Play YouTube Videos Using Python



#Python #code
🆔 @Python4all_pro

Python is easy to learn

a Python Crash Course sheet for reference when programming


#Python
🆔 @Python4all_pro

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

Important Functions in Python



#Python
🆔 @Python4all_pro

Code to Send Laptop Notifications using Python


#Python #code

🆔 @Python4all_pro

Watermarking in Python


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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

inflect — Python library for working with word inflections - transformations of word forms depending on their grammatical role in a sentence!

🌟 The library allows you to convert numbers to text strings (for example, 42 -> "forty-two"), and also provides functions for working with forms of nouns and verbs.

🔐 License: MIT

🖥 Github


#Python #library
🆔 @Python4all_pro

👩‍💻 django-cachalot — is a tool for improving the performance of Django applications by automatically caching queries executed through the Django ORM!

🌟 It automatically manages cache invalidation, allowing developers to minimize caching setup efforts and reduce database load.

🌟 Python 3.7–3.11 and Django versions 3.2, 4.1, 4.2, 5.0, 5.1 are supported. The library works with PostgreSQL, SQLite and MySQL, providing options for integration with Memcached or Redis as caching servers. Key benefits include easy setup, Django Debug Toolbar support, and the ability to be used in multi-server configurations.

🔐 License: BSD-3-Clause

🖥 Github


#Python
🆔 @Python4all_pro

⌨️ Roadmap to Become Data Scientist




#Python #Data_Science
🆔 @Python4all_pro

Download it here:

https://greenteapress.com/thinkpython2/thinkpython2.pdf




#Python #pdf
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⌨️ Learn About Python List Methods



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🔅 Python Object-Oriented Programming


Learn how to use the object-oriented features of Python, including magic methods and data classes, to write more efficient and effective code.



#Python #programming
🆔 @Python4all_pro

⌨️ Data Storytelling: A visual guide to chart selection


#Python #Data_Science
🆔 @Python4all_pro

🖥 diagram-as-code - Python library for programmatically creating diagrams such as architectural diagrams, process diagrams and data flows!

🌟 This tool allows you to create and update diagrams using code, which is especially useful for automating documentation and visualization, especially in the context of a cloud infrastructure such as AWS.


🖥 Github



#Python #library

🆔 @Python4all_pro

Create Audio Book using Python


#Python #code

🆔 @Python4all_pro

دوست داری تست پایتون بزنی و ببینی در چه سطحی هستی و امتیازت چقد میشه؟
از این سایت استفاده کن👇

Python Sets Quiz : https://www.clcoding.com/2024/12/python-sets-quiz.html


#Python #code

🆔 @Python4all_pro

Helium is a Python library for automating Chrome and Firefox browsers, built on top of Selenium, allowing simpler and more readable automation scripts

https://github.com/mherrmann/helium



#Python #library

🆔 @Python4all_pro

⌨️ Top Python Frameworks and Libraries




#Python #library

🆔 @Python4all_pro

مایکروسافت اخیرا یک کتابخانه پایتون به نام MarkItDown منتشر کرده که ابزاری کاربردی برای تبدیل فایل‌های مختلف (فایل‌های پاورپوینت، پی‌دی‌اف، ورد، اکسل و...) به Markdown است.
‌
این موضوع برای تجزیه و تحلیل متون داخل فایل‌ها بسیار کاربردی‌ست.
‌
این کتابخانه در حال حاضر از pdf، پاورپوینت (pptx.)، ورد (.docx)، اکسل (xlsx.)، تصاویر (متادیتای EXIF ​​و OCR)، فایل صوتی (متادیتای EXIF ​​و رونویسی گفتار)، HTML (به خصوص در مورد ویکی‌پدیا و...) و برخی از سایر فرمت‌های مبتنی بر متن مثل csv, json, xml پشتیبانی می‌کند.
‌
شروع استفاده از این ابزار بسیار سریع و راحت است:
‌

from markitdown import MarkItDown

markitdown = MarkItDown()
result = markitdown.convert("test.xlsx")
print(result.text_content)

‌

🔗 مشاهده در GitHub
‌
برای درک بهتر کاربرد آن می‌توانید از دمویی که یک برنامه‌نویس خارجی در آدرس زیر قرار داده استفاده کنید:
https://msftmd.replit.app
‌

#Python #library

🆔 @Python4all_pro

Python Numpy Quiz :
https://www.clcoding.com/2024/12/python-numpy-quiz.html


#Python #NumPy

🆔 @Python4all_pro