Apply suggestions from code review

Co-authored-by: Arturo Amor <[email protected]>

Author: pengtts

_posts/2025-30-06-probabl-skolar.md

@@ -29,19 +29,54 @@ postauthors:
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 https://skolar.probabl.ai/
 
-The scikit-learn project always puts efforts on education to build and nurture a strong vibrant open-source community. The goal is straightforward: give everyone, everywhere, the tools they need to easily grasp, engage with, and meaningfully contribute to data science using open-source software. This mission is shared and actively supported by Probabl, a company that helps maintain scikit-learn by employing many of its core contributors and investing in its long-term sustainability. With their support and a deep commitment from the community, we continue building bridges between research, software, and education.
+The scikit-learn project always puts efforts on education to build and nurture a
+strong vibrant open-source community. The goal is straightforward: give
+everyone, everywhere, the tools they need to easily grasp, engage with, and
+meaningfully contribute to data science using open-source software. This mission
+is shared and actively supported by [Probabl](https://probabl.ai/), a company
+that helps maintain scikit-learn by employing many of its core contributors and
+investing in its long-term sustainability. With their support and a deep
+commitment from the community, we continue building bridges between research,
+software, and education.
 
-When the [Inria scikit-learn MOOC](https://inria.github.io/scikit-learn-mooc/)(Massive Open Online Course) first went live, our community got a front-row seat to the amazing impact of practical, accessible and open learning. More than 40,000 people worldwide have jumped into these courses, clearly highlighting the demand for organized, hands-on resources that blend theory with real-world practice.
+When the [Inria scikit-learn MOOC](https://inria.github.io/scikit-learn-mooc/)
+(Massive Open Online Course) first went live, our community got a front-row seat
+to the amazing impact of practical, accessible and open learning. Created by
+several core developers and maintainers of scikit-learn—now working at
+Probabl—the MOOC has reached over 40,000 learners worldwide, clearly
+highlighting the demand for organized, hands-on resources that blend theory with
+real-world practice.
 
-Today, [Probabl](https://probabl.ai/) is excited to introduce Skolar, a new, fully open-source educational initiative, built directly from your feedback and all the lessons we've learned along the way. Developed by the maintainers and core developers of scikit-learn, Skolar is designed specifically for data science practitioners, offering hands-on, high-quality learning resources grounded in real-world applications and open-source values.
+Today, Probabl is excited to introduce Skolar, a new, fully open-source
+educational initiative, built directly from your feedback and all the lessons
+we've learned along the way. Developed and extended by those same core
+developers of scikit-learn, Skolar is designed specifically for data science
+practitioners, offering hands-on, high-quality learning resources grounded in
+real-world applications and open-source values.
 
-Skolar exists to boost our shared values: openness, teamwork, and practicality. It offers clear, interactive tutorials and structured courses carefully designed to match industry challenges and specialized use-cases. But even more importantly, it captures the true spirit of open source: encouraging collaboration, peer-to-peer learning, and guidance from experts.
+Skolar exists to boost our shared values: openness, teamwork, and practicality.
+It offers clear, interactive tutorials and structured courses carefully designed
+to match industry challenges and specialized use-cases. But even more
+importantly, it captures the true spirit of open source: encouraging
+collaboration, peer-to-peer learning, and guidance from experts.
 
-Right now, we’re just at the beginning. Today, you can dive into our Scikit-learn Associate Practitioner online course, adapted from the popular Inria MOOC but enhanced with new material on unsupervised learning, especially clustering.
+Right now, we’re just at the beginning. Today, you can dive into our
+Scikit-learn Associate Practitioner online course, adapted from the popular
+Inria MOOC but enhanced with new material on unsupervised learning, especially
+clustering.
 
-The next stages, professional and expert levels, will launch soon. We’ll also add more courses covering other open-source libraries such as skrub (for data wrangling), hazardous (for survival analysis), and fairlearn (for fairness). Additionally, our scikit-learn team is planning to create  industry-specific modules tackling real-world needs in fields like healthcare, finance, medicine, and beyond.
+The next stages, professional and expert levels, will launch soon. We’ll also
+add more courses covering other open-source libraries such as skrub (for data
+wrangling), hazardous (for survival analysis), and fairlearn (for fairness).
+Additionally, our scikit-learn team is planning to create  industry-specific
+modules tackling real-world needs in fields like healthcare, finance, medicine,
+and beyond.
 
-At its core, Skolar is about empowering people through education, driven entirely by our passion for openness and collaboration. We firmly believe that true open data science begins with community-built learning resources.
-We warmly welcome you, whether you're a contributor, learner, teacher, or just someone curious, to join us. Help shape Skolar’s future and support open-source education in data science.
+At its core, Skolar is about empowering people through education, driven
+entirely by our passion for openness and collaboration. We firmly believe that
+true open data science begins with community-built learning resources. We warmly
+welcome you, whether you're a contributor, learner, teacher, or just someone
+curious, to join us. Help shape Skolar’s future and support open-source
+education in data science.
 
 Create your account on Skolar today: https://skolar.probabl.ai