Coding Projects
Channel specialized for advanced concepts and projects to master: * Python programming * Web development * Java programming * Artificial Intelligence * Machine Learning Managed by: @love_data
Show more๐ Analytical overview of Telegram channel Coding Projects
Channel Coding Projects (@programming_experts) in the English language segment is an active participant. Currently, the community unites 66 179 subscribers, ranking 1 979 in the Technologies & Applications category and 5 058 in the India region.
๐ Audience metrics and dynamics
Since its creation on ะฝะตะฒัะดะพะผะพ, the project has demonstrated rapid growth, gathering an audience of 66 179 subscribers.
According to the latest data from 22 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 699 over the last 30 days and by -2 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 2.96%. Within the first 24 hours after publication, content typically collects 0.81% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 961 views. Within the first day, a publication typically gains 533 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 4.
- Thematic interests: Content is focused on key topics such as |--, algorithm, array, framework, javascript.
๐ Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
โChannel specialized for advanced concepts and projects to master:
* Python programming
* Web development
* Java programming
* Artificial Intelligence
* Machine Learning
Managed by: @love_dataโ
Thanks to the high frequency of updates (latest data received on 23 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
SELECT Customers.Name, Orders.Order_ID
FROM Customers
INNER JOIN Orders
ON Customers.Customer_ID = Orders.Customer_ID;
โก 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:
โ Indexing
โ Proper Joins
โ Filtering Early
โ Avoiding Unnecessary Queries
๐ Databases Every Developer Should Know
๐ฌ MySQL
Best for: Beginners, Web Applications, Small to Medium Projects
Official Site: MySQL
๐ PostgreSQL
Best for: Enterprise Applications, Analytics, Complex Systems
Official Site: PostgreSQL
๐ MongoDB
Best for: Flexible Data Storage, Modern Applications, NoSQL Projects
Official Site: MongoDB
๐ Beginner Database Projects
Build these projects to strengthen your skills:
โ Student Management System
โ Library Management System
โ Inventory Tracker
โ Expense Tracker
โ Employee Database System
โ E-commerce Database
โ ๏ธ Common Beginner Mistakes
โ Skipping SQL fundamentals
โ Learning NoSQL before SQL
โ Ignoring database design
โ Not practicing joins
โ Memorizing queries without understanding
๐บ๏ธ Database Learning Roadmap
Week 1 โ Tables, Rows & Columns, CRUD Operations
Week 2 โ Filtering, Sorting, Aggregations
Week 3 โ Joins, Relationships, Primary & Foreign Keys
Week 4 โ Indexes, Optimization, Database Design
๐ก Why Databases Matter
Almost every software application relies on databases.
Whether you're becoming:
โ Web Developer
โ Data Analyst
โ Data Scientist
โ Backend Engineer
โ AI Engineer
Database skills are essential.
๐ Double Tap โค๏ธ For MoreSELECT Customers.Name, Orders.Order_ID
FROM Customers
INNER JOIN Orders
ON Customers.Customer_ID = Orders.Customer_ID;
โก 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:
โ Indexing
โ Proper Joins
โ Filtering Early
โ Avoiding Unnecessary Queries
๐ Databases Every Developer Should Know
๐ฌ MySQL
Best for: Beginners, Web Applications, Small to Medium Projects
Official Site: MySQL
๐ PostgreSQL
Best for: Enterprise Applications, Analytics, Complex Systems
Official Site: PostgreSQL
๐ MongoDB
Best for: Flexible Data Storage, Modern Applications, NoSQL Projects
Official Site: MongoDB
๐ Beginner Database Projects
Build these projects to strengthen your skills:
โ Student Management System
โ Library Management System
โ Inventory Tracker
โ Expense Tracker
โ Employee Database System
โ E-commerce Database
โ ๏ธ Common Beginner Mistakes
โ Skipping SQL fundamentals
โ Learning NoSQL before SQL
โ Ignoring database design
โ Not practicing joins
โ Memorizing queries without understanding
๐บ๏ธ Database Learning Roadmap
Week 1 โ Tables, Rows & Columns, CRUD Operations
Week 2 โ Filtering, Sorting, Aggregations
Week 3 โ Joins, Relationships, Primary & Foreign Keys
Week 4 โ Indexes, Optimization, Database Design
๐ก Why Databases Matter
Almost every software application relies on databases.
Whether you're becoming:
โ Web Developer
โ Data Analyst
โ Data Scientist
โ Backend Engineer
โ AI Engineer
Database skills are essential.
๐ Double Tap โค๏ธ For More
-----
1.34 โฝ ยท /balance_help{
"name": "John",
"age": 25
}
Popular NoSQL Databases:
โ MongoDB
โ Redis
๐ง 3. Why Learn SQL?
SQL Structured Query Language is used to communicate with databases.
It is one of the most important skills for:
โ Developers
โ Data Analysts
โ Data Scientists
โ Backend Engineers
โ Database Administrators
Many companies ask SQL questions in interviews.
๐ 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.
โ CREATE Insert Data
Example:
INSERT INTO Students VALUES (1, 'John', 22);
Adds a new record.
๐ READ Retrieve Data
Example:
SELECT * FROM Students;
Displays all records.
โ๏ธ UPDATE Modify Data
Example:
UPDATE Students SET Age = 23 WHERE ID = 1;
Updates existing information.
โ DELETE Remove Data
Example:
DELETE FROM Students WHERE ID = 1;
Removes a record.
๐ 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.
๐ 6. Primary Keys
A Primary Key uniquely identifies each row.
Example:
ID Name
1 Rahul
2 Priya
ID acts as the Primary Key.
Rules:
โ Unique
โ Cannot be NULL
๐ 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.
๐ 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;
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