The article discusses integrating Python, R, and Julia in a single Jupyter Notebook to enhance data analysis efficiency. It outlines prerequisites for setup, including installing necessary kernels and libraries, and provides examples of how to write code in each language within the notebook. The integration allows for combining machine learning, fast data preparation, and visualization seamlessly.

Recent advances in AI, particularly generative large language models, enhance scientific research by improving efficiency and reducing costs. Key applications include AI-augmented annotations, AI-assisted programming, content-based file management, grammar correction, and brainstorming ideas. Tools like Label Studio, GitHub Copilot, Riffo, and BotAI are recommended for various tasks in the research pipeline.

LaTeX-OCR is a well-known, open-source, and free OCR recognition tool that is widely used as an alternative to Mathpix. However, due to compatibility issues with cross-platform modules such as pytorch and qt, installing this tool on an arm64 host requires certain operations.

Polars is an alternative to Pandas that I've heard about but never actually used. According to itself, it is a "blazingly fast DataFrames" - can you believe that? In this article, I tested it in my own common environment, and it's really fast.

A Telegram bot designed for Notion CN Community.Powered by Notion Official API. This tool has saved me a lot time.

A web crawler for chinadrugtrials.org.cn, written in Python 3.6+.

Something you can control, playing video games or coding, is what you need in a mysterious, unstable but boring life.

This tool is used to enhance writing experience in Notion.

In this project, I was trying to be a normal user in a headless browser, intended to get translated texts from DeepL’s models.

Create a Notion collection, synced with Zotero.

Three great materials I found on TDS(TowardDataScience.com) and the City of Statistics today.

This issue is related to Sklearn, one solution is to state a eligible Solver .

For .reindex , from 0.21.0, .loc or [] are not allowed to index with a list with one or more missing labels in Pandas。