PayPal & Python

Махмуд, ведущий разработчик в PayPal, рассказал нам, почему мифы — такие мифы и как правильно готовить Python в энтерпрайзе

I joined PayPal a few years ago, and chose Python to work on internal applications, but I’ve personally found production PayPal Python code from nearly 15 years ago.

Today, Python powers over 50 projects, including:

Features and products, such as eBay Now and RedLaser

Operations and infrastructure, both OpenStack and proprietary

Mid-tier services and applications, like the one used to set PayPal’s prices and check customer feature eligibility

Monitoring agents and interfaces, used for several deployment and security use cases

Batch jobs for data import, price adjustment, and more

And far too many developer tools to count

In the coming series of posts I’ll detail the initiatives and technologies that led the eBay/PayPal Python community to grow from just under 25 engineers in 2011 to over 260 in 2014. For this introductory post, I’ll be focusing on the 10 myths I’ve had to debunk the most in eBay and PayPal’s enterprise environments

https://www.paypal-engineering.com/2014/12/10/10-myths-of-enterprise-python/

Myth #1: Python is a new language

Myth #2: Python is not compiled

Myth #3: Python is not secure

Myth #4: Python is a scripting language

Myth #5: Python is weakly-typed

Myth #6: Python is slow

Myth #7: Python does not scale

Myth #8: Python lacks good concurrency support

Myth #9: Python programmers are scarce

Myth #10: Python is not for big projects

https://www.paypal-engineering.com/2014/12/10/10-myths-of-enterprise-python/

Из этой десятки мифов реальный интерес представляют номера 3, 6, 7, 8.

Приводя примеры из жизни, Махмуд на пальцах объясняет, почему это всего лишь мифы а не горькая правда жизни.

original post http://vasnake.blogspot.com/2015/03/paypa-python.html