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Python Complete Course For Python Beginners.Learn Python From Beginner To Advanced Level...
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π Language: English (US)
π₯ Students: 345,060 students
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π By: https://t.me/Udemy26
Python Complete Course For Python Beginners.Learn Python From Beginner To Advanced Level...
π· Category: it-and-software
π Language: English (US)
π₯ Students: 345,060 students
βοΈ Rating: 4.3/5.0 (5,218 reviews)
πββοΈ Enrollments Left: 94
β³ Expires In: 0D:30H:30M
π° Price:
π Coupon: 0B6F0C44C36F70F20C0A
β οΈ Note: You may need to watch a short ad to access the course. This helps keep the service free for everyone. π
π By: https://t.me/Udemy26
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π Master Data Science & Programming!
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Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
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π Machine Learning
Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.
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This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA β perfect for learning, coding, and mastering key programming skills.
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Advancing research in Machine Learning β practical insights, tools, and techniques for researchers.
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An active community group for discussing data challenges and networking with peers.
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Explore the world of Data Science through Jupyter Notebooksβinsights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
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Admin: @HusseinSheikho
Unlock your potential with this curated list of Telegram channels. Whether you need books, datasets, interview prep, or project ideas, we have the perfect resource for you. Join the community today!
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
https://t.me/CodeProgrammer
Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.
https://t.me/DataScienceM
This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA β perfect for learning, coding, and mastering key programming skills.
https://t.me/DataScience4
Python Data Science jobs, interview tips, and career insights for aspiring professionals.
https://t.me/DataScienceQ
Your go-to hub for Kaggle datasets β explore, analyze, and leverage data for Machine Learning and Data Science projects.
https://t.me/datasets1
The first channel in Telegram that offers free Udemy coupons
https://t.me/DataScienceC
Advancing research in Machine Learning β practical insights, tools, and techniques for researchers.
https://t.me/DataScienceT
An active community group for discussing data challenges and networking with peers.
https://t.me/DataScience9
The largest Arabic-speaking group for Python developers to share knowledge and help.
https://t.me/PythonArab
Explore the world of Data Science through Jupyter Notebooksβinsights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
https://t.me/DataScienceN
Free online courses covering data science, machine learning, analytics, programming, and essential skills for learners.
https://t.me/DataScienceV
Dive into the world of Data Analytics β uncover insights, explore trends, and master data-driven decision making.
https://t.me/DataAnalyticsX
Master Python with step-by-step courses β from basics to advanced projects and practical applications.
https://t.me/Python53
Professional Academic Writing & Simulation Services
https://t.me/DataScienceY
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β¨ compileall | Python Standard Library β¨
π Provides utilities for byte-compiling Python source files into bytecode across a directory tree, a single file, or all locations on sys.path.
π·οΈ #Python
π Provides utilities for byte-compiling Python source files into bytecode across a directory tree, a single file, or all locations on sys.path.
π·οΈ #Python
β¨ copyreg | Python Standard Library β¨
π Provides a registry for defining custom pickling and copying functions for specific object types.
π·οΈ #Python
π Provides a registry for defining custom pickling and copying functions for specific object types.
π·οΈ #Python
β¨ Quiz: Using Loguru to Simplify Python Logging β¨
π Test your knowledge of Loguru for Python logging, from zero-config setup and log levels to custom formats and adding context.
π·οΈ #intermediate #tools
π Test your knowledge of Loguru for Python logging, from zero-config setup and log levels to custom formats and adding context.
π·οΈ #intermediate #tools
π Sber has released two open-source MoE models: GigaChat-3.1 Ultra and Lightning
Both code and weights are available under the MIT license on HuggingFace.
π Key details:
β’ Trained from scratch (not a finetune) on proprietary data and infrastructure
β’ Mixture-of-Experts (MoE) architecture
Models:
π§ GigaChat-3.1 Ultra
β’ 702B MoE model for high-performance environments
β’ Outperforms DeepSeek-V3-0324 and Qwen3-235B on math and reasoning benchmarks
β’ Supports FP8 training and MTP
β‘οΈ GigaChat-3.1 Lightning
β’ 10B model (1.8B active parameters)
β’ Outperforms Qwen3-4B and Gemma-3-4B on Sber benchmarks
β’ Efficient local inference
β’ Up to 256k context
Engineering highlights:
β’ Custom metric to detect and reduce generation loops
β’ DPO training moved to native FP8
β’ Improvements in post-training pipeline
β’ Identified and fixed a critical issue affecting evaluation quality
π Trained on 14 languages (optimized for English and Russian)
Use cases:
β’ chatbots
β’ AI assistants
β’ copilots
β’ internal ML systems
Sber provides a solid open foundation for developers to build production-ready AI systems with lower infrastructure costs.
Both code and weights are available under the MIT license on HuggingFace.
π Key details:
β’ Trained from scratch (not a finetune) on proprietary data and infrastructure
β’ Mixture-of-Experts (MoE) architecture
Models:
π§ GigaChat-3.1 Ultra
β’ 702B MoE model for high-performance environments
β’ Outperforms DeepSeek-V3-0324 and Qwen3-235B on math and reasoning benchmarks
β’ Supports FP8 training and MTP
β‘οΈ GigaChat-3.1 Lightning
β’ 10B model (1.8B active parameters)
β’ Outperforms Qwen3-4B and Gemma-3-4B on Sber benchmarks
β’ Efficient local inference
β’ Up to 256k context
Engineering highlights:
β’ Custom metric to detect and reduce generation loops
β’ DPO training moved to native FP8
β’ Improvements in post-training pipeline
β’ Identified and fixed a critical issue affecting evaluation quality
π Trained on 14 languages (optimized for English and Russian)
Use cases:
β’ chatbots
β’ AI assistants
β’ copilots
β’ internal ML systems
Sber provides a solid open foundation for developers to build production-ready AI systems with lower infrastructure costs.
β€1
β¨ Quiz: Implementing the Factory Method Pattern in Python β¨
π Learn how the Factory Method pattern separates creation from use, promotes decoupling, and organizes Python products efficiently.
π·οΈ #intermediate #best-practices
π Learn how the Factory Method pattern separates creation from use, promotes decoupling, and organizes Python products efficiently.
π·οΈ #intermediate #best-practices
β¨ ctypes | Python Standard Library β¨
π Allows for calling functions in shared C libraries and DLLs using C-compatible data types.
π·οΈ #Python
π Allows for calling functions in shared C libraries and DLLs using C-compatible data types.
π·οΈ #Python
This channels is for Programmers, Coders, Software Engineers.
0οΈβ£ Python
1οΈβ£ Data Science
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6οΈβ£ Statistics
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β¨ curses | Python Standard Library β¨
π Provides tools for building text-based user interfaces in Unix terminals, providing control over cursor position, colors, windows, and keyboard input.
π·οΈ #Python
π Provides tools for building text-based user interfaces in Unix terminals, providing control over cursor position, colors, windows, and keyboard input.
π·οΈ #Python
β¨ Quiz: Exploring Protocols in Python β¨
π Test your knowledge of Python protocols, structural subtyping, and static type checking, including generic and subprotocol usage.
π·οΈ #intermediate #python
π Test your knowledge of Python protocols, structural subtyping, and static type checking, including generic and subprotocol usage.
π·οΈ #intermediate #python
β€1
Forwarded from Udemy Free Coupons
AI Engineer 2026 Complete Course, GEN AI, Deep, Machine, LLM
Master Machine Learning, Deep Learning, LLMs & AI Systems with hands-on, real-world projects...
π· Category: N/A
π Language: English (US)
π₯ Students: 6,344 students
βοΈ Rating: 4.0/5.0 (38 reviews)
πββοΈ Enrollments Left: N/A
β³ Expires In: 0D:0H:0M
π° Price:$23.03 => FREE
π Coupon: 25BBPMXNVD35
β οΈ Note: You may need to watch a short ad to access the course. This helps keep the service free for everyone. π
π By: https://t.me/Udemy26
Master Machine Learning, Deep Learning, LLMs & AI Systems with hands-on, real-world projects...
π· Category: N/A
π Language: English (US)
π₯ Students: 6,344 students
βοΈ Rating: 4.0/5.0 (38 reviews)
πββοΈ Enrollments Left: N/A
β³ Expires In: 0D:0H:0M
π° Price:
π Coupon: 25BBPMXNVD35
β οΈ Note: You may need to watch a short ad to access the course. This helps keep the service free for everyone. π
π By: https://t.me/Udemy26
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β¨ dbm | Python Standard Library β¨
π Provides a generic dictionary-like interface to DBM-style key-value databases backed by a file on disk.
π·οΈ #Python
π Provides a generic dictionary-like interface to DBM-style key-value databases backed by a file on disk.
π·οΈ #Python
β¨ Quiz: Gemini CLI vs Claude Code: Which to Choose for Python Tasks β¨
π Compare Gemini CLI and Claude Code across user experience, performance, code quality, and cost to find the right AI coding tool for you.
π·οΈ #intermediate #ai #tools
π Compare Gemini CLI and Claude Code across user experience, performance, code quality, and cost to find the right AI coding tool for you.
π·οΈ #intermediate #ai #tools