Python File Handling, Python Error Handling, Python Exception Handling, Python Modules, and Python Packages explained for beginners in this live Python class. Learn Python from scratch with real-world examples, coding exercises, and hands-on practice.
🔥 Python Developer Series #4 | Phase 2: Intermediate Python
In today's live session, we'll begin Phase 2 of the Python Developer Bootcamp and learn how professional Python developers organize code, handle files, manage errors, and structure Python applications.
📚 Today's Topics
✅ Python File Handling
✅ Reading & Writing Files
✅ Python Error Handling
✅ Python Exception Handling
✅ Try, Except & Finally
✅ Python Modules
✅ Python Packages
✅ Code Organization Best Practices
✅ Live Coding Practice
✅ Real-Time Doubt Solving
📌 Chapters
00:00 Python Live Stream Introduction
04:19 Python Developer Roadmap Overview
07:57 Phase 2 Intermediate Python Roadmap
10:42 CODE WITH NM Family & Discord Community
19:39 Python Quizzes on CodeWithNM
28:31 Python Error Handling & Exception Handling
01:20:55 Python File Handling
02:05:00 Python Modules & Packages
📅 24 June 2026
⏰ 8:00 PM IST
🚀 Phase 2 Roadmap
✅ File Handling
✅ Error Handling
🔜 OOP Basics
🔜 JSON
🔜 APIs
🔜 Weather App Project
📚 Playlist:
Python Developer Bootcamp | Live Learning with CodeWithNM
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👨💻 About CODE WITH NM
Welcome to CODE WITH NM — a live-learning platform founded by Nilesh Maurya, helping students and professionals become industry-ready through structured roadmaps, real-world projects, and community-driven learning.
🌟 Join the CodeWithNM Family:
/ discord
Inside Discord:
✅ Session Notes
✅ Doubt Corner
✅ Code Sharing
✅ Learning Resources
✅ Challenges
✅ Community Support
👨💻 Founder:
Nilesh Maurya
🌐 Website:
https://codewithnm.com
📸 Instagram:
/ codewithnm
💻 GitHub:
https://github.com/codewithnm
🚀 Learning Roadmap
Python Developer → Data Analyst → Data Science → Machine Learning → AI → LLM Applications
🚀 Learn:
Python • JavaScript • React • Next.js • Angular • Node.js • Express.js • Full Stack Development • Data Analytics • Data Science • Machine Learning • Artificial Intelligence • Cloud Computing • LLM Applications
💬 Have questions? Drop them in the comments.
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🔻 Music Credit
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