Python Programming & AI Resources
β Python Programming Books β Coding Projects β Important Pdfs β Artificial Intelligence Courses β Data Science Notes For promotions: @love_data Buy ads: https://telega.io/c/pythonproz
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Network:π Analytical overview of Telegram channel Python Programming & AI Resources
Channel Python Programming & AI Resources (@pythonproz) in the English language segment is an active participant. Currently, the community unites 13 505 subscribers, ranking 9 140 in the Technologies & Applications category and 29 822 in the India region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 13 505 subscribers.
According to the latest data from 26 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 124 over the last 30 days and by 2 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 16.67%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 251 views. Within the first day, a publication typically gains 0 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 46.
- Thematic interests: Content is focused on key topics such as tuple, comprehension, learning, programming, loop.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
ββ
Python Programming Books
β
Coding Projects
β
Important Pdfs
β
Artificial Intelligence Courses
β
Data Science Notes
For promotions: @love_data
Buy ads: https://telega.io/c/pythonprozβ
Thanks to the high frequency of updates (latest data received on 27 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("Hello, World!")
- Comments: # This is a comment
2. Data Types
- Integer: x = 10
- Float: y = 10.5
- String: name = "Alice"
- List: fruits = ["apple", "banana", "cherry"]
- Tuple: coordinates = (10, 20)
- Dictionary: person = {"name": "Alice", "age": 25}
3. Control Structures
- If Statement:
if x > 10:
print("x is greater than 10")
for fruit in fruits:
print(fruit)
while x < 5:
x += 1
def greet(name):
return f"Hello, {name}!"
add = lambda a, b: a + b
5. Exception Handling
- Try-Except Block:
try:
result = 10 / 0
except ZeroDivisionError:
print("Cannot divide by zero.")
with open('file.txt', 'r') as file:
content = file.read()
with open('file.txt', 'w') as file:
file.write("Hello, World!")
squared = [x**2 for x in range(10)]
- Conditional Comprehension: even_squares = [x**2 for x in range(10) if x % 2 == 0]
8. Modules and Packages
- Import Module: import math
- Import Specific Function: from math import sqrt
9. Common Libraries
- NumPy: import numpy as np
- Pandas: import pandas as pd
- Matplotlib: import matplotlib.pyplot as plt
10. Object-Oriented Programming
- Define Class:
class Dog:
def __init__(self, name):
self.name = name
def bark(self):
return "Woof!"
python -m venv myenv
- Activate Environment:
- Windows: myenv\Scripts\activate
- macOS/Linux: source myenv/bin/activate
12. Common Commands
- Run Script: python script.py
- Install Package: pip install package_name
- List Installed Packages: pip list
This Python checklist serves as a quick reference for essential syntax, functions, and best practices to enhance your coding efficiency!
Checklist for Data Analyst: https://dataanalytics.beehiiv.com/p/data
Here you can find essential Python Interview Resourcesπ
https://t.me/DataSimplifier
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