Bringing interactive visualization to Python notebooks
Overcoming Python Notebooks’ limitations As ActiveViam’s engineers build prototypes for clients and our Data Lab works on finding actionable insights on our clients’ market, business,
Overcoming Python Notebooks’ limitations As ActiveViam’s engineers build prototypes for clients and our Data Lab works on finding actionable insights on our clients’ market, business,
The last decade of regulatory edicts have commanded much larger data volumes than in the past to support thorough analysis and compliance. Big data can
ActiveViam continues to branch out and expand on the use cases for its flagship in-memory data analytics platform, ActivePivot, and is providing the technology behind
This article presents elements of a study carried out by the ActiveViam Data Lab. The ActiveViam Data Lab is composed of data science experts who
Wrenching stock market fluctuations are no longer one-off yearly events, rather more regular occurrences while bond markets are signaling broader economic distress. Managing risk requires
…Using a Snapshot Test Even with the loosest settings, migrating a large project to TypeScript may turn out to be insurmountable. The number of errors
In this article, discover our feedback on using two tools in order to implement end-to-end tests: Cypress vs Puppeteer. End-to-end testing is a methodology which is
Dans cet article vous découvrirez notre retour d’expérience sur l’utilisation de deux outils pour l’implémentation de tests de bout-en-bout (End-to-end) : Cypress vs Puppeteer. Ce
We continue our series of interviews with Benjamin Amelot, Senior UI R&D Engineer at ActiveViam Hello Benjamin, could you tell us a bit about your
This article was written jointly by Azar Khurshid, Director, Global Market Risk Management at Mizuho, Jeanine Prezioso, Content Marketing Manager at ActiveViam and John Le
Sorry! We were unable to process your
request. Please try again!
Your request is submitted successfully!
We will keep you up-to-date.