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Категория: Технологии


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Связанные каналы

Гео и язык канала
Эфиопия, Английский
Категория
Технологии
Статистика
Фильтр публикаций


Good night 😴


Roadmap to Become Web3 Developer :

📂 Learn HTML
∟📂 Learn CSS
∟📂 Learn JavaScript
∟📂 Learn React
∟📂 Learn Solidity
∟📂 Learn Ether.js
∟📂 Learn L2
∟📂 Build Projects
∟ ✅ Start Applying for Job’s


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Python Vs Other programming languages


It’s always better to regret the things you do than the things you didn’t do. Wish you a marvellous week.


Planning to take those little mosques to my Muslim friend’s home after all, it’s the perfect time hehe 😋😋😋

👀©️studyvibewithnova








My daddy always told me to just do the best you knew how and tell the truth. He said there was nothin to set a man’s mind at ease like wakin up in the morning and not havin to decide who you were. And if you done somethin wrong just stand up and say you done it and say you’re sorry and get on with it. Dont haul stuff around with you.

~ Cormac McCarthy, No Country for Old Men


NativeChat

NativeChat is a powerful app made to make your mobile AI conversations more useful using Gemini under the hood and allowing it to access device information like system specs, call logs, SMS, battery and more.


NativeChat.apk
24.4Мб
v1.0.1

This should fix most of the issues you raised in the comments. Enjoy :)

It's make also Ai app so check it

#MyProjects #NativeChat

👏Dagmawi_Babi


Let's celebrate together fam 😊😁

Show ur reaction eski🥳🕺


400 🥳🥳


399 👀


🌟 Day 4: Mastering SQL – Joining Tables 🌟

Hey everyone! Welcome to Day 4 of our SQL series. We’ve covered the basics and learned how to filter and sort data. Today, we’re diving into one of the most powerful features of SQL—joining tables. This allows you to combine data from multiple tables to gain deeper insights.

Understanding SQL Joins
Joins are used to combine rows from two or more tables based on a related column between them. There are several types of joins, each serving a different purpose.

1. INNER JOIN
The INNER JOIN keyword selects records that have matching values in both tables.

Example
:
 Combine “Employees” and “Departments” tables where the Department ID matches
SELECT Employees.Name, Departments.DepartmentName
FROM Employees
INNER JOIN Departments ON Employees.DepartmentID = Departments.DepartmentID;


2. LEFT JOIN (or LEFT OUTER JOIN)
The LEFT JOIN keyword returns all records from the left table, and the matched records from the right table. If there is no match, the result is NULL from the right table.

Example:
 Retrieve all employees and their departments, even if some employees are not assigned to a department
SELECT Employees.Name, Departments.DepartmentName
FROM Employees
LEFT JOIN Departments ON Employees.DepartmentID = Departments.DepartmentID;


3. RIGHT JOIN (or RIGHT OUTER JOIN)
The RIGHT JOIN keyword returns all records from the right table, and the matched records from the left table. If there is no match, the result is NULL from the left table.

Example:
 Retrieve all departments and their employees, even if some departments have no employees
SELECT Employees.Name, Departments.DepartmentName
FROM Employees
RIGHT JOIN Departments ON Employees.DepartmentID = Departments.DepartmentID;


4. FULL JOIN (or FULL OUTER JOIN)
The FULL JOIN keyword returns all records when there is a match in either left or right table. If there is no match, the result is NULL for missing matches in either table.

Example:
 Combine all employees and departments, showing employees with no departments and departments with no employees
SELECT Employees.Name, Departments.DepartmentName
FROM Employees
FULL JOIN Departments ON Employees.DepartmentID = Departments.DepartmentID;


Practice Challenge
Try these challenges to test your skills:
1. Use an INNER JOIN to find all employees and their department names.
2. Use a LEFT JOIN to list all employees, including those not assigned to any department.
3. Use a FULL JOIN to combine all employees and departments, displaying all possible matches.

That’s it for today! Tomorrow, we’ll explore subqueries and nested queries to perform more complex data retrieval. 💻✨

Got any questions or examples you’d like to share? Drop them in the comments. Your feedback is always appreciated! 😊🚀


Looking forward to seeing your progress! 🚀✨


🌟 Apology for Missing Day 4 🌟

Hey everyone! I hope you're all doing well. I just wanted to apologize for not broadcasting Day 4 of our SQL series on time. Life can get busy, and sometimes things slip through the cracks. I appreciate your understanding and patience.

We'll be catching up today with an exciting lesson on joining tables in SQL. Thanks for sticking with me, and I'm looking forward to diving back into our SQL journey together! 🚀✨


What was the problem with Skype ?😊


When you can't be controlled, you will be hated.


Good morning guys 🤠


Good night 😘😴

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