Available now! Telegram Research 2025 โ the year's key insights 
Python Interviews
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Join this channel to learn python for web development, data science, artificial intelligence and machine learning with quizzes, projects and amazing resources for free For collaborations: @coderfun
Show more๐ Analytical overview of Telegram channel Python Interviews
Channel Python Interviews (@pythoninterviews) in the English language segment is an active participant. Currently, the community unites 28 765 subscribers, ranking 4 787 in the Technologies & Applications category and 15 187 in the India region.
๐ Audience metrics and dynamics
Since its creation on ะฝะตะฒัะดะพะผะพ, the project has demonstrated rapid growth, gathering an audience of 28 765 subscribers.
According to the latest data from 05 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 88 over the last 30 days and by 6 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 0.63%. Within the first 24 hours after publication, content typically collects 0.81% reactions from the total number of subscribers.
- Post reach: On average, each post receives 181 views. Within the first day, a publication typically gains 234 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 1.
- Thematic interests: Content is focused on key topics such as |--, link:-, learning, sql, analytic.
๐ Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
โJoin this channel to learn python for web development, data science, artificial intelligence and machine learning with quizzes, projects and amazing resources for free
For collaborations: @coderfunโ
Thanks to the high frequency of updates (latest data received on 07 June, 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.
28 765
Subscribers
+624 hours
+147 days
+8830 days
Posts Archive
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Ages of Operating Systems๐จ๐ปโ๐ป๐
๐ Windows 11 (3 years old)
๐ช Windows 10 (8 years old)
๐ macOS Yosemite (10 years old)
๐ Kali Linux (11 years old)
๐ป Windows 8 (12 years old)
๐ Manjaro (11 years old)
๐ป Windows 7 (14 years old)
๐ฅ๏ธ Windows Vista (17 years old)
๐ฟ Linux Mint (18 years old)
๐ง Ubuntu (20 years old)
โ๏ธ Fedora (20 years old)
๐ง OpenSUSE (20 years old)
โ๏ธ CentOS (20 years old)
๐ง Arch Linux (22 years old)
๐ macOS (22 years old)
๐ป Windows XP (23 years old)
๐ฅ๏ธ Windows 2000 (24 years old)
๐ฑ Windows 98 (25 years old)
๐ Windows 95 (28 years old)
๐ป Windows 3.1 (29 years old)
๐ฅ๏ธ OS/2 (32 years old)
๐ง Debian (31 years old)
๐ด Red Hat Linux (30 years old)
๐ฎ AmigaOS (34 years old)
๐ฅ๏ธ Xenix (40 years old)
๐ VMS (44 years old)
๐พ MS-DOS (42 years old)
๐พ CP/M (49 years old)
๐ฅ๏ธ Unix (54 years old)
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๐ณ ๐๐ฅ๐๐ ๐ ๐ถ๐ฐ๐ฟ๐ผ๐๐ผ๐ณ๐ ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐๐ผ๐๐ฟ๐๐ฒ๐๐
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Complete Roadmap to Become a Java Developer:
1. Core Java (fundamentals of Java programming language)
2. Maven
3. Spring Core, Spring MVC, and Spring AOP
4. Spring Boot and REST APls (Restful Web Services)
5. Spring Data - JPA, Hibernate (with H2, MySQL, MongoDB and Redis)
6. Testing (JUnit 5, JPA Test, MockMVC, etc.)
7. Spring Security
8. Microservices and Spring Cloud
9. Docker and Kubernetes
10. Deployment of Spring Boot Apps on Cloud (AWS)
11. Optional - Serverless, Batch processing etc
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Repost from Python for Data Analysts
๐๐ฅ๐๐ ๐ฅ๐ฒ๐๐ผ๐๐ฟ๐ฐ๐ฒ๐ ๐๐ผ ๐๐ฒ๐ฎ๐ฟ๐ป ๐๐ฎ๐๐ฎ ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐! ๐๐
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Programming, includes a more complex arrangement of processes of which coding is only one.
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28 765
How to convert image to pdf in Python
# Python3 program to convert image to pfd
# using img2pdf library
# importing necessary libraries
import img2pdf
from PIL import Image
import os
# storing image path
img_path = "Input.png"
# storing pdf path
pdf_path = "file_pdf.pdf"
# opening image
image = Image.open(img_path)
# converting into chunks using img2pdf
pdf_bytes = img2pdf.convert(image.filename)
# opening or creating pdf file
file = open(pdf_path, "wb")
# writing pdf files with chunks
file.write(pdf_bytes)
# closing image file
image.close()
# closing pdf file
file.close()
# output
print("Successfully made pdf file")
pip3 install pillow && pip3 install img2pdf