Coding_knowledge
💡 Your Coding Journey Starts Here! Get free courses, coding resources, internships, job updates & much more. Stay ahead in tech with us! ❤️🚀 Join our WhatsApp group👇 https://whatsapp.com/channel/0029Vaa7CVhCRs1rxJzy1n3D
Show more📈 Analytical overview of Telegram channel Coding_knowledge
Channel Coding_knowledge (@coding_knwledge01) in the English language segment is an active participant. Currently, the community unites 79 500 subscribers, ranking 1 554 in the Technologies & Applications category and 3 813 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 79 500 subscribers.
According to the latest data from 29 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -930 over the last 30 days and by -14 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 8.66%. Within the first 24 hours after publication, content typically collects 2.65% reactions from the total number of subscribers.
- Post reach: On average, each post receives 6 886 views. Within the first day, a publication typically gains 2 106 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 15.
- Thematic interests: Content is focused on key topics such as q&a, goody, api, stack, analyst.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“💡 Your Coding Journey Starts Here!
Get free courses, coding resources, internships, job updates & much more.
Stay ahead in tech with us! ❤️🚀
Join our WhatsApp group👇
https://whatsapp.com/channel/0029Vaa7CVhCRs1rxJzy1n3D”
Thanks to the high frequency of updates (latest data received on 30 August, 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.
print(), variables, and basic math
• Practice with online REPLs or Jupyter Notebooks
✅ Step 2: Understand Core Concepts
• Data types: int, str, list, dict, bool
• Control flow: if, elif, else, for, while
• Functions & return values
✅ Step 3: Apply Logic with Mini-Tasks
• Reverse a string
• Count vowels
• Find max of three numbers
• FizzBuzz
✅ Step 4: Learn by Projects, Not Just Theory
• Weather App (API + CLI)
• BMI Calculator
• File Renamer
• Basic Password Generator
✅ Step 5: Learn Libraries When Needed
• pandas for data
• requests for APIs
• matplotlib for plots
• re for regex
✅ Step 6: Build a Strong Habit
• Code 30 mins daily
• Track progress in a doc
• Focus on learning, not perfection
✅ Step 7: Explore Career Paths with Python
• Data Science → NumPy, pandas
• Web Dev → Flask, Django
• Automation → Selenium, os, shutil
• AI/ML → scikit-learn, TensorFlow
Don’t rush. Write. Debug. Learn. Repeat.
💬 Double Tap ♥️ For More!print("Hello, World!")
2️⃣ Variables
Used to store data in memory that can be used later.
name = "Alice"
age = 25
3️⃣ Data Types
Python supports various built-in types like integers, strings, floats, booleans, lists, and dictionaries.
x = 10 # int
pi = 3.14 # float
text = "Hi" # string
is_valid = True # bool
colors = ["red", "blue"] # list
user = {"name": "Bob", "age": 30} # dictionary
4️⃣ Conditional Statements
Used to make decisions based on conditions (if, elif, else).
if age >= 18:
print("Adult")
else:
print("Minor")
5️⃣ Loops
Used to repeat a block of code.
for loop
for i in range(3):
print(i)
while loop
count = 0
while count < 3:
print(count)
count += 1
6️⃣ Functions
Reusable blocks of code that perform a task.
def greet(name):
return f"Hello, {name}"
print(greet("Sara"))
7️⃣ Lists
Ordered, mutable collection of items.
fruits = ["apple", "banana", "cherry"]
print(fruits[1]) # banana
8️⃣ Dictionaries
Stores data as key-value pairs.
person = {"name": "John", "age": 30}
print(person["name"])
9️⃣ File Handling
Used to read/write files.
with open("data.txt", "r") as file:
content = file.read()
print(content)
🔟 Modules & Imports
Lets you use external code and libraries.
import math
print(math.sqrt(16))
💬 Tap ❤️ for more!PRIMARY KEY – Uniquely identifies each row
- FOREIGN KEY – Links to another table
- UNIQUE – Ensures all values are different
- NOT NULL – Column must have a value
- CHECK – Validates data before insert/update
2️⃣ SQL Views:
Virtual tables based on result of a query
CREATE VIEW top_students AS
SELECT name, marks FROM students WHERE marks > 90;
3️⃣ Indexing:
Improves query performance
CREATE INDEX idx_name ON employees(name);
4️⃣ SQL Transactions:
Ensure data integrity
BEGIN;
UPDATE accounts SET balance = balance - 100 WHERE id = 1;
UPDATE accounts SET balance = balance + 100 WHERE id = 2;
COMMIT;
5️⃣ Triggers:
Automatic actions when events occur
CREATE TRIGGER log_update
AFTER UPDATE ON employees
FOR EACH ROW
INSERT INTO logs(action) VALUES ('Employee updated');
6️⃣ Stored Procedures:
Reusable blocks of SQL logic
CREATE PROCEDURE getTopStudents()
BEGIN
SELECT * FROM students WHERE marks > 90;
END;
7️⃣ Common Table Expressions (CTEs):
Temporary named result sets
WITH dept_count AS (
SELECT department, COUNT(*) AS total FROM employees GROUP BY department
)
SELECT * FROM dept_count;
💬 Double Tap ❤️ For More!