Bootcamp Data Analysis Beginner Apr May2020
Python Bootcamp Data Analysis for Beginners
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Sourced Ce | 181 |  | 1 | 1 | 4 years ago | 40 | October 10, 2018 | 20 | gpl-3.0 | Go |
| source{d} Community Edition (CE) | ||||||||||
| Nbodykit | 93 |  | 6 | 2 years ago | 35 | September 08, 2020 | 79 | gpl-3.0 | Python | |
| Analysis kit for large-scale structure datasets, the massively parallel way | ||||||||||
| Bootcamp Data Analysis Beginner Apr May2020 | 18 | 3 years ago | mit | Jupyter Notebook | ||||||
| Python Bootcamp Data Analysis for Beginners | ||||||||||
| Gitstractor | 17 | 6 months ago | 2 | April 01, 2023 | 10 | mit | Jupyter Notebook | |||
| A library for visualizing the commits, authors, and files of any git repository | ||||||||||
| Karpov_courses | 16 | a year ago | 1 | mit | Jupyter Notebook | |||||
| 🐳 Проектная деятельность. Здесь хранятся лекции, практические задания и проекты с karpov_courses. Ссылка: https://karpov.courses/ | ||||||||||
| Data Scientist In Python | 15 | 2 years ago | Jupyter Notebook | |||||||
| This repository contains notes and projects of Data scientist track from dataquest course work. | ||||||||||
| Mdaur | 7 | 3 years ago | 3 | R | ||||||
| Scripts and data for book: Molecular Data Analysis using R | ||||||||||
| Data_project_template | 6 | 9 months ago | Jupyter Notebook | |||||||
| This project template is created for individuals who find it useful for their Data Analysis or ML projects. It serves as a beta version, offering a structured architecture and code to perform essential steps. The template is optimized for GitHub compatibility and encourages collaboration among colleagues. | ||||||||||
| Enterprise_credit_analysis | 6 | 5 years ago | apache-2.0 | Java | ||||||
| 企业信用分析平台（EEAP） | ||||||||||
| Writing Tracker | 6 | 5 years ago | Jupyter Notebook | |||||||
| Tracking and Data Analysis of Your Writings or Plaintext Notes with Git, Bash and Python | ||||||||||
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