𝘍𝘳𝘦𝘦 𝘐𝘯𝘵𝘦𝘳𝘯𝘦𝘵 𝘝𝘗𝘕

❗️ይኸው full Video ✔️ 📌በOnline ግዢ (Online Shopping) ለመፈጸም። 📌በተለያዩ Apps እና Websites ላይ ክፍያ ለመክፈል። 📌 Subscription ክፍያዎችን ለመክፈል። 📌 International የኦንላይን ክፍያዎች ለመፈጸም ይጠቅማችሁአል። 📌 Referral Code ይሄን አስገቡ 👉 [ RPYTNW ] ➡️ @internet_366 ➡️ @internet_366

❗️ይኸው full Video ✔️ 📌በOnline ግዢ (Online Shopping) ለመፈጸም። 📌በተለያዩ Apps እና Websites ላይ ክፍያ ለመክፈል። 📌 Subscription ክፍያዎችን ለመክፈል። 📌 International የኦንላይን ክፍያዎች ለመፈጸም ይጠቅማችሁአል። 📌 Referral Code ይሄን አስገቡ 👉 [ RPYTNW ] ➡️ @internet_366 ➡️ @internet_366

Daily drop of cinematic supercar & JDM edits for pure INSPIRATION ✨ today #ad 📢 InsideAd

import sqlite3

# Connect to database
conn = sqlite3.connect('mydb.db')
cursor = conn.cursor()

# Create table
cursor.execute('''
CREATE TABLE IF NOT EXISTS users (
  id INTEGER PRIMARY KEY,
  name TEXT NOT NULL,
  email TEXT UNIQUE,
  age INTEGER
)
''')

# Insert data
cursor.execute(
  "INSERT INTO users (name, email, age) VALUES (?, ?, ?)",
  ('John', 'john@email.com', 25)
)

# Query data
cursor.execute("SELECT * FROM users")
users = cursor.fetchall()
for user in users:
  print(user)

# Commit and close
conn.commit()
conn.close()

—————————————— *🎯 Best Practices* ✅ Use meaningful table/column names (users not u) ✅ Always define PRIMARY KEY for each table ✅ Use NOT NULL for required fields ✅ Add INDEX on columns used in WHERE clauses ✅ Use transactions for multiple operations ✅ Backup regularly ✅ Use parameterized queries (prevent SQL injection) —————————————— *🧠 Common Mistakes* ❌ Not using indexes (slow queries) ❌ Forgetting WHERE in UPDATE/DELETE (updates ALL rows!) ❌ Storing passwords as plain text (use hashing) ❌ Not normalizing data (redundant information) ❌ Ignoring NULL values in queries ❌ Using SELECT * in production —————————————— *📚 Popular SQL Databases* • *PostgreSQL* → Advanced, open-source, feature-rich • *MySQL* → Popular, fast, easy to start • *SQLite* → Lightweight, file-based, mobile • *Microsoft SQL* → Enterprise, powerful, paid • *Oracle* → Large enterprise, expensive • *MariaDB* → MySQL fork, open-source —————————————— *🔍 Quick SQL Cheatsheet* Show all databases: SHOW DATABASES; Use a database: USE mydb; Show all tables: SHOW TABLES; Describe table: DESCRIBE users; Drop table: DROP TABLE users; Add column: ALTER TABLE users ADD COLUMN phone VARCHAR(20); Delete column: ALTER TABLE users DROP COLUMN phone; —————————————— *🎓 Summary* DATABASE → Contains TABLES TABLE → Has COLUMNS (fields) and ROWS (records) SQL → Language to manage data Primary Key → Unique ID for each row Foreign Key → Links tables together JOIN → Combines data from multiple tables Show reaction to this kind of post in future

*🗄️ SQL Databases - The Complete Beginner's Guide* *🤔 What is a SQL Database?* SQL = Structured Query Language It's like a digital filing cabinet: • Data is stored in TABLES (like spreadsheets) • Each table has ROWS (records) and COLUMNS (fields) • You use SQL queries to add, read, update, or delete data —————————————— *🏗️ Database Structure*

DATABASE
  └── TABLE 1 (Users)
        ├── Columns: id, name, email, age
        └── Rows: (1, "John", "john@email.com", 25)
                  (2, "Sarah", "sarah@email.com", 30)
  └── TABLE 2 (Orders)
        ├── Columns: order_id, user_id, product, price
        └── Rows: (101, 1, "Laptop", 999)
                  (102, 2, "Phone", 599)

—————————————— *📊 Common Data Types* INT → Whole numbers (age, quantity) VARCHAR(n) → Text with max length (name, email) TEXT → Long text (description, comments) DATE → Date values (birthday, created_at) BOOLEAN → True/False (is_active, verified) DECIMAL(10,2) → Numbers with decimals (price, salary) BIGINT → Large whole numbers (user_id, order_id) TIMESTAMP → Date + Time (created_at, updated_at) —————————————— *📝 SQL Commands (CRUD Operations)* *🔍 READ (SELECT)*

SELECT * FROM users;
SELECT name, email FROM users WHERE age > 18;
SELECT * FROM users ORDER BY name ASC;

*➕ CREATE (INSERT)*

INSERT INTO users (name, email, age) 
VALUES ('John', 'john@email.com', 25);

*✏️ UPDATE (UPDATE)*

UPDATE users SET age = 26 WHERE name = 'John';

*❌ DELETE (DELETE)*

DELETE FROM users WHERE name = 'John';

—————————————— *🔗 Table Relationships* *1️⃣ One-to-One (1:1)* User ↔ Passport (one user has one passport) *2️⃣ One-to-Many (1:N)* User ↔ Orders (one user can have many orders) users.id = orders.user_id *3️⃣ Many-to-Many (N:N)* Students ↔ Courses (many students can take many courses) Uses a JOIN TABLE (enrollments) —————————————— *🏗️ Creating Tables Example*

CREATE TABLE users (
  id INT PRIMARY KEY AUTO_INCREMENT,
  name VARCHAR(100) NOT NULL,
  email VARCHAR(255) UNIQUE NOT NULL,
  age INT CHECK (age >= 18),
  created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);

CREATE TABLE orders (
  order_id INT PRIMARY KEY AUTO_INCREMENT,
  user_id INT,
  product VARCHAR(255) NOT NULL,
  price DECIMAL(10,2),
  order_date DATE DEFAULT CURRENT_DATE,
  FOREIGN KEY (user_id) REFERENCES users(id)
);

—————————————— *🔑 Important Keys* PRIMARY KEY → Unique identifier for each row (id) FOREIGN KEY → Links to another table's primary key (user_id) UNIQUE KEY → Ensures all values are different (email) INDEX → Speeds up searches (index on name) —————————————— *📊 Real Example - E-Commerce Database* *Tables:* 1. customers (id, name, email, phone) 2. products (id, name, price, stock) 3. orders (id, customer_id, order_date) 4. order_items (id, order_id, product_id, quantity) *Query to get customer orders:*

SELECT c.name, p.name AS product, oi.quantity, p.price
FROM customers c
JOIN orders o ON c.id = o.customer_id
JOIN order_items oi ON o.id = oi.order_id
JOIN products p ON oi.product_id = p.id
WHERE c.id = 1;

—————————————— *⚡ Advanced SQL Concepts* *WHERE Filters*

SELECT * FROM users WHERE age BETWEEN 20 AND 30;
SELECT * FROM users WHERE name LIKE 'J%';  -- starts with J

*GROUP BY (Aggregations)*

SELECT country, COUNT(*) FROM users GROUP BY country;
SELECT AVG(age) FROM users;

*JOIN Types* • INNER JOIN → Only matching records • LEFT JOIN → All from left table + matches • RIGHT JOIN → All from right table + matches • FULL JOIN → All records from both —————————————— *🛠️ Common SQL Functions* COUNT() → Count rows → SELECT COUNT(*) FROM users; SUM() → Add values → SELECT SUM(price) FROM orders; AVG() → Average → SELECT AVG(age) FROM users; MAX() → Maximum value → SELECT MAX(price) FROM products; MIN() → Minimum value → SELECT MIN(price) FROM products; NOW() → Current time → INSERT INTO logs (timestamp) VALUES (NOW()); —————————————— *💻 Python Example with SQLite*

Buying tinder accounts 🌐 Male age 27+ Female age 23+ 2014-2025 Good rates for 2025 7-12 CHECK FIRST: @Tinder_checker3bot Bulk sellers = top priority. Quick payment. DM here @codeofsaladin

Transform Your Photos Instantly 🔥 Are you ready to elevate your selfies? 🚀 Unleash the magic of Mimika.AI - where your ordinary photos become extraordinary in just seconds! Imagine creating stunning portraits, personalized avatars, and engaging videos without any editing skills! 👩‍🎨✨ With a plethora of styles to choose from, you can achieve eye-catching results perfect for every social media platform. 📸 - 🎨 Unique Styles: From cinematic scenes to fantasy characters! - ⚡ Instant Results: Transform your images in seconds! - 🌟 Creative Expression: Stand out like never before! Join thousands of satisfied users and discover your creative side today! 👉 Get Started Now #ad 📢 InsideAd

🆕 ፈጣን የትርጉም እና የገቢ ማስገኛ ቦት!😀 ጽሑፎችን ከ100 በላይ ቋንቋዎች መተርጎም፣ ከፎቶ ላይ ጽሑፍ ማውጣት (OCR) እና ጓደኞችን በመጋበዝ ገንዘብ መስራት ይፈልጋሉ? ይህን ሁለገብ ቦት አሁኑኑ ይጠቀሙ! 😀 💡 ዋና ዋና አገልግሎቶች: • 🌐 ፈጣን የጽሑፍ ትርጉም — ከ100 በላይ አለም አቀፍ እና የሀገር ውስጥ ቋንቋዎች (አማርኛ፣ ኦሮምኛ፣ ትግርኛ፣ ሶማሊኛ፣ እንግሊዝኛ...) • 📌 ምስል አንባቢ (OCR) — ከማንኛውም ፎቶ ላይ ጽሑፍ በቀላሉ ማውጣት • 💎 ገቢ ማግኘት — ጓደኞችን በመጋበዝ በእያንዳንዱ ሰው 1 ብር ያግኙ • 💵 ፈጣን ክፍያ — በቴሌብር (Telebirr) አስተማማኝ እና ፈጣን ወጪ አደራረግ 🎯 አሁኑኑ ቦቱን አስጀምረው መስራት ይጀምሩ: 👉 @Amharic_Translate_Robot