Alex presents the work and impact of Gaël Varoquaux, a leading AI researcher at Inria, co-founder of scikit-learn, and expert in machine learning, data science, and public health.
81 articles from this blog
A report on the 2014 scikit-learn developer sprint in Paris, covering participants, venues, achievements, and sponsors.
Highlights of the scikit-learn 0.15 release, including performance improvements, new features, and deprecations.
Announcing the four students accepted for Google Summer of Code 2024 to work on scikit-learn projects, including neural networks and performance improvements.
An editorial advocating for the publication and recognition of open-source scientific software as a core part of modern research and the scientific method.
Overview of scikit-learn 0.14 release, highlighting new features like AdaBoost and performance improvements in benchmarks.
A tribute to John Hunter, creator of the matplotlib Python library, reflecting on his impact on scientific computing and open source.
The story of Open Research Computation, a journal promoting high-quality open-source scientific code, its launch, challenges, and eventual reorientation.
Overview of new features in scikit-learn 0.11, including non-linear models, semi-supervised learning, and sparse models for Python machine learning.
Scikit-learn and related Python libraries have students accepted for Google Summer of Code projects focused on performance and new features.
A developer discusses the challenges of open-source maintenance and urges users to contribute code instead of demanding features.
A review of the book 'NumPy 1.5 Beginner's Guide', covering its content, style, and suitability for learning numerical computing with Python.
Joblib 0.6 beta release introduces fast compressed persistence for Python objects and Python 3 support, improving I/O performance.
A Cython tutorial on creating NumPy arrays from existing C-allocated memory without copying data, using PyArray_SimpleNewFromData.
The article discusses the growing inclusion of Python tracks at scientific conferences, focusing on computational science and high-performance computing.
A personal recap of the Scipy 2011 conference, highlighting keynotes on scientific software, data mining with Python, and trends in statistics and parallel computing.
Announcing early bird registration deadline for EuroSciPy 2011, a conference on scientific computing with Python, featuring tutorials and talks.
Announcement for a 2-year junior engineer position to work on the scikit-learn machine learning library at INRIA near Paris.
EuroScipy conference in Paris announces program details, keynote speakers, and a new poster session. Submission deadline is May 8th.
The scikit-learn team announces a community sprint on April 1st for improving the Python machine learning library, with in-person and remote participation.
A guide to Christoph Gohlke's repository of pre-compiled Windows binaries for scientific Python packages like NumPy, SciPy, and scikit-learn.
