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
Mostrar más📈 Análisis del canal de Telegram Coding Projects
El canal Coding Projects (@programming_experts) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 66 179 suscriptores, ocupando la posición 1 979 en la categoría Tecnologías y Aplicaciones y el puesto 5 058 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 66 179 suscriptores.
Según los últimos datos del 22 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 699, y en las últimas 24 horas de -2, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.96%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 0.81% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 1 961 visualizaciones. En el primer día suele acumular 533 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 4.
- Intereses temáticos: El contenido se centra en temas clave como |--, algorithm, array, framework, javascript.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Channel specialized for advanced concepts and projects to master:
* Python programming
* Web development
* Java programming
* Artificial Intelligence
* Machine Learning
Managed by: @love_data”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 23 junio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.
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 MoreSELECT 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
-----
1.34 ₽ · /balance_help{
"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;
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