🖥 GPT Computer Assistant

It is a Python framework designed to create intelligence in your products, such as Apple Intelligence.


from gpt_computer_assistant.remote import remote

remote.save_models("gpt-4o")
remote.save_openai_api_key("sk-**")

▪ Github


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🖥MicroRabbit

A lightweight, asynchronous Python framework for RabbitMQ that simplifies the creation of microservices and distributed systems.

Features include convenient message routing, plugin support, and intuitive client setup.

pip install git+https://@github.com/TonnoBelloSnello/microrabbit.git

• Github


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Python Coding Challenges For Beginner Developers – Code and Explanations



https://www.freecodecamp.org/news/python-coding-challenges-for-beginners/



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🖥 grafana-backup-tool - a full-fledged application for backing up and restoring Grafana settings using the Grafana API, written in Python.


pip install grafana-backup

▪ Github



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🖥 Langflow is a low-code application builder for RAG and multi-agent AI applications.

It is based on Python and does not depend on any model, API or database.


📌Github
📌Docs


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This Python tool looks super useful to crawl websites and convert data into LLM-ready markdown or structured data.

I find myself doing this a lot and most of the time it is a tedious effort. Great to see a service that does data extraction catered for LLM-based pipelines.

https://github.com/mendableai/firecrawl


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🖥 Email Archiver —is an efficient Python tool for archiving emails across multiple accounts.

It allows you to add, update, and delete accounts, search through archived emails, and view detailed information about each message.


https://github.com/bandundu/email-archiver


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🖥 Stay Undetected While Scraping the Web

How to Easily Send HTTP Requests That Simulate a Browser

Simulate browser data when scraping websites to remain undetected
- Mask TLS request fingerprints using the curl_cffi package
- Automatically extract metadata from HTML responses, including page title, description, author and more.
- Easily convert HTML responses to lxml and BeautifulSoup objects.


pip install stealth_requests

📌 Github


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🖥 reCAPTCHAv2

A Python tool that solves 100% of the problems and beats the success rates of previous tools, which ranged from 68% to 71%.

repo: https://github.com/aplesner/Breaking-reCAPTCHAv2

abs: https://arxiv.org/abs/2409.08831


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📸 Kazam2: Linux screen recording software

Kazam 2.0 is a versatile Python tool for screen recording, broadcasting, and optical character recognition (OCR).


pip install -U kazam

▪Github


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🖥 Create a table using Python


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#code

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Convert CSV to JSON using Python


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🖥 DualStyleGAN

A neural network in Python for creating portraits in different styles from photographs of people

git clone https://github.com/williamyang1991/DualStyleGAN.git
cd DualStyleGAN


▪Github: https://github.com/williamyang1991/DualStyleGAN

▪Paper: https://arxiv.org/abs/2203.13248v1

▪Video: https://www.youtube.com/watch?v=scZTu77jixI

▪Project: https://www.mmlab-ntu.com/project/dualstylegan/

▪Dataset: https://paperswithcode.com/dataset/ffhq



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Convert PDFs to Excel Files Using Python


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🖥 ده کتابخانه کوچک پایتون برای کار با داده ها

• PyGWalker: PyGWalker simplifies the workflow for analyzing and visualizing data in Jupyter Notebook by turning a pandas data frame (or polars data frame) into a Tableau-style user interface for visual exploration.

• SciencePlots: Creates professional matplotlib plots for presentations, research papers, and more.

• CleverCSV: Eliminates parsing errors when reading CSV files with Pandas.
•
• Fastparquet: Speeds up pandas I/O by 5x.

• Bottleneck: Speeds up NumPy methods by 25x. Especially if the array has NaN values.

• Multipledispatch: Provides methods for overloading functions in Python.

• Aquarel: Additional matplotlib plot styles.

• Modelstore: A library of machine learning models for better tracking of model performance.

• Pigeon: Helps you annotate data with mouse clicks in Jupyter notebook.

• Nbcommands: Helps you easily search code in Jupyter notebooks instead of doing it manually.

📌More details with code examples


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#library
#علم_داده
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🖥 تبدیل ارز با استفاده از پایتون



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"LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance."

https://github.com/ModelTC/lightllm


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🖥 تکنولوژی جدید در برنامه نویسی پایتون – LangChain

؛LangChain یک کتابخانه قدرتمند است که ایجاد برنامه های کاربردی بر اساس مدل های زبان را آسان می کند و به شما امکان می دهد اجزای مختلفی را ادغام کنید: از کار با API ها تا پردازش متن و ایجاد  گفتگوهای پویا تا LLM از طریق API.



💡 با LangChain می توانید به راحتی دستیار، چت ربات و موارد دیگر ایجاد کنید.

LangChain


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Python Tip

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