Inspiring Computing

Auteur(s): Gareth Thomas
  • Résumé

  • The Inspiring Computing podcast is where computing meets the real world. This podcast aims to trigger your curiosity by talking to proficient and advanced users of MATLAB, Python, Julia who use these tools to deepen their understanding of the world, simulate, explore trade-offs and gain insights that help companies add more value. In addition to proficient users we will also talk with the product marketing, toolbox authors, package developers and library maintainers to see what drives the development and what issues they are solving for others to benefit from.

    © 2025 Inspiring Computing
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Épisodes
  • The Rise of Narwhals in Open-Source
    Feb 27 2025

     In this episode of Inspiring Computing, Marco Gorelli discusses the unexpected success of Narwhals, a highly downloaded and extremely lightweight and extensible compatibility layer between data frame libraries such as pandas and polars. We dive into Marco's inspiring journey from a mathematics background to becoming a key contributor in the open-source community.

    Marco shares his initial struggles, motivations, and the eventual widespread adoption of narwhals. The conversation goes into the technical underpinnings of his project, from the importance of typing to robust testing techniques. He highlights collaborations, testing practices, and the challenges of maintaining backward compatibility. This episode is both a technical deep dive and an inspiring story of persevering through challenges and negativity to make a substantial impact in the open source ecosystem.

    Here are a few links:

    Quansight YouTube Channel to see Marco coding live.

    Narwal discord

    Support the show

    Subscribe to mailing list here.

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    56 min
  • Exploring stdlib: JavaScript's Answer to Technical Computing
    Feb 20 2025

    This episode of Inspiring Computing features a discussion with Athan, the maintainer of stdlib, a JavaScript library designed for numerical and scientific computing. Athan shares his experience and his career journey, starting from a non-computer science background through his PhD program at Oxford and eventually leading to his passion for open-source development.

    He explains the unique benefits and challenges of building scientific computing tools for the web, emphasizing the powerful capabilities of JavaScript when written correctly. Athan also discusses the importance of standardizing arrays, the evolution of web technologies, and the collaborative efforts required to make projects such as stdlib.io successful.

    This episode highlights industry use cases, potential applications, and the ongoing efforts to attract contributors and to fund open-source initiatives.

    For the curious here is the GitHub repo.

    Support the show

    Subscribe to mailing list here.

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    1 h et 23 min
  • Unlocking Sensor Fusion: From Academia to Real-World Applications
    Dec 9 2024

    In this episode of the Inspiring Computing podcast, Marcus shares his fascinating journey from growing up in Fortaleza, Brazil, to becoming a notable figure in the tech industry in the Netherlands. He discusses his academic background, including his master's and Ph.D. work on sensor fusion and robotics, and how he learned the vital importance of integrating various technologies like MATLAB, Python, and C++ for different applications. Marcus also recounts the challenges and successes in launching his own startup focused on LIDAR technology and explains his motivations for creating a YouTube channel to teach others about Practical Software development. The conversation covers crucial topics such as the use of ROS (Robot Operating System), the complexities of real-world testing, and the significance of respecting language diversity and multidisciplinary collaboration in tech projects.

    Support the show

    Subscribe to mailing list here.

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    1 h et 5 min

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