"Your users are asking if they can connect their AI agent to your product, but you want to make sure they can do it safely and securely. Your GitHub Actions workflows are burning time and money, but you're flying blind. Depot's new Analytics shows exactly where your CI spends resources. Track trends, find bottlenecks, optimize across your org. Online Python training created by a community of experts."
"Give your team the 5 Essential Itertools for Data Science Learn 5 essential itertools methods to eliminate manual feature engineering waste. Replace nested loops with systematic functions for interactions, polynomial features, and categorical combinations. CODECUT.AI * Shared by Khuyen Tran A Fun Python Puzzle With Circular Imports from ... import ... and how that impacts circular import references in your code. CHRIS SIEBENMANN"
Five essential itertools methods eliminate manual feature-engineering waste by replacing nested loops with systematic functions for interactions, polynomial features, and categorical combinations. A puzzle demonstrates circular imports using from ... import ... and shows impacts on circular import references. Unittest.mock techniques enable creation of mock objects to manage complex logic and unpredictable dependencies during testing. Depot's Analytics reveals where GitHub Actions CI spends resources to track trends, locate bottlenecks, and optimize workflows across organizations. Python 3.15.0 Alpha 6 is released. The Python Software Foundation launched a Community Partner Program to support events and initiatives with promotional and branding assistance.
Read at Pycoders
Unable to calculate read time
Collection
[
|
...
]