Scikit-Learn engineers in Costa Rica
Scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
Key stats as of December 31, 2023
- Total Scikit-Learn engineers in Costa Rica
- 0.0k
- Share of Latam's Scikit-Learn engineers located in Costa Rica
- 1%
- Growth of Scikit-Learn engineers in Costa Rica since the last year
- 33%
Scikit-Learn engineers in Costa Rica over time
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Scikit-Learn usage: number of engineers by country
| 🇧🇷 Brazil | 2.8k |
| 🇨🇴 Colombia | 0.6k |
| 🇲🇽 Mexico | 0.6k |
| 🇦🇷 Argentina | 0.5k |
| 🌎 Other | 0.3k |
| 🇨🇱 Chile | 0.3k |
| 🇵🇪 Peru | 0.2k |
| 🇪🇨 Ecuador | 0.1k |
| 🇻🇪 Venezuela | 0.1k |
| 🇨🇷 Costa Rica | < 100 |
| Source: Public repositories found on GitHub | |
Scikit-Learn density: engineers per 10k residents by country
| 🇺🇾 Uruguay | 0.2 |
| 🇧🇷 Brazil | 0.1 |
| 🇨🇴 Colombia | 0.1 |
| 🇦🇷 Argentina | 0.1 |
| 🇨🇱 Chile | 0.1 |
| 🇵🇪 Peru | 0.1 |
| 🇪🇨 Ecuador | 0.1 |
| 🇨🇷 Costa Rica | 0.1 |
| 🇵🇦 Panama | 0.1 |
| 🇯🇲 Jamaica | 0.1 |
| Source: Public repositories found on GitHub | |
Number of engineers by language in Costa Rica
| Language | Number of Engineers |
|---|---|
| HTML | 4.0k |
| JavaScript | 3.7k |
| CSS | 3.7k |
| Source: Public repositories found on GitHub | |
Number of engineers by framework in Costa Rica
| Language | Number of Engineers |
|---|---|
| NumPy | 0.2k |
| Pandas | 0.1k |
| Scikit-Learn | 0.0k |
| Source: Public repositories found on GitHub | |