Available now! Telegram Research 2025 β the year's key insights 
Machine Learning with Python
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Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho
Show moreπ Analytical overview of Telegram channel Machine Learning with Python
Channel Machine Learning with Python (@codeprogrammer) in the English language segment is an active participant. Currently, the community unites 67 809 subscribers, ranking 2 416 in the Education category and 5 038 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 67 809 subscribers.
According to the latest data from 09 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 70 over the last 30 days and by 10 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 2.94%. Within the first 24 hours after publication, content typically collects 2.44% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 997 views. Within the first day, a publication typically gains 1 652 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 7.
- Thematic interests: Content is focused on key topics such as insidead, learning, degree, evaluation, algorithm.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βLearn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
Admin: @HusseinSheikho || @Hussein_Sheikhoβ
Thanks to the high frequency of updates (latest data received on 10 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 Education category.
67 809
Subscribers
+1024 hours
+127 days
+7030 days
Posts Archive
Repost from Github Top Repositories
π₯ Trending Repository: awesome-deeplearning-resources
π Description: Deep Learning and deep reinforcement learning research papers and some codes
π Repository URL: https://github.com/endymecy/awesome-deeplearning-resources
π Readme: https://github.com/endymecy/awesome-deeplearning-resources#readme
π Statistics:
π Stars: 2.9K stars
π Watchers: 221
π΄ Forks: 666 forks
π» Programming Languages: Not available
π·οΈ Related Topics:
#nlp #video #reinforcement_learning #deep_learning #neural_network #code #paper #corpus #modelzoo================================== π§ By: https://t.me/DataScienceN
Repost from Github Top Repositories
π₯ Trending Repository: awesome-transformer-nlp
π Description: A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.
π Repository URL: https://github.com/cedrickchee/awesome-transformer-nlp
π Readme: https://github.com/cedrickchee/awesome-transformer-nlp#readme
π Statistics:
π Stars: 1.1K stars
π Watchers: 41
π΄ Forks: 131 forks
π» Programming Languages: Not available
π·οΈ Related Topics:
#nlp #natural_language_processing #awesome #transformer #neural_networks #awesome_list #llama #transfer_learning #language_model #attention_mechanism #bert #gpt_2 #xlnet #pre_trained_language_models #gpt_3 #gpt_4 #chatgpt================================== π§ By: https://t.me/DataScienceM
Repost from Github Top Repositories
π₯ Trending Repository: SemanticSegmentation_DL
π Description: Resources of semantic segmantation based on Deep Learning model
π Repository URL: https://github.com/tangzhenyu/SemanticSegmentation_DL
π Readme: https://github.com/tangzhenyu/SemanticSegmentation_DL#readme
π Statistics:
π Stars: 1.1K stars
π Watchers: 77
π΄ Forks: 315 forks
π» Programming Languages: Jupyter Notebook - Python - Shell - sed
π·οΈ Related Topics: Not available
==================================
π§ By: https://t.me/DataScienceM
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python-docx: Create and Modify Word Documents #python
python-docx is a Python library for reading, creating, and updating Microsoft Word 2007+ (.docx) files.
Installation
pip install python-docxfrom docx import Document
document = Document()
document.add_paragraph("It was a dark and stormy night.")
<docx.text.paragraph.Paragraph object at 0x10f19e760>
document.save("dark-and-stormy.docx")
document = Document("dark-and-stormy.docx")
document.paragraphs[0].text
'It was a dark and stormy night.'