PyData
1 HN recommender · recommended in 7 months, 2018–2022
44:45 · 10K views · May 28, 2018
A PyData London 2018 talk on how JPMorgan scaled its Athena Python platform over ten years to about 35 million lines of code and thousands of developers. It covers infrastructure, tooling and culture for analytics and visualization at that scale.
Cited as the definitive public account of Python at massive scale, especially in discussions of monorepos and bank Python.
8 comments from Hacker News
As the comment by timsworkaccount says, this is definitely Athena at JPMorgan. For those interested, I gave a talk on Athena at PyData UK 2018 called "Python at Massive Scale". 4500 developers making 20k commits a week. Codebase with 35m LOC. The video is here: this video It covers Athena's origins, what it is used for, application architecture, infrastructure, dev tooling and culture.
>Python shines beautifully as a (somewhat) cross platform scripting language Python is much more than just a scripting language. I remember attending this talk[1] a few years about JPMorgan's 35 million LOC Python codebase. Python is being used to built seriously large software nowadays and I don't think performance is ever a minor issue. It should always be in the top 3 for any general purpose language because it directly translates into development speed, time and money. [1] this video
I worked on Athena at JPMorgan for 8 years, and loved it. Seeing Python at the core of trading, risk and post-trade processing for Commodities, FX, Credit etc was such a great developer experience. By the time I left JPM, there were 4500 devs globally making 20k commits weekly into the Athena codebase. (I did a PyData presentation on this [1] for more details). The one downside was the delayed transition from Py2.7 to 3; I left just as that was getting underway. [1] this video The
>How stable is python to run a full trading / quantitative algorithm on? JP Morgan operates a ~30 million LOC Python platform for trading and analytics. (related talk: this video ) Yes, there are very, very large working python codebases in fields out there that demand correctness. I'm honestly getting tired of the static typing circlejerk that has entered the industry.
See [1] for a PyData London talk I did on "Python at Massive Scale", about JPMorgan's Athena trading and risk management system, used for FX, Commodities, Credit, Equities, etc trading. At that time, Athena had 4,500 Python developers doing 20,000 commits a week. Also see one recent HN discussion on "An Oral History of Bank Python" [2]. [1] this video [2] [LINK]