Science Sim Author

Generate self-contained interactive science simulations as a single index.html from a SimSpec YAML or JSON. Use when the user asks for physics, chemistry, bi...

wos-literature-toolkit

WOS 文献一站式工具：Web of Science 检索爬取 + PDF 批量下载，全部在同一个 Web 界面完成。 基于 Selenium 爬取 WOS 文献列表，导出 Excel 后自动调用多渠道 PDF 下载器（Sci-Hub/CORE/S2 OA/OpenAlex/Unpaywall/Publisher...

data-science-ipython-notebooks

Continually updated Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines.

Arxiv (Dify)

A powerful Dify plugin for searching and retrieving scientific papers from the ArXiv repository. This plugin enables seamless integration of academic research capabilities into your AI applications. ArXiv is a free distribution service and open-access archive for scholarly articles in physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical enginee

Data Scientist Roadmap

_Data science is an excellent career choice in today’s data-driven world where approx 328.77 million terabytes of data are generated daily. And this number is only increasing day by day, which in turn increases the demand for skilled data scientists who can utilize this data to drive business growth._

Python for Data Science by Scaler

This course is designed to empower beginners with the essential skills to excel in today's data-driven world. The comprehensive curriculum will give you a solid foundation in statistics, programming, data visualization, and machine learning.

Data Science CV Repro Reviewer

Review computer-vision experiment reproducibility evidence, dataset readiness, metric gates, and launch risk. Use when a user asks for a cautious CV experime...

AP Classroom Agent

完成 AP Classroom 所有学科的作业。支持 AP Lang、AP Statistics、AP Computer Science 等所有 AP 课程。自动检查、答题、提交 Reading Quiz、Writing Quiz、Progress Check 等作业。使用当前已登录的浏览器。

Bazi Qimen

Bazi (Four Pillars Astrology) and Qi Men Dun Jia chart calculation and interpretation skills. Provides data analysis and cognitive science based calculations...

a very short history of #datascience

_The story of how data scientists became sexy is mostly the story of the coupling of the mature discipline of statistics with a very young one--computer science. The term “Data Science” has emerged only recently to specifically designate a new profession that is expected to make sense of the vast stores of big data. But making sense of data has a long history and has been discussed by scientists, statisticians, librarians, computer scientists and others for years. The following timeline traces the evolution of the term “Data Science” and its use, attempts to define it, and related terms._

12 free Data Science projects to practice Python and Pandas

12 free Data Science projects to practice Python and Pandas - Tutorials

Neo4J (Dify)

**Author:** langgenius **Version:** 0.0.1 **Type:** tool The Neo4j plugin enables Dify AI agents to interact with Neo4j graph databases. It provides tools for exploring database schemas, executing read and write Cypher queries, and discovering Graph Data Science (GDS) procedures for advanced analytics.

The Analytics Engineering Roundup

. A newsletter about data science. [Archive](https://roundup.getdbt.com/archive).

Software Development Resources for Data Scientists

_Data scientists concentrate on making sense of data through exploratory analysis, statistics, and models. Software developers apply a separate set of knowledge with different tools. Although their focus may seem unrelated, data science teams can benefit from adopting software development best practices. Version control, automated testing, and other dev skills help create reproducible, production-ready code and tools._

Harvard Data Science

Thoughts on Statistical Computing and Visualization

KD Nuggets

Data Mining, Analytics, Big Data, Data, Science not a blog a portal

Revolution Analytics

Data Science Blog

How to Become a Data Scientist

_Data scientists are big data wranglers, gathering and analyzing large sets of structured and unstructured data. A data scientist’s role combines computer science, statistics, and mathematics. They analyze, process, and model data then interpret the results to create actionable plans for companies and other organizations._