https://github.com/angrymaciek/efcomp
Advanced methods for efficient scientific computing in Python/R/C++
Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
○codemeta.json file
-
○.zenodo.json file
-
✓DOI references
Found 3 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Committers with academic emails
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (14.0%) to scientific vocabulary
Keywords
Repository
Advanced methods for efficient scientific computing in Python/R/C++
Basic Info
- Host: GitHub
- Owner: AngryMaciek
- License: gpl-3.0
- Language: Jupyter Notebook
- Default Branch: master
- Homepage: https://github.com/AngryMaciek/efcomp
- Size: 298 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 1
- Releases: 0
Topics
Metadata Files
README.md
Advanced methods for efficient scientific computing in Python/R/C++
The following software repository presents a specialised, postgraduate-level monographic course dedicated to efficient scientific computing. Its main focus are the interfacing mechanisms between langauges widely used and popular amongst data scientists: Python and R to a low-level but much faster C++.
Scope & target audience 🙋♀️
(general info: HOW, not WHAT)
Participants of the course should be well-prepared with:
- reasonable experience with a text shell environment
- very good understanding of C and C++
- basic programming skills in Python and R
- background in: linear algebra, real analysis, statistics and machine learning
In addition to the aforementioned material prior experience in computational research will be highly beneficial.
For the reasons above the following course is not suitable for junior developers.
Structure 🏗️
The course is divided into 5 sessions with session zero dedicated to setting up necessary dependencies. 1. A 2. B 3. C 4. D 5. E
(how-to go through it, structure description)
Contributing 💖
All contrubitions are very much welcome in the forms of
GitHub Issues and Pull Requests 😊
Working on your first Pull Request? You can learn how from this free series:
How to Contribute to an Open Source Project on GitHub
© 2023 Maciek Bak
Owner
- Name: Maciek Bąk
- Login: AngryMaciek
- Kind: user
- Location: London, UK
- Company: City, University of London
- Website: https://angrymaciek.github.io
- Twitter: angrymaciek
- Repositories: 42
- Profile: https://github.com/AngryMaciek
PhD in Computational Biology
GitHub Events
Total
Last Year
Committers
Last synced: about 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Maciek Bąk | w****k@g****m | 17 |
Issues and Pull Requests
Last synced: about 2 years ago
All Time
- Total issues: 0
- Total pull requests: 13
- Average time to close issues: N/A
- Average time to close pull requests: 3 minutes
- Total issue authors: 0
- Total pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 12
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 13
- Average time to close issues: N/A
- Average time to close pull requests: 3 minutes
- Issue authors: 0
- Pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 12
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- AngryMaciek (1)
Pull Request Authors
- AngryMaciek (11)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- actions/checkout v2 composite
- ubuntu 22.04 build
- kentaro-m/auto-assign-action v1.2.5 composite
- morrisoncole/pr-lint-action v1.7.0 composite