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
🆔 @Python4all_pro

⌨️ Learn About Python List Methods



#Python
🆔 @Python4all_pro

🔅 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

Drawings in the console using Python!



#Python #pattern

🆔 @Python4all_pro

🖥 markitdown: New open source Python package

This package allows you to easily convert various files to Markdown (for example, for indexing, text analysis, etc.).

The tool's API is very simple.


🖥 Github


#Python

🆔 @Python4all_pro

👩‍💻 ClearerVoice-Studio — is an open source AI speech processing tool!

🌟 It includes the tasks of improving speech quality, separating audio sources, and extracting the target speaker. The project offers modern pre-trained models such as FRCRN and MossFormer, as well as scripts for training and retraining.

🔐 License: Apache-2.0


🖥 Github


#Python

🆔 @Python4all_pro

Python library that adds Generative AI capabilities to Pandas!

Introducing PandasAI: Analyze complex data frames and plot visualizations just by using natural language:

100% Open Source

With Pandas AI you can:

→ Clean the Data
→ Impute missing values
→ Generate New features
→ Analyze and manipulate the data
you can also ask it to plot the charts

Github Repo: https://github.com/Sinaptik-AI/pandas-ai


#Python #library

🆔 @Python4all_pro

A Python library to query Apple's Find My network, supporting AirTags, iPhones,and other devices with features like location reporting, 2FA, and Bluetooth scanning

https://github.com/malmeloo/FindMy.py



#Python #library

🆔 @Python4all_pro

🖥 Python interpreter written in Python in 500 lines of code

Byterun is a Python interpreter. While working on Byterun, the author discovered that the fundamental structure of the Python interpreter easily fits within the 500-line size limit. This article examines the structure of the interpreter and provides context for further study.

 The goal is not to explain everything there is to know about interpreters - as in many other interesting areas of programming and computer science - you can spend years developing a deep understanding of this topic.

Byterun was written by Ned Batchelder, drawing on the work of Paul Schwartz. Its structure is similar to Python's main implementation, CPython, so understanding Byterun will help you understand interpreters in general and the CPython interpreter in particular.

Article: https://aosabook.org/en/500L/a-python-interpreter-written-in-python.html

Github: https://github.com/nedbat/byterun

🆔 @Python4all_pro

معرفی کتاب ترفندها و ابزارهای پایتون برای دانشمندان داده

با انجام پروژه های این کتاب می تونید پایتون رو بهتر یاد بگیرید و با دنیای علم داده بهتر آشنا شوید :

+۷۰۰ نکته برای کدنویسی بهتر در پایتون
+۱۵۰ مقاله علم داده
راهنمای کار با کتابخانه های محبوب دانشمندان داده

👉https://github.com/khuyentran1401/Efficient_Python_tricks_and_tools_for_data_scientists

📌https://codecut.ai/

#پایتون #علم_داده

🆔 @Python4all_pro