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romanmir:main romanmir:MunGell-patch-1 romanmir:automated-checking
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romanmir:main romanmir:MunGell-patch-1 romanmir:automated-checking

8 Commits
24838f9be9 ... 2797423174

Author SHA1 Message Date
Pajkic
2797423174 Merge 894636f168 into 6e37dab7d1 2025-02-01 22:25:11 +00:00
Shmavon Gazanchyan
6e37dab7d1 Update README.md 2025-02-01 22:24:17 +00:00
Sammy Hori
925d75d233 Merge pull request #1561 from muhammadalmaskhan/main 
Added PyMC to Python category in Awesome for Beginners
 2025-02-01 22:24:07 +00:00
Sammy Hori
0a42695d3a Minor formatting 2025-02-01 22:22:00 +00:00
Almas
7649ca911b Merge pull request #2 from muhammadalmaskhan/muhammadalmaskhan-patch-2: Fix PyMC entry format and adhere to contribution guidelines 
Update data.json: Fixed PyMC entry format in data.json as per guidelines,
- Removed extra blank lines in data.json.
- Updated PyMC entry to follow the required JSON structure.
- Replaced incorrect field names:
  - "desc" → "description"
  - "url" → "link"
  - "tags" → "technologies"
  - "beginner-friendly-label" → "label"
- Ensured formatting consistency for proper parsing.

This fixes the requested changes and ensures PyMC is correctly listed as a beginner-friendly repository.
 2025-01-29 08:53:54 +05:00
Almas
421ee5d49a Update data.json: Fixed PyMC entry format in data.json as per guidelines 
- Removed unnecessary blank lines.
- Updated PyMC entry to match the required JSON structure.
- Changed field names:
  - "desc" → "description"
  - "url" → "link"
  - "tags" → "technologies"
  - "beginner-friendly-label" → "label"
- Ensured proper formatting and alignment.
 2025-01-29 08:50:24 +05:00
Almas
94f7327e81 Add PyMC to Awesome for Beginners: Merge pull request #1 from muhammadalmaskhan/muhammadalmaskhan-patch-1 
Updated data.json Added PyMC to Python category- Added PyMC, a Python library for Bayesian statistical modeling and probabilistic machine learning.
- The repository is actively maintained and includes 'good first issue' labels for beginners.
- It provides a supportive community and clear contribution guidelines, making it an excellent addition for new contributors.
 in Awesome for Beginners
 2025-01-28 09:52:36 +05:00
Almas
03738c5d1d Update data.json Added PyMC to Python category in Awesome for Beginners 
- Added PyMC, a Python library for Bayesian statistical modeling and probabilistic machine learning.
- The repository is actively maintained and includes 'good first issue' labels for beginners.
- It provides a supportive community and clear contribution guidelines, making it an excellent addition for new contributors.
 2025-01-28 09:49:28 +05:00
2 changed files with 10 additions and 0 deletions
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1
README.md
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@@ -294,6 +294,7 @@ If you would like to be guided through how to contribute to a repository on GitH
- [Oppia](https://github.com/oppia/oppia) _(label: good first issue)_ <br> Oppia is an open-source project whose aim is to empower learners across the globe by providing access to high-quality, engaging education. We envision a society in which access to high-quality education is a human right rather than a privilege. - [Oppia](https://github.com/oppia/oppia) _(label: good first issue)_ <br> Oppia is an open-source project whose aim is to empower learners across the globe by providing access to high-quality, engaging education. We envision a society in which access to high-quality education is a human right rather than a privilege.
- [opsdroid](https://github.com/opsdroid/opsdroid) _(label: good first issue)_ <br> An open source chat-ops bot framework. - [opsdroid](https://github.com/opsdroid/opsdroid) _(label: good first issue)_ <br> An open source chat-ops bot framework.
- [pandas](https://github.com/pandas-dev/pandas) _(label: good first issue)_ <br> Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more - [pandas](https://github.com/pandas-dev/pandas) _(label: good first issue)_ <br> Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
- [PyMC](https://github.com/pymc-devs/pymc) _(label: beginner friendly)_ <br> A Python library for Bayesian statistical modeling and probabilistic machine learning. Beginner-friendly with 'good first issue' labels.
- [Pytest](https://github.com/pytest-dev/pytest) _(label: status:-easy)_ <br> The pytest framework makes it easy to write small tests, yet scales to support complex functional testing. - [Pytest](https://github.com/pytest-dev/pytest) _(label: status:-easy)_ <br> The pytest framework makes it easy to write small tests, yet scales to support complex functional testing.
- [Python Babel](https://github.com/python-babel/babel) _(label: difficulty/low)_ <br> The Python Internationalization Library. - [Python Babel](https://github.com/python-babel/babel) _(label: difficulty/low)_ <br> The Python Internationalization Library.
- [pythonping](https://github.com/alessandromaggio/pythonping) _(label: good first issue)_ <br> PythonPing is a simple library to execute ICMP pings natively in Python without resorting to spawning a shell. - [pythonping](https://github.com/alessandromaggio/pythonping) _(label: good first issue)_ <br> PythonPing is a simple library to execute ICMP pings natively in Python without resorting to spawning a shell.

9
data.json
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@@ -1289,6 +1289,15 @@
], ],
"description": "The free and open-source wiki software package that powers Wikipedia." "description": "The free and open-source wiki software package that powers Wikipedia."
}, },
{
"name": "PyMC",
"link": "https://github.com/pymc-devs/pymc",
"label": "beginner friendly",
"technologies": [
"Python"
],
"description": "A Python library for Bayesian statistical modeling and probabilistic machine learning. Beginner-friendly with 'good first issue' labels."
},
{ {
"name": "CiviWiki", "name": "CiviWiki",
"link": "https://github.com/CiviWiki/OpenCiviWiki", "link": "https://github.com/CiviWiki/OpenCiviWiki",