PyParis would not be possible without the help of our generous sponsors.

Note: if you’d like to become a sponsor, please check this presentation.

Silver Sponsors


Abilian is an innovative open source software vendor in the emerging collaboration and business-oriented social networking market.


Systematic Paris Region

The French SYSTEMATIC PARIS-REGION competitiveness cluster brings together 600 key players in the Paris region working in the field of software-dominant systems and focusing on markets with a strong social dimension. Based on 5 key areas - Automotive & Transport, Free and Open Source Software, Security & Defence, Systems Design and Development Tools, Telecoms - the goal of the cluster is to develop the regional economy and boost the competitiveness by leveraging innovation, training and partnership opportunities.

Since 2009, Systematic deploys its technologies towards new markets, including “ICT & Sustainable Cities” and “ICT & Health” which are at the heart of the 21st century challenges and whose development increasingly relies on the know-how of Systematic members.

Since 2005, Systematic has developed 258 R&D projects representing a total R&D investment of €1.2 billion including €450M funded by the French Government, its economic development agencies and from the Paris-Region local authorities.



Other Supporting Organisations


ESILV, Leonard de Vinci graduate school of engineering is a general engineering school at the heart of digital technologies. The educational project of ESILV revolves around science and digital technology combined with 4 major specializations: IT, digital and mechanical modeling, quantitative finance and new energy. ESILV is a member of the CGE, the UGEI, the CDEFI and Campus France.


The mission of NumFOCUS is to promote sustainable high-level programming languages, open code development, and reproducible scientific research. We accomplish this mission through our educational programs and events as well as through fiscal sponsorship of open source data science projects. We aim to increase collaboration and communication within the scientific computing community.


PyData brings together both users and developers of data analysis tools to share ideas and learn from each other. The goals are to provide data science enthusiasts, across various domains, a place to discuss how best to apply languages and tools to the challenges of data management, processing, analytics, and visualization.