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Is it me or Python memory management?

Level:
intermediate
Duration:
30 minutes

Abstract

Have you ever wondered if Python memory management is playing tricks on you? Starting small, everything runs smoothly. But as your application scales, complexity grows, and memory issues rear their head. You ask yourself, “Is it me or Python memory management?”In this talk, we’ll show you how Python memory works, provide tools to analyze memory usage and share practical optimization tips. Whether you’re a seasoned Python developer or just starting on your Python journey, this talk is designed to provide you with techniques to overcome Python memory management challenges and write more efficient, memory-conscious code.


The speakers

Yuliia Barabash

Yuliia Barabash

Over the past five years living in Germany, I’ve immersed myself in the tech industry, acquiring a broad spectrum of experiences. My skill set is diverse, covering the development of web applications using Python and the creation of robust AWS cloud solutions. I possess a solid grasp of design patterns and Object-Oriented Programming (OOP), alongside a proficiency in event-driven and microservices architectures. My experience extends to designing REST APIs and working with various database technologies. Committed to continuous learning, I consistently improve my skills to employ tools and technologies following industry best practices.

Laysa Uchoa

Laysa Uchoa

I’m a digital architect who constructs scalable structures using the magic of the cloud and Python. I’m a certified cloud engineer and an enthusiastic advocate of the Python language and its environments. In addition to this, I am the leader of the PyLadies Munich chapter — a community where individuals gather to learn, share, and nurture their growth.