
Get clients in any niche!
Delegate the launch of advertising to us — for free
Learn more
18.7

Advertising on the Telegram channel «Programming Languages | Web & Mobile Development | SQL | Software Design & Analysis»
5.0
16
Computer science
Language:
English
700
3
Programming Languages | Web & Mobile Development | SQL | Software Design & Analysis
Daily Programming Books and E-Books
Share
Add to favorite
Buy advertising in this channel
Placement Format:
keyboard_arrow_down
- 1/24
- 2/48
- 3/72
- Native
- 7 days
- Forwards
1 hour in the top / 24 hours in the feed
Quantity
%keyboard_arrow_down
- 1
- 2
- 3
- 4
- 5
- 8
- 10
- 15
Advertising publication cost
local_activity
$3.60$3.60local_mall
0.0%
Remaining at this price:0
Recent Channel Posts
imageImage preview is unavailable
250 Coursera FREE Courses [Data Science, Machine Learning, Python] 2024 🐍
🔗 Link: https://www.mltut.com/coursera-free-courses/
📂 Tags: #DataScience #Python #ML #AI #courses
http://t.me/codeprogrammer⭐️
The opportunity is not too late, register before it is too late😮
http://t.me/codeprogrammer
The opportunity is not too late, register before it is too late
1300
13:41
05.05.2025
imageImage preview is unavailable
250 Coursera FREE Courses [Data Science, Machine Learning, Python] 2024 🐍
🔗 Link: https://www.mltut.com/coursera-free-courses/
📂 Tags: #DataScience #Python #ML #AI #courses
http://t.me/codeprogrammer⭐️
The opportunity is not too late, register before it is too late😮
http://t.me/codeprogrammer
The opportunity is not too late, register before it is too late
1300
13:41
05.05.2025
imageImage preview is unavailable
This channels is for Programmers, Coders, Software Engineers.
0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages
✅ https://t.me/addlist/8_rRW2scgfRhOTc0
✅ https://t.me/Codeprogrammer
385
07:29
05.05.2025
imageImage preview is unavailable
𝗦𝗤𝗟 𝗝𝗼𝗶𝗻𝘀 𝗖𝗵𝗲𝗮𝘁𝘀𝗵𝗲𝗲𝘁 - 𝗙𝘂𝗹𝗹𝘆 𝗘𝘅𝗽𝗹𝗮𝗶𝗻𝗲𝗱
𝗪𝗵𝘆 𝗷𝗼𝗶𝗻𝘀 𝗺𝗮𝘁𝘁𝗲𝗿?
Joins let you combine data from multiple tables to extract meaningful insights.
Every serious data analyst or backend dev should master these.
Let’s break them down with clarity:
𝗜𝗡𝗡𝗘𝗥 𝗝𝗢𝗜𝗡
→ Returns only the rows with matching keys in both tables
→ Think of it as intersection
𝗘𝘅𝗮𝗺𝗽𝗹𝗲:
Customers who have placed at least one order
SELECT *
FROM Customers
INNER JOIN Orders
ON Customers.ID = Orders.CustomerID;
𝗟𝗘𝗙𝗧 𝗝𝗢𝗜𝗡 (𝗢𝗨𝗧𝗘𝗥)
→ Returns all rows from the left table + matching rows from the right
→ If no match, right side = NULL
𝗘𝘅𝗮𝗺𝗽𝗹𝗲:
List all customers, even if they’ve never ordered
SELECT *
FROM Customers
LEFT JOIN Orders
ON Customers.ID = Orders.CustomerID;
𝗥𝗜𝗚𝗛𝗧 𝗝𝗢𝗜𝗡 (𝗢𝗨𝗧𝗘𝗥)
→ Returns all rows from the right table + matching rows from the left
→ Rarely used, but similar logic
𝗘𝘅𝗮𝗺𝗽𝗹𝗲:
All orders, even from unknown or deleted customers
SELECT *
FROM Customers
RIGHT JOIN Orders
ON Customers.ID = Orders.CustomerID;
𝗙𝗨𝗟𝗟 𝗢𝗨𝗧𝗘𝗥 𝗝𝗢𝗜𝗡
→ Returns all records when there’s a match in either table
→ Unmatched rows = NULLs
𝗘𝘅𝗮𝗺𝗽𝗹𝗲:
Show all customers and all orders, whether matched or not
SELECT *
FROM Customers
FULL OUTER JOIN Orders
ON Customers.ID = Orders.CustomerID;
𝗖𝗥𝗢𝗦𝗦 𝗝𝗢𝗜𝗡
→ Returns Cartesian product (all combinations)
→ Use with care. 1,000 x 1,000 rows = 1,000,000 results!
𝗘𝘅𝗮𝗺𝗽𝗹𝗲:
Show all possible product and supplier pairings
SELECT *
FROM Products
CROSS JOIN Suppliers;
𝗦𝗘𝗟𝗙 𝗝𝗢𝗜𝗡
→ Join a table to itself
→ Used for hierarchical data like employees & managers
𝗘𝘅𝗮𝗺𝗽𝗹𝗲:
Find each employee’s manager
SELECT A.Name AS Employee, B.Name AS Manager
FROM Employees A
JOIN Employees B
ON A.ManagerID = B.ID;
𝗕𝗲𝘀𝘁 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀
→ Always use aliases (A, B) to simplify joins
→ Use JOIN ON instead of WHERE for better clarity
→ Test each join with LIMIT first to avoid surprises
---
𝗪𝗵𝘆 𝗷𝗼𝗶𝗻𝘀 𝗺𝗮𝘁𝘁𝗲𝗿?
Joins let you combine data from multiple tables to extract meaningful insights.
Every serious data analyst or backend dev should master these.
Let’s break them down with clarity:
𝗜𝗡𝗡𝗘𝗥 𝗝𝗢𝗜𝗡
→ Returns only the rows with matching keys in both tables
→ Think of it as intersection
𝗘𝘅𝗮𝗺𝗽𝗹𝗲:
Customers who have placed at least one order
SELECT *
FROM Customers
INNER JOIN Orders
ON Customers.ID = Orders.CustomerID;
𝗟𝗘𝗙𝗧 𝗝𝗢𝗜𝗡 (𝗢𝗨𝗧𝗘𝗥)
→ Returns all rows from the left table + matching rows from the right
→ If no match, right side = NULL
𝗘𝘅𝗮𝗺𝗽𝗹𝗲:
List all customers, even if they’ve never ordered
SELECT *
FROM Customers
LEFT JOIN Orders
ON Customers.ID = Orders.CustomerID;
𝗥𝗜𝗚𝗛𝗧 𝗝𝗢𝗜𝗡 (𝗢𝗨𝗧𝗘𝗥)
→ Returns all rows from the right table + matching rows from the left
→ Rarely used, but similar logic
𝗘𝘅𝗮𝗺𝗽𝗹𝗲:
All orders, even from unknown or deleted customers
SELECT *
FROM Customers
RIGHT JOIN Orders
ON Customers.ID = Orders.CustomerID;
𝗙𝗨𝗟𝗟 𝗢𝗨𝗧𝗘𝗥 𝗝𝗢𝗜𝗡
→ Returns all records when there’s a match in either table
→ Unmatched rows = NULLs
𝗘𝘅𝗮𝗺𝗽𝗹𝗲:
Show all customers and all orders, whether matched or not
SELECT *
FROM Customers
FULL OUTER JOIN Orders
ON Customers.ID = Orders.CustomerID;
𝗖𝗥𝗢𝗦𝗦 𝗝𝗢𝗜𝗡
→ Returns Cartesian product (all combinations)
→ Use with care. 1,000 x 1,000 rows = 1,000,000 results!
𝗘𝘅𝗮𝗺𝗽𝗹𝗲:
Show all possible product and supplier pairings
SELECT *
FROM Products
CROSS JOIN Suppliers;
𝗦𝗘𝗟𝗙 𝗝𝗢𝗜𝗡
→ Join a table to itself
→ Used for hierarchical data like employees & managers
𝗘𝘅𝗮𝗺𝗽𝗹𝗲:
Find each employee’s manager
SELECT A.Name AS Employee, B.Name AS Manager
FROM Employees A
JOIN Employees B
ON A.ManagerID = B.ID;
𝗕𝗲𝘀𝘁 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀
→ Always use aliases (A, B) to simplify joins
→ Use JOIN ON instead of WHERE for better clarity
→ Test each join with LIMIT first to avoid surprises
---
1100
10:47
03.05.2025
imageImage preview is unavailable
810
06:40
28.04.2025
فرصة عمل عن بعد 🧑💻
لا يتطلب اي مؤهل او خبره الشركه تقدم تدريب كامل✨
ساعات العمل مرنه⏰
يتم التسجيل ثم التواصل معك لحضور لقاء تعريفي بالعمل والشركه
https://forms.gle/hqUZXu7u4uLjEDPv8
لا يتطلب اي مؤهل او خبره الشركه تقدم تدريب كامل
ساعات العمل مرنه
يتم التسجيل ثم التواصل معك لحضور لقاء تعريفي بالعمل والشركه
https://forms.gle/hqUZXu7u4uLjEDPv8
1600
20:10
27.04.2025
imageImage preview is unavailable
This channels is for Programmers, Coders, Software Engineers.
0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages
✅ https://t.me/addlist/8_rRW2scgfRhOTc0
✅ https://t.me/Codeprogrammer
23
12:50
23.04.2025
imageImage preview is unavailable
#𝗦𝗤𝗟 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗖𝗵𝗲𝗮𝘁𝘀𝗵𝗲𝗲𝘁 → 𝗖𝗿𝗮𝗰𝗸 𝗔𝗻𝘆 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗪𝗶𝘁𝗵 𝗧𝗵𝗲𝘀𝗲 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀
➜ 𝟭. 𝗦𝗤𝗟 𝗝𝗼𝗶𝗻𝘀 → Combine data from multiple tables
🡆 INNER JOIN → Returns matching records from both tables
🡆 LEFT JOIN → Returns all records from the left table + matches from the right
🡆 RIGHT JOIN → Returns all records from the right table + matches from the left
🡆 FULL JOIN → Returns all records from both tables
➜ 𝟮. 𝗗𝗔𝗧𝗔 𝗙𝗜𝗟𝗧𝗘𝗥𝗜𝗡𝗚 → Retrieve specific records efficiently
🡆 WHERE → Filters rows before aggregation
🡆 HAVING → Filters after aggregation
🡆 BETWEEN, IN, LIKE → Advanced filtering
➜ 𝟯. 𝗔𝗚𝗚𝗥𝗘𝗚𝗔𝗧𝗜𝗢𝗡 & 𝗚𝗥𝗢𝗨𝗣𝗜𝗡𝗚 → Summarize data
🡆 GROUP BY → Groups data based on a column
🡆 COUNT, SUM, AVG, MIN, MAX → Perform calculations
➜ 𝟰. 𝗦𝗨𝗕𝗤𝗨𝗘𝗥𝗜𝗘𝗦 & 𝗖𝗧𝗘𝘀 → Break complex queries
🡆 Subquery → Nested query inside another query
🡆 Common Table Expressions (CTE) → Temporary named query
➜ 𝟱. 𝗜𝗡𝗗𝗘𝗫𝗜𝗡𝗚 & 𝗢𝗣𝗧𝗜𝗠𝗜𝗭𝗔𝗧𝗜𝗢𝗡 → Speed up queries
🡆 Indexes → Improve search speed
🡆 EXPLAIN PLAN → Analyze query performance
➜ 𝟲. 𝗔𝗗𝗩𝗔𝗡𝗖𝗘𝗗 𝗦𝗤𝗟 𝗧𝗢𝗣𝗜𝗖𝗦
🡆 Window Functions → RANK, ROW_NUMBER, LEAD, LAG
🡆 Stored Procedures & Triggers → Automate tasks
🡆 Normalization & Denormalization → Optimize database design
⚡️ BEST DATA SCIENCE CHANNELS ON TELEGRAM 🌟
➜ 𝟭. 𝗦𝗤𝗟 𝗝𝗼𝗶𝗻𝘀 → Combine data from multiple tables
🡆 INNER JOIN → Returns matching records from both tables
🡆 LEFT JOIN → Returns all records from the left table + matches from the right
🡆 RIGHT JOIN → Returns all records from the right table + matches from the left
🡆 FULL JOIN → Returns all records from both tables
➜ 𝟮. 𝗗𝗔𝗧𝗔 𝗙𝗜𝗟𝗧𝗘𝗥𝗜𝗡𝗚 → Retrieve specific records efficiently
🡆 WHERE → Filters rows before aggregation
🡆 HAVING → Filters after aggregation
🡆 BETWEEN, IN, LIKE → Advanced filtering
➜ 𝟯. 𝗔𝗚𝗚𝗥𝗘𝗚𝗔𝗧𝗜𝗢𝗡 & 𝗚𝗥𝗢𝗨𝗣𝗜𝗡𝗚 → Summarize data
🡆 GROUP BY → Groups data based on a column
🡆 COUNT, SUM, AVG, MIN, MAX → Perform calculations
➜ 𝟰. 𝗦𝗨𝗕𝗤𝗨𝗘𝗥𝗜𝗘𝗦 & 𝗖𝗧𝗘𝘀 → Break complex queries
🡆 Subquery → Nested query inside another query
🡆 Common Table Expressions (CTE) → Temporary named query
➜ 𝟱. 𝗜𝗡𝗗𝗘𝗫𝗜𝗡𝗚 & 𝗢𝗣𝗧𝗜𝗠𝗜𝗭𝗔𝗧𝗜𝗢𝗡 → Speed up queries
🡆 Indexes → Improve search speed
🡆 EXPLAIN PLAN → Analyze query performance
➜ 𝟲. 𝗔𝗗𝗩𝗔𝗡𝗖𝗘𝗗 𝗦𝗤𝗟 𝗧𝗢𝗣𝗜𝗖𝗦
🡆 Window Functions → RANK, ROW_NUMBER, LEAD, LAG
🡆 Stored Procedures & Triggers → Automate tasks
🡆 Normalization & Denormalization → Optimize database design
2300
09:34
23.04.2025
265
12:27
21.04.2025
imageImage preview is unavailableplay_circleVideo preview is unavailable
【DPK-AI Trading】Automatic quantitative system can automatically search for the lowest selling price of digital currencies such as BTC, ETH, USDT, etc. on major exchanges, and quickly purchase them in seconds.
1.DPKAI-quantification, deposits and withdrawals are automatically credited.
2. VIP1-VIP11, quantitative income 20% -35% income.
3. Support multi-currency, smart investment income 25%% up to 40% income.
4. Quantification is reset every 24 hours, and each person can participate in quantitative trading income once a day.
5. Recommend three-level agent invitation rewards, the more invitations, the more rewards, there is no upper limit [A reward 10%, B reward 5%, C reward 3% = 18% reward], send the invitation link to share to your social software, such as: Tiktok, Facebook, Twitter, YouTube, Instagram, WhatsApp group, Telegram group, etc.
【DPK-AI Trading】Registration link: https://dpk-ai.com/#/register?ref=206676
【DPK-AI Trading】Online customer service: https://chat.ssrchat.com/service/gomw2j
1.DPKAI-quantification, deposits and withdrawals are automatically credited.
2. VIP1-VIP11, quantitative income 20% -35% income.
3. Support multi-currency, smart investment income 25%% up to 40% income.
4. Quantification is reset every 24 hours, and each person can participate in quantitative trading income once a day.
5. Recommend three-level agent invitation rewards, the more invitations, the more rewards, there is no upper limit [A reward 10%, B reward 5%, C reward 3% = 18% reward], send the invitation link to share to your social software, such as: Tiktok, Facebook, Twitter, YouTube, Instagram, WhatsApp group, Telegram group, etc.
【DPK-AI Trading】Registration link: https://dpk-ai.com/#/register?ref=206676
【DPK-AI Trading】Online customer service: https://chat.ssrchat.com/service/gomw2j
【DPK-AI Trading】Automatic quantitative system can automatically search for the lowest selling price of digital currencies such as BTC, ETH, USDT, etc. on major exchanges, and quickly purchase them in seconds.
1.DPKAI-quantification, deposits and withdrawals are automatically credited.
2. VIP1-VIP11, quantitative income 20% -35% income.
3. Support multi-currency, smart investment income 25%% up to 40% income.
4. Quantification is reset every 24 hours, and each person can participate in quantitative trading income once a day.
5. Recommend three-level agent invitation rewards, the more invitations, the more rewards, there is no upper limit [A reward 10%, B reward 5%, C reward 3% = 18% reward], send the invitation link to share to your social software, such as: Tiktok, Facebook, Twitter, YouTube, Instagram, WhatsApp group, Telegram group, etc.
【DPK-AI Trading】Registration link: https://dpk-ai.com/#/register?ref=206676
【DPK-AI Trading】Online customer service: https://chat.ssrchat.com/service/gomw2j
1.DPKAI-quantification, deposits and withdrawals are automatically credited.
2. VIP1-VIP11, quantitative income 20% -35% income.
3. Support multi-currency, smart investment income 25%% up to 40% income.
4. Quantification is reset every 24 hours, and each person can participate in quantitative trading income once a day.
5. Recommend three-level agent invitation rewards, the more invitations, the more rewards, there is no upper limit [A reward 10%, B reward 5%, C reward 3% = 18% reward], send the invitation link to share to your social software, such as: Tiktok, Facebook, Twitter, YouTube, Instagram, WhatsApp group, Telegram group, etc.
【DPK-AI Trading】Registration link: https://dpk-ai.com/#/register?ref=206676
【DPK-AI Trading】Online customer service: https://chat.ssrchat.com/service/gomw2j
740
06:34
21.04.2025
close
Reviews channel
keyboard_arrow_down
- Added: Newest first
- Added: Oldest first
- Rating: High to low
- Rating: Low to high
5.0
2 reviews over 6 months
Excellent (100%) In the last 6 months
a
**ilnik52@*****.com
On the service since January 2025
06.02.202514:41
5
vary good
Show more
New items
Channel statistics
Rating
18.7
Rating reviews
5.0
Сhannel Rating
47
Subscribers:
23.2K
APV
lock_outline
ER
1.7%
Posts per day:
0.0
CPM
lock_outlineSelected
0
channels for:$0.00
Subscribers:
0
Views:
lock_outline
Add to CartBuy for:$0.00
Комментарий