJB
Hurry Up 🏃♂️! Limited seats are available. | 468 |
| 13 | Here's a short roadmap to crack an IT job with a non-CS background 🚀
1. 📚 Learn basics of CS and programming.
2. 🎯 Choose a specialization (e.g., web dev, data analysis).
3. 🏆 Complete online courses and certifications.
4. 🛠️ Build a portfolio of projects.
5. 🤝 Network with professionals.
6. 💼 Seek internships for experience.
7. 📚 Keep learning and stay updated.
8. 🧠 Develop soft skills.
9. 📝 Prepare for interviews.
10. 💪 Stay persistent and positive! Good luck!
React to This Message so I share Content like this ❤️ | 567 |
| 14 |  📊 𝗖𝗶𝘀𝗰𝗼 𝗙𝗥𝗘𝗘 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 | 𝗘𝗻𝗿𝗼𝗹𝗹 𝗡𝗼𝘄! 🚀
🚀 Data Analytics is one of the most in-demand career paths in 2026
🔥 Program Benefits:
✅ FREE Certification
✅ Self-Paced Learning
✅ Beginner Friendly
✅ Industry-Relevant Curriculum
✅ Resume & LinkedIn Booster
🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:
https://pdlink.in/4gaeVVV
📢 Share with friends who want to start a career in Data Analytics! | 625 |
| 15 | ✅SQL Roadmap: Step-by-Step Guide to Master SQL 🧠💻
Whether you're aiming to be a backend dev, data analyst, or full-time SQL pro — this roadmap has got you covered 👇
📍 1. SQL Basics
⦁ SELECT, FROM, WHERE
⦁ ORDER BY, LIMIT, DISTINCT
Learn data retrieval & filtering.
📍 2. Joins Mastery
⦁ INNER JOIN, LEFT/RIGHT/FULL OUTER JOIN
⦁ SELF JOIN, CROSS JOIN
Master table relationships.
📍 3. Aggregate Functions
⦁ COUNT(), SUM(), AVG(), MIN(), MAX()
Key for reporting & analytics.
📍 4. Grouping Data
⦁ GROUP BY to group
⦁ HAVING to filter groups
Example: Sales by region, top categories.
📍 5. Subqueries & Nested Queries
⦁ Use subqueries in WHERE, FROM, SELECT
⦁ Use EXISTS, IN, ANY, ALL
Build complex logic without extra joins.
📍 6. Data Modification
⦁ INSERT INTO, UPDATE, DELETE
⦁ MERGE (advanced)
Safely change dataset content.
📍 7. Database Design Concepts
⦁ Normalization (1NF to 3NF)
⦁ Primary, Foreign, Unique Keys
Design scalable, clean DBs.
📍 8. Indexing & Query Optimization
⦁ Speed queries with indexes
⦁ Use EXPLAIN, ANALYZE to tune
Vital for big data/enterprise work.
📍 9. Stored Procedures & Functions
⦁ Reusable logic, control flow (IF, CASE, LOOP)
Backend logic inside the DB.
📍 10. Transactions & Locks
⦁ ACID properties
⦁ BEGIN, COMMIT, ROLLBACK
⦁ Lock types (SHARED, EXCLUSIVE)
Prevent data corruption in concurrency.
📍 11. Views & Triggers
⦁ CREATE VIEW for abstraction
⦁ TRIGGERS auto-run SQL on events
Automate & maintain logic.
📍 12. Backup & Restore
⦁ Backup/restore with tools (mysqldump, pg_dump)
Keep your data safe.
📍 13. NoSQL Basics (Optional)
⦁ Learn MongoDB, Redis basics
⦁ Understand where SQL ends & NoSQL begins.
📍 14. Real Projects & Practice
⦁ Build projects: Employee DB, Sales Dashboard, Blogging System
⦁ Practice on LeetCode, StrataScratch, HackerRank
📍 15. Apply for SQL Dev Roles
⦁ Tailor resume with projects & optimization skills
⦁ Prepare for interviews with SQL challenges
⦁ Know common business use cases
💡 Pro Tip: Combine SQL with Python or Excel to boost your data career options.
💬 Double Tap ♥️ For More! | 554 |
| 16 | 🎁❗️TODAY FREE❗️🎁
Entry to our VIP channel is completely free today. Tomorrow it will cost $500! 🔥
JOIN 👇
https://t.me/+sOzxt_4G3jlkZDYy
https://t.me/+sOzxt_4G3jlkZDYy
https://t.me/+sOzxt_4G3jlkZDYy | 419 |
| 17 |  𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗙𝗥𝗘𝗘 𝗢𝗻𝗹𝗶𝗻𝗲 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 😍
💫 This Masterclass will help you build a strong foundation in Data Science
💫Kickstart Your Data Science Career.Join this Masterclass for an expert-led session on Data Science
Eligibility :- Students ,Freshers & Working Professionals
𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇 :-
https://pdlink.in/4uBFtDb
( Limited Slots ..Hurry Up )
Date & Time :- 19th June 2026 , 7:00 PM | 583 |
| 18 | ✅ Web Development Mistakes Beginners Should Avoid ⚠️💻
1️⃣ Skipping the Basics
• You rush to frameworks
• You ignore HTML semantics
• You struggle with CSS layouts later
✅ Fix this first
2️⃣ Learning Too Many Tools
• React today, Vue tomorrow
• No depth in any stack
✅ Pick one frontend and one backend → Stay consistent
3️⃣ Avoiding JavaScript Fundamentals
• Weak DOM knowledge
• Poor async handling
• Confusion with promises
✅ Master core JavaScript early
4️⃣ Ignoring Git
• No version history
• Broken code with no rollback
• Fear of experiments
✅ Learn Git from day one
5️⃣ Building Without Projects
• Watching tutorials only
• No real problem solving
• Zero confidence in interviews
✅ Build small. Build often
6️⃣ Poor Folder Structure
• Messy files
• Hard to debug
• Hard to scale
✅ Follow simple conventions
7️⃣ No API Understanding
• Copy-paste fetch code
• No idea about status codes
• Weak backend communication
✅ Learn REST and JSON properly
8️⃣ Not Deploying Apps
• Code stays local
• No production exposure
• No live links for resume
✅ Deploy every project
9️⃣ Ignoring Performance
• Large images
• Unused JavaScript
• Slow page loads
✅ Use browser tools to measure
🔟 Skipping Debugging Skills
• Random console logs
• No breakpoints
• No network inspection
✅ Learn DevTools seriously
💡 Avoid these mistakes to double your learning speed.
💬 Double Tap ❤️ For More! | 601 |
| 19 |  🎓𝟱 𝗙𝗥𝗘𝗘 𝗜𝗕𝗠 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝟮𝟬𝟮𝟲 🚀
IBM SkillsBuild offers FREE online courses, digital credentials, and career-focused learning paths to help students and professionals become job-ready. 🌟
✔️ 100% Free Learning Resources
✔️ Industry-Recognized Digital Badges
✔️ Self-Paced Learning
✔️ Hands-On Projects & Assessments
✔️ Resume & LinkedIn Profile Enhancement
🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:
https://pdlink.in/4vPMTDO
⏳ Start Learning Today & Boost Your Career! | 668 |
| 20 | Data Analytics Roadmap
|
|-- Fundamentals
| |-- Mathematics
| | |-- Descriptive Statistics
| | |-- Inferential Statistics
| | |-- Probability Theory
| |
| |-- Programming
| | |-- Python (Focus on Libraries like Pandas, NumPy)
| | |-- R (For Statistical Analysis)
| | |-- SQL (For Data Extraction)
|
|-- Data Collection and Storage
| |-- Data Sources
| | |-- APIs
| | |-- Web Scraping
| | |-- Databases
| |
| |-- Data Storage
| | |-- Relational Databases (MySQL, PostgreSQL)
| | |-- NoSQL Databases (MongoDB, Cassandra)
| | |-- Data Lakes and Warehousing (Snowflake, Redshift)
|
|-- Data Cleaning and Preparation
| |-- Handling Missing Data
| |-- Data Transformation
| |-- Data Normalization and Standardization
| |-- Outlier Detection
|
|-- Exploratory Data Analysis (EDA)
| |-- Data Visualization Tools
| | |-- Matplotlib
| | |-- Seaborn
| | |-- ggplot2
| |
| |-- Identifying Trends and Patterns
| |-- Correlation Analysis
|
|-- Advanced Analytics
| |-- Predictive Analytics (Regression, Forecasting)
| |-- Prescriptive Analytics (Optimization Models)
| |-- Segmentation (Clustering Techniques)
| |-- Sentiment Analysis (Text Data)
|
|-- Data Visualization and Reporting
| |-- Visualization Tools
| | |-- Power BI
| | |-- Tableau
| | |-- Google Data Studio
| |
| |-- Dashboard Design
| |-- Interactive Visualizations
| |-- Storytelling with Data
|
|-- Business Intelligence (BI)
| |-- KPI Design and Implementation
| |-- Decision-Making Frameworks
| |-- Industry-Specific Use Cases (Finance, Marketing, HR)
|
|-- Big Data Analytics
| |-- Tools and Frameworks
| | |-- Hadoop
| | |-- Apache Spark
| |
| |-- Real-Time Data Processing
| |-- Stream Analytics (Kafka, Flink)
|
|-- Domain Knowledge
| |-- Industry Applications
| | |-- E-commerce
| | |-- Healthcare
| | |-- Supply Chain
|
|-- Ethical Data Usage
| |-- Data Privacy Regulations (GDPR, CCPA)
| |-- Bias Mitigation in Analysis
| |-- Transparency in Reporting
Free Resources to learn Data Analytics skills👇👇
1. SQL
https://mode.com/sql-tutorial/introduction-to-sql
https://t.me/sqlspecialist/738
2. Python
https://www.learnpython.org/
https://t.me/pythondevelopersindia/873
https://bit.ly/3T7y4ta
https://www.geeksforgeeks.org/python-programming-language/learn-python-tutorial
3. R
https://datacamp.pxf.io/vPyB4L
4. Data Structures
https://leetcode.com/study-plan/data-structure/
https://www.udacity.com/course/data-structures-and-algorithms-in-python--ud513
5. Data Visualization
https://www.freecodecamp.org/learn/data-visualization/
https://t.me/Data_Visual/2
https://www.tableau.com/learn/training/20223
https://www.workout-wednesday.com/power-bi-challenges/
6. Excel
https://excel-practice-online.com/
https://t.me/excel_data
https://www.w3schools.com/EXCEL/index.php
Join @free4unow_backup for more free courses
Like for more ❤️
ENJOY LEARNING 👍👍 | 794 |
