Python generators are powerful tools for creating memory-efficient iterators that generate values on-the-fly using yield. They excel at handling large datasets or infinite sequences, like streaming data. This beginner’s guide explains their workings, benefits like lazy evaluation, and use cases such as processing chunks of large files.
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Python Weird Behaviors: 10 Mind-Bending Quirks You Must Know
Python’s popularity has surged with the rise of AI/machine learning, due to its extensive libraries. The language is easy to learn but has some strange behaviors. The article discusses five such peculiarities: improper use of ‘is’ for comparisons, initializing 2D arrays, mutable default arguments, duck typing issues, and the Global Interpreter Lock (GIL).
Create Multi-Container Docker Application from Scratch
This tutorial guides you through building a multi-container Docker application from scratch using Docker Compose. It demonstrates how to set up a Python Flask backend, a Redis database, and an Nginx web server, each within its own container. By following structured steps, you’ll learn to configure, build, and orchestrate these services effectively.
Mastering NVML Python: The Ultimate GPU Monitoring Guide
Have you ever wanted to monitor your NVIDIA GPU directly from your Python code? I’ve been there, and I’m going to show you exactly how to do it. I first discovered NVML Python when I participated in Google Summer of Code several years back, working on Ganglia’s GPU monitoring module. Trust me, once you learn […]




