- Data analytics library with modular, re-usable components
- Ease of adoption in the Python community
- Works alongside Pandas
Finally, the best software engineering practices applied to large-scale data analytics.
|Object-oriented API for relational data|
|Tailored to analytics|
|Performance and scalability|
|Pythonic query language|
|Virtual approach to derived data||Limited|
|Platform and database agnostic|
|Ease of development and adoption in Python community|
|Modular, reusable and testable components|
Edith is quantitative finance expert with 25 years of experience and a long record of leadership at the Fixed Income businesses of Goldman Sachs, Citadel and KCG.
Mikhail has 25 years of experience designing and developing comprehensive software solutions for financial institutions, focusing on Fixed Income and lending.