2024-04-23 –, B05-B06
In this talk, we discuss computational operations and memory utilization in Python and what is the connection between them. Additionally, we will provide you with visual aids for helping to build a mental picture of these concepts. Moreover, we will dive into how Python interpreter works and how the understanding of bytecode instructions can help you write better code. In the end, we will demonstrate the advantages of best practices by comparing both performance metrics and bytecode instructions.
Nowadays, more and more companies are looking for different strategies to gain more users for their products by using different approaches starting from introducing unique features to optimizing application performance. Additionally, python is one of the widely used programming languages where the community continuously introduces new libraries for enhancing performance and optimizing memory usage. However, can we also accelerate app performance not only by relying on libraries but also by understanding how Python works under the hood?
In this talk, we discuss computational operations and memory utilization in Python and what is the connection between them. Additionally, we will provide you with visual aids for helping to build a mental picture of these concepts. Moreover, we will dive into how Python interpreter works and how the understanding of bytecode instructions can help you write better code. In the end, we will demonstrate the advantages of best practices by comparing both performance metrics and bytecode instructions.
If you're keen to move beyond basic optimizations and truly understand what happens under Python's hood during application execution, this session is for you. Join us to learn how Python works under the hood and also have an imagination of what is going on in Python during the application execution.
Novice
Expected audience expertise: Python:Novice
Abstract as a tweet (X) or toot (Mastodon):If you're keen to move beyond basic optimizations and truly understand what happens under Python's hood during application execution, this session is for you.Boost your app to Flash speed by mastering performance tricks by @laysauchoa and @yuliia_barabash
Laysa is a digital architect who constructs scalable structures using the magic of the cloud and Python. She is a certified cloud engineer and an enthusiastic advocate of the Python language and its environments. In addition to this, she serves as the leader of the PyLadies Munich chapter—a community where individuals gather to learn, share, and nurture their growth.
I have lived in Germany for the past five years, during which I have gained a diverse range of experiences in the tech industry. My expertise spans from developing web applications in Python to constructing AWS cloud solutions. I have a good understanding of design patterns, Object-Oriented Programming (OOP), event-driven architecture, and microservices architectures. Additionally, I have hands-on experience with REST API design and database technologies. I am continuously committed to enhancing my skills and ensuring that I utilize tools in the best practices.