SciPy 2020

Enthought, as Institutional Sponsor, announced the SciPy 2020 Conference will be held July 6-12, 2020 in Austin, Texas. At this 19th annual instalment of the conference, scientists, engineers, data scientists and researchers will participate in tutorials, talks and developer sprints designed to foster the continued rapid growth of the scientific Python ecosystem. This year’s 900 expected attendees represent academia, government, national research laboratories, and industries such as aerospace, biotechnology, finance, oil and gas and more. The SciPy community is incredibly energized, friendly and passionate about their work, making this conference particularly welcoming and informative.

“Since 2002, the SciPy Conference has been a highly anticipated annual event for the scientific and analytic computing community,” said Dr. Eric Jones, CEO at Enthought and SciPy Conference co-founder. “Python is now the most widely used open source programming language for science, engineering and analytics with widespread adoption in research and industry. The powerful tools and libraries the SciPy community has developed are used by millions, creating entirely new areas of discovery and innovation.”

Special topical themes for this year’s conference are “Machine Learning” and “High Performance Python.” The conference will also have a SciPy Tools Plenary Session with updates from important packages and libraries as well as introductions to new tools. The conference will be hosting its first maintainers track to promote discussion and sharing among maintainers and core developers. This year’s keynote speakers include:

  • Anne Carpenter, senior director of the Imaging Platform at the Broad Institute of MIT and Harvard University
  • Andrew Chael,  NASA Hubble Fellowship Program (NHFP) Einstein Fellow at the Princeton University Center for Theoretical Science. A member of the Event Horizon Telescope (EHT) collaboration.
  • Stephen Schlamminger, Supervisory Physicist at NIST 

In addition to the special conference themes, there will also be over 100 talk and poster paper speakers/presenters covering 4 mini-symposia tracks: 

  1. Astronomy and Astrophysics
  2. Biology and Bioinformatics
  3. Materials Science
  4. Earth, Ocean, Geo and Atmospheric Science.

Conference, tutorial and sprint registration is open at

About the SciPy Conference

SciPy 2020, the 19th annual Scientific Computing with Python conference, will be held July 6-12, 2020 in Austin, Texas. SciPy is a community dedicated to the advancement of scientific computing through open source Python software for mathematics, science and engineering. The annual SciPy Conference allows participants from all types of organizations to showcase their latest projects, learn from skilled users and developers and collaborate on code development. The conference includes 2 days of tutorials, 3 conference days and 2 days of developer sprints. For more information or to register, visit

About Enthought

Founded in 2001, Enthought helped establish Python’s scientific community and became an early leader in scientific digital transformation. Our team of “scientists who code” pairs in-depth science expertise with data strategy, modeling, simulation, AI and more to transform businesses that depend on science. We solve complex problems for some of the most innovative and respected organizations across the energy, life sciences, chemical, and manufacturing industries. Enthought is a highly collaborative, low-hierarchy workplace. “Enthoughters” are passionate about life, intellectually curious, dedicated to doing quality work, friendly, and fun. Enthought is headquartered in Austin, Texas, with offices in Houston, Texas, Cambridge, United Kingdom, Zürich, Switzerland, and Tokyo, Japan.

Share this article:

Related Content


Enthought GKチームは、東京で開催されたライフサイエンスカンファレンス「ファーマIT&デジタルヘルスエキスポ2022」に出展し、技術的な見識と市場成長の活性化を求めて集まる製薬業界のリーダーたちと会談しました。三日間の会期中に200社が出展し、6700人以上の参加者が集まりました。 デジタルトランスフォーメーションが主要テーマである本展示会は、当社のターゲットとする企業に、製薬業界の新薬開発を加速させる当社のサービスを

Read More

Life Sciences Labs Optimize with New Digital Technologies and Upskilling

Labs are resetting the tr…

Read More


OpenAIのChatGPTやGoogleのBardなど、大規模言語モデル(LLM)は自然言語で人と対話する能力において著しい進歩を遂げました。 ユーザーが言葉で要望を入力すれば、LLMは「理解」し、適切な回答を返してくれます。

Read More

Scientists Who Code

Digital skills personas f…

Read More

Digital Transformation of the Materials Science R&D Lab

“Digital transforma…

Read More

SEMI SMC 2021に出展しました。

今年のSEMI Strategic Materia…

Read More

Digital-centric R&D Laboratories

To have a transformative …

Read More