Femtocode
Quick manipulation of structured data for data analysis.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Pythondatascience Collections | 615 | 3 years ago | 3 | |||||||
| 最全数据分析资料汇总（含python、爬虫、数据库、大数据、tableau、统计学等） | ||||||||||
| Books | 106 | 7 months ago | ||||||||
| Books related to AI/ML/DL/GENAI | ||||||||||
| Flatiron School Data Science Curriculum Resources | 75 | 3 years ago | Jupyter Notebook | |||||||
| Lesson material on data science and machine learning topics/concepts | ||||||||||
| Vinum | 44 | 3 years ago | 7 | March 19, 2021 | bsd-3-clause | C++ | ||||
| Vinum is a SQL processor for Python, designed for data analysis workflows and in-memory analytics. | ||||||||||
| Projeto_etl_rfb_ibge_anp | 38 | 4 months ago | mit | Python | ||||||
| PYTHON E POSTGRESQL - EXTRACT TRANSFORM LOAD - ETL - DADOS PÚBLICOS DA RECEITA FEDERAL DO BRASIL - RFB, INSTITUTO BRASILEIRO DE GEOGRAFIA E ESTATÍSTICA - IBGE E AGÊNCIA NACIONAL DO PETRÓLEO, GÁS NATURAL E BIOCOMBUSTÍVEIS - ANP - PYTHON E POSTGRESQL | ||||||||||
| Tafra | 24 | a year ago | 11 | November 22, 2022 | mit | Python | ||||
| a minimalist dataframe | ||||||||||
| Femtocode | 22 | 7 years ago | apache-2.0 | Python | ||||||
| Quick manipulation of structured data for data analysis. | ||||||||||
| Statistics For Data Science Using Python | 19 | 2 years ago | mit | Jupyter Notebook | ||||||
| Sharing the solved Exercises & Project of Statistics for Data Science using Python course on Coursera by Ankit Gupta | ||||||||||
| Datacamp Courses Megacollection | 18 | a year ago | Jupyter Notebook | |||||||
| 70+ DataCamp Course Notes, Projects, Codes, Exercises on Python, R and SQL with full DS & ML Certification, | ||||||||||
| Karpov_courses | 16 | 2 years ago | 1 | mit | Jupyter Notebook | |||||
| 🐳 Проектная деятельность. Здесь хранятся лекции, практические задания и проекты с karpov_courses. Ссылка: https://karpov.courses/ | ||||||||||
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