惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Martin Fowler
Martin Fowler
D
DataBreaches.Net
F
Fortinet All Blogs
阮一峰的网络日志
阮一峰的网络日志
博客园_首页
Apple Machine Learning Research
Apple Machine Learning Research
H
Help Net Security
M
MIT News - Artificial intelligence
美团技术团队
人人都是产品经理
人人都是产品经理
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
The Cloudflare Blog
有赞技术团队
有赞技术团队
L
LangChain Blog
博客园 - Franky
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
博客园 - 【当耐特】
S
SegmentFault 最新的问题
V
Visual Studio Blog
Blog — PlanetScale
Blog — PlanetScale
Hugging Face - Blog
Hugging Face - Blog
B
Blog
I
InfoQ

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant
Day-2 of learning Python | Exploring Python Shell and Mod...
Samiksha Sri · 2026-05-05 · via DEV Community

Samiksha Srivastav

While learning python today, I spent some time understanding how the Python shell works and how modules behave inside it.

The Python shell (or REPL) is basically an interactive environment where you can run code line-by-line. It's super useful when you just want to test something quickly instead of running a full script every time.

While experimenting, I tried something interesting. I created a Python file, defined a few functions and variables in it, and then imported that file into the Python shell. everything worked perfectly at first.

But then I made some changes in the file - added few functions and modified a few existing ones - and tried to use them again in the shell. Surprisingly, I started getting errors.

At first, it felt confusing because I had clearly updated the code. But then I learned what was actually happening behind the scenes.

When we import a module in Python, it gets loaded into the memory once. So even if we change the file later and save them, the Python shell doesn't automatically pick up those changes.

To fix this, Python provides a way to reload the module using the importlib module:

import importlib
importlib.reload(module_name)

This forces Python to reload the module and reflect the latest changes.

It was a small thing, but understanding this made the behavior of Python much clearer to me. It also showed me how important it is to know what's happening internally, not just write code.