Microsoft is offering Generative #AI for Beginners for FREE!
- 12 Weeks
- 21 Lessons
- Content is up to date
https://github.com/microsoft/generative-ai-for-beginners/tree/main?WT.mc_id=academic-105485-koreyst
🆔 @Python4all_pro
- 12 Weeks
- 21 Lessons
- Content is up to date
https://github.com/microsoft/generative-ai-for-beginners/tree/main?WT.mc_id=academic-105485-koreyst
🆔 @Python4all_pro
❤2👍2
"WebApps in pure Python. No JavaScript, HTML and CSS needed"
https://github.com/rio-labs/rio
#Python
🆔 @Python4all_pro
https://github.com/rio-labs/rio
#Python
🆔 @Python4all_pro
👍3
"Undetectable, Lightning-Fast, and Adaptive Web Scraping for Python"
https://buff.ly/4hZqfTF
#Python
🆔 @Python4all_pro
https://buff.ly/4hZqfTF
#Python
🆔 @Python4all_pro
👍2
Introduction to Git and GitHub
https://www.clcoding.com/2024/02/introduction-to-git-and-github.html
🆔 @Python4all_pro
https://www.clcoding.com/2024/02/introduction-to-git-and-github.html
🆔 @Python4all_pro
pytorch_sparse — extensions for PyTorch designed for efficient processing of sparse tensors, which is important for graph neural networks and other tasks with sparse data.
🌟 The library includes optimized operations on sparse tensors, such as matrix multiplication and indexing. It is widely used in workloads that require graph and network data processing, and supports CUDA for GPU acceleration.
🔐 License: MIT
🖥 Github
#Python
🆔 @Python4all_pro
🌟 The library includes optimized operations on sparse tensors, such as matrix multiplication and indexing. It is widely used in workloads that require graph and network data processing, and supports CUDA for GPU acceleration.
🔐 License: MIT
🖥 Github
#Python
🆔 @Python4all_pro
❤1👍1
یادگیری پروژه محور پایتون
این مخزن Github حاوی یک لیست از پروژه های عالی پایتون است که به یادگیری شما در هر سطحی که هستید کمک میکنه
👇
https://github.com/practical-tutorials/project-based-learning#python
#Python
🆔 @Python4all_pro
این مخزن Github حاوی یک لیست از پروژه های عالی پایتون است که به یادگیری شما در هر سطحی که هستید کمک میکنه
👇
https://github.com/practical-tutorials/project-based-learning#python
#Python
🆔 @Python4all_pro
GitHub
GitHub - practical-tutorials/project-based-learning: Curated list of project-based tutorials
Curated list of project-based tutorials. Contribute to practical-tutorials/project-based-learning development by creating an account on GitHub.
👍3❤1🔥1
Roadmap for becoming Python developer.
#python
https://github.com/ErdemOzgen/Python-developer-roadmap
#Python
🆔 @Python4all_pro
#python
https://github.com/ErdemOzgen/Python-developer-roadmap
#Python
🆔 @Python4all_pro
❤3🆒1💘1
Python is easy to learn
a Python Crash Course sheet for reference when programming
#Python
🆔 @Python4all_pro
a Python Crash Course sheet for reference when programming
#Python
🆔 @Python4all_pro
❤🔥5👍1😍1
PydanticAI
A new Python-based agent framework to build production-grade LLM-powered applications.
- Built by the team behind Pydantic
- Model-agnostic
- Type-sage
- Structured response validation with Pydantic
- Streamed responses (including validation) with Pydantic
- Tools for testing and eval-driven iterative development
- Logfire integration for debugging and monitoring
https://github.com/pydantic/pydantic-ai
#Python
🆔 @Python4all_pro
A new Python-based agent framework to build production-grade LLM-powered applications.
- Built by the team behind Pydantic
- Model-agnostic
- Type-sage
- Structured response validation with Pydantic
- Streamed responses (including validation) with Pydantic
- Tools for testing and eval-driven iterative development
- Logfire integration for debugging and monitoring
https://github.com/pydantic/pydantic-ai
#Python
🆔 @Python4all_pro
👍2
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🖥 Textual
Creating interactive user interfaces in the terminal with charts and widgets requires knowledge of low-level programming.
To create a complex CLI using a simple Python API, try Textual.
🖥 Github
#Python
🆔 @Python4all_pro
Creating interactive user interfaces in the terminal with charts and widgets requires knowledge of low-level programming.
To create a complex CLI using a simple Python API, try Textual.
🖥 Github
#Python
🆔 @Python4all_pro
👍2💘1