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


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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



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python-sortedcontainers - A library of Python collections that support automatic sorting: SortedList, SortedDict and SortedSet!

🌟 These data structures are implemented in pure Python but provide performance comparable to C libraries. The library stands out for its ease of use, no compilation required, and efficient operations such as insertion, deletion, and lookup that run faster than linear time.

🔐 License: Apache-2.0

🖥 Github


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🖥 Magic Wormhole
Magic Wormhole is a library and command line utility for securely transferring files, folders or text between computers!

🌟 The transfer process is organized using unique “wormhole codes” that are easy to pronounce and entered manually or through auto-completion. These codes are one-time use, which ensures a high level of security.

🔐 License: MIT


🖥 Github


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Python library for data loading

🔗 https://github.com/dlt-hub/dlt


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دوره رایگان تحلیل داده ها با پایتون از IBM

در این دوره کار با کتابخانه های NumPy و Pandas را یاد بگیرید

https://cognitiveclass.ai/courses/data-analysis-python



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دوره رایگان مصورسازی داده ها با پایتون از IBM

در این دوره کار با کتابخانه های Matplotlib و Seaborn را یاد بگیرید
https://cognitiveclass.ai/courses/data-visualization-python



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Python library that adds interactive dashboards to pandas dataframes for exploring data

https://github.com/Kanaries/pygwalker



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🖥 PDF CRAFT-a python library for converting PDF (primarily scanned books) in Markdown and EPUB using local AI models and LLM to structure the contents
Github

Basic possibilities

- extracting text and layout
Uses the combination of Doclayout-Yolo and its own algorithms for detecting and filtering headlines, columns, footnotes and page numbers

- Local OCR
Recognizes the text on the page via Onnxocr, supports acceleration on GPU (CUDA)

- Determining the order of reading
With the help of LayoutReader, it builds a flow of text in the order in which it is perceived by a person

- Converting in Markdown
Generates .MD with relative links to images (illustrations, tables, formulas) in the Assets folder

Installation and requirements
Python ≥ 3.10 (recommended 3.10.16).

Pip Install PDF-Craft and PIP Install Onnxruntime == 1.21.0 (or Onnxruntime-GPU == 1.21.0 for CUDA).

For an EPUB conveier, you need access to the LLM service (for example, Deepseek).

🟡 Github


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Quick Python cheatsheet



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