Coding Projects
Open in Telegram
Channel specialized for advanced concepts and projects to master: * Python programming * Web development * Java programming * Artificial Intelligence * Machine Learning Managed by: @love_data
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Network:📈 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 67 474 subscribers, ranking 1 884 in the Technologies & Applications category and 4 808 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 67 474 subscribers.
According to the latest data from 02 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 427 over the last 30 days and by -11 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 2.84%. Within the first 24 hours after publication, content typically collects 1.11% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 917 views. Within the first day, a publication typically gains 747 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 5.
- Thematic interests: Content is focused on key topics such as |--, algorithm, array, framework, javascript.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Channel specialized for advanced concepts and projects to master:
* Python programming
* Web development
* Java programming
* Artificial Intelligence
* Machine Learning
Managed by: @love_data”
Thanks to the high frequency of updates (latest data received on 03 September, 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.
67 474
Subscribers
-1124 hours
+1247 days
+42730 days
Posts Archive
67 487
🎓 𝗨𝗽𝘀𝗸𝗶𝗹𝗹 𝗪𝗶𝘁𝗵 𝗚𝗼𝘃𝗲𝗿𝗻𝗺𝗲𝗻𝘁-𝗔𝗽𝗽𝗿𝗼𝘃𝗲𝗱 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘 😍
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67 487
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67 487
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67 487
𝟳 𝗠𝘂𝘀𝘁-𝗛𝗮𝘃𝗲 𝗦𝗸𝗶𝗹𝗹𝘀 𝘁𝗼 𝗟𝗮𝗻𝗱 𝗮 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗮𝗿𝗲𝗲𝗿 𝗶𝗻 𝟮𝟬𝟮𝟱😍
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67 487
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🧪 Real-world SQL Scenarios & Challenges
Let’s dive into the types of real-world problems you’ll encounter as a data analyst, data scientist , data engineer, or developer.
1. Finding Duplicates
SELECT name, COUNT(*)
FROM employees
GROUP BY name
HAVING COUNT(*) > 1;
Perfect for data cleaning and validation tasks.
2. Get the Second Highest Salary
SELECT MAX(salary) AS second_highest
FROM employees
WHERE salary < (
SELECT MAX(salary)
FROM employees
);
3. Running Totals
SELECT name, salary,
SUM(salary) OVER (ORDER BY id) AS running_total
FROM employees;
Essential in dashboards and financial reports.
4. Customers with No Orders
SELECT c.customer_id, c.name
FROM customers c
LEFT JOIN orders o ON c.customer_id = o.customer_id
WHERE o.order_id IS NULL;
Very common in e-commerce or CRM platforms.
5. Monthly Aggregates
SELECT DATE_TRUNC('month', order_date) AS month,
COUNT(*) AS total_orders
FROM orders
GROUP BY month
ORDER BY month;
Great for trends and time-based reporting.
6. Pivot-like Output (Using CASE)
SELECT
department,
COUNT(CASE WHEN gender = 'Male' THEN 1 END) AS male_count,
COUNT(CASE WHEN gender = 'Female' THEN 1 END) AS female_count
FROM employees
GROUP BY department;
Super useful for dashboards and insights.
7. Recursive Queries (Org Hierarchy or Tree)
WITH RECURSIVE employee_tree AS (
SELECT id, name, manager_id
FROM employees
WHERE manager_id IS NULL
UNION ALL
SELECT e.id, e.name, e.manager_id
FROM employees e
INNER JOIN employee_tree et ON e.manager_id = et.id
)
SELECT * FROM employee_tree;
Used in advanced data modeling and tree structures.
You don’t just need to know how SQL works — you need to know when to use it smartly!
React with ❤️ if you’d like me to explain more data analytics topics
Share with credits: https://t.me/sqlspecialist
SQL Roadmap: https://t.me/sqlspecialist/1340
Hope it helps :)
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