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Python Pundits

Python Pundits

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"A Perfect Blend of Free Python Tutorials, Practicals and Projects", that will surely help you in becoming a maestro of the language. P.S. - The Tutorials are arranged with relevant topics next to each other so you can follow them in order.

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πŸ“ˆ Analytical overview of Telegram channel Python Pundits

Channel Python Pundits (@pythonpundit) is an active participant. Currently, the community unites 10 138 subscribers, ranking 10 401 in the Technologies & Applications category and 13 209 in the Malaysia region.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 10 138 subscribers.

According to the latest data from 08 September, 2024, the channel demonstrates stable activity. Although there has been a change in the number of participants by -43 over the last 30 days and by 0 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 3.18%. 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 322 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 0.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œ"A Perfect Blend of Free Python Tutorials, Practicals and Projects", that will surely help you in becoming a maestro of the language. P.S. - The Tutorials are arranged with relevant topics next to each other so you can follow them in order.”

Thanks to the high frequency of updates (latest data received on 18 March, 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.

10 138
Subscribers
No data24 hours
No data7 days
-4330 days
Posts Archive
TUTORIAL - 51 Get yourself comfortable with Python 3.6 πŸ’―βœ…πŸ†• https://data-flair.training/blogs/whats-new-in-python-3-6/

TUTORIAL - 50 Some more of Important Python Terminologies you must know (Part 2) πŸ’―πŸŽ―βœ… https://data-flair.training/blogs/python-glossary-of-terms/

TUTORIAL - 49 Important Python Terminologies you must know Part 1 πŸ’―πŸŽ―βœ… https://data-flair.training/blogs/python-glossary/

TUTORIAL - 48 Recursion in Python 'Coz programming is so uncertain, you definitely need Recursion βœ…πŸ’― https://data-flair.training/blogs/recursion-in-python/

TUTORIAL - 47 Learn to implement the various Python Function Arguments πŸŽ―βœ… https://data-flair.training/blogs/python-function-arguments/

TUTORIAL - 46 Know excatly what exec() function in Python is βœ…πŸ’―πŸŽ― https://data-flair.training/blogs/python-exec-function/

TUTORIAL - 45 Understand the value of eval() function in Python πŸ’―βœ… https://data-flair.training/blogs/python-eval-function/

TUTORIAL - 44 Dive deep into Python's zip() Function πŸ’―β‡οΈ https://data-flair.training/blogs/python-zip-function/

TUTORIAL - 43 Explore the range() function in Python πŸŽ―πŸ’―βœ… https://data-flair.training/blogs/python-range-function/

TUTORIAL - 42 Functions that Python facilitates you with πŸ”₯πŸ’―πŸ”βœ¨ https://data-flair.training/blogs/python-built-in-functions/

TUTORIAL - 41 Getting closer to Python with its Functions βœ¨πŸ™ŒπŸ»πŸ€ https://data-flair.training/blogs/python-function/

TUTORIAL - 40 A concept that will make your Python Programming journey easy πŸ’―βœ… https://data-flair.training/blogs/python-loops/

TUTORIAL - 39 Python Switch A concept that is of utmost importance https://data-flair.training/blogs/python-switch-case/

TUTORIAL - 38 Get Familiar With the Decision Making Statements in Python βœ…πŸ’―β‡οΈ https://data-flair.training/blogs/python-decision-making-expressions/

TUTORIAL - 37 Get familiar with two of the Most Important Concepts in Python πŸ’―βœ…πŸ‘πŸ» https://data-flair.training/blogs/python-sequences-and-collections/

TUTORIAL - 36 Python Tuples vs Lists πŸ€Όβ€β™‚οΈ Know what separates two most used Data Structures in Python πŸ“βœ… https://data-flair.training/blogs/python-tuples-vs-lists/

TUTORIAL - 35 Every minute detail about Python Set and Booleans πŸ”πŸ’―βœ… https://data-flair.training/blogs/python-set-and-booleans-with-examples/

TUTORIAL - 34 Be a visionary Python Programmer with its Dictionary πŸ“–πŸ“•πŸ“Œ https://data-flair.training/blogs/python-dictionary/

TUTORIAL - 33 Everything you need to know about Python Tuples πŸ’―β‡οΈ https://data-flair.training/blogs/python-tuples-syntax-examples/

TUTORIAL - 32 Python Lists The gist of its basics πŸ’―βœ… https://data-flair.training/blogs/python-lists-examples/