پایتون ( Machine Learning | Data Science )
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پروژه / code/ cheat sheet
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@alloadv

🔁ادمین :
@maryam3771
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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
VizTracer: A tool to trace and visualize Python code execution, logging function entries/exits, arguments, return values, and variables, with support for threading, multiprocessing, and async operations

https://github.com/gaogaotiantian/viztracer

#python

🆔 @Python4all_pro
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


#python #library

🆔 @Python4all_pro
🖥 Githubkit

When you call the GitHub API, you manually process HTTP requests, tokens, and JSON responses, which is time-consuming and error-prone.


githubkit, a Python library, provides a clean, typed interface for interacting with the GitHub API


pip install githubkit
# or, use poetry
poetry add githubkit
# or, use pdm
pdm add githubkit
# or, use uv
uv add githubkit



Example:
from githubkit import Response
from githubkit.versions.latest.models import FullRepository

resp: Response[FullRepository] = github.rest.repos.get("owner", "repo")
repo: FullRepository = resp.parsed_data
print(repo.full_name)


Github
Documentation


🆔 @Python4all_pro
Ollama-OCR: A Python package and Streamlit app using Ollama's vision language models to extract text from images in various formats, with batch processing and local privacy

https://github.com/imanoop7/Ollama-OCR


#python

🆔 @Python4all_pro
Python Cheat-Sheet - A Quick Reference Guide for Programmers



#cheat_sheet #Python


🆔 @Python4all_pro