Bài 1.3: Giới Thiệu Django Advanced - Phần 3 - Environment Setup và Learning Methods

**Series Navigation:** - [Bài 1.1: Tổng Quan và Prerequisites](/django-advance/introduction-django-advanced-phan-1) - [Bài 1.2: Roadmap 100 Bài Học](/django-advance/introduction-django-advanced-phan-2) - **Bài 1.3 (bài này): Environment Setup và Learning Methods** 👈 - [Bài 1.4: Career Path, Resources, Community](/django-advance/introduction-django-advanced-phan-4)

Mục Tiêu Bài 1.3

Sau khi hoàn thành Bài 1.3 này, bạn sẽ:

✅ Setup hoàn chỉnh development environment
✅ Cài đặt tất cả tools cần thiết
✅ Hiểu phương pháp học hiệu quả
✅ Tạo study schedule phù hợp
✅ Track progress và stay motivated

Environment Setup Chi Tiết

System Requirements

Minimum:

CPU: 2 cores
RAM: 8 GB
Storage: 50 GB free space
OS: macOS, Linux, hoặc Windows 10/11

Recommended:

CPU: 4+ cores
RAM: 16 GB
Storage: 100 GB SSD
OS: macOS hoặc Linux (Ubuntu 20.04+)

Core Software Installation

1. Python 3.10+

macOS (Homebrew):

brew install python@3.11python3.11 --version

Ubuntu/Debian:

sudo apt updatesudo apt install python3.11 python3.11-venv python3-pippython3.11 --version

Windows:
Download từ python.org và cài đặt (check "Add to PATH").

2. PostgreSQL 14+

macOS:

brew install postgresql@14brew services start postgresql@14

Ubuntu:

sudo apt install postgresql postgresql-contribsudo systemctl start postgresql

Verification:

psql --version# Expected: psql (PostgreSQL) 14.x

3. Redis 7+

macOS:

brew install redisbrew services start redis

Ubuntu:

sudo apt install redis-serversudo systemctl start redis

Verification:

redis-cli ping# Expected: PONG

4. Docker & Docker Compose

macOS/Windows:
Download Docker Desktop từ docker.com

Ubuntu:

# Install Dockercurl -fsSL https://get.docker.com -o get-docker.shsudo sh get-docker.sh # Install Docker Composesudo apt install docker-compose # Verifydocker --versiondocker-compose --version

5. Git

macOS:

brew install git

Ubuntu:

sudo apt install git

Configuration:

git config --global user.name "Your Name"git config --global user.email "your.email@example.com"

IDE Setup

Option 1: VS Code (Recommended)

Installation:
Download từ code.visualstudio.com

Essential Extensions:

Python (Microsoft)
Pylance (Microsoft)
Django (Baptiste Darthenay)
REST Client (Huachao Mao)
Docker (Microsoft)
GitLens (GitKraken)
Better Comments
Error Lens

Settings (settings.json):

{  "python.linting.enabled": true,  "python.linting.pylintEnabled": false,  "python.linting.flake8Enabled": true,  "python.formatting.provider": "black",  "python.formatting.blackArgs": ["--line-length", "88"],  "editor.formatOnSave": true,  "editor.rulers": [88],  "files.exclude": {    "**/__pycache__": true,    "**/*.pyc": true  }}

Option 2: PyCharm Professional

Pros:

Django-specific features
Excellent debugging
Database tools built-in
Advanced refactoring

Cons:

Paid (free for students)
Heavier than VS Code

Python Virtual Environment

Create project structure:

mkdir django-advanced-workspacecd django-advanced-workspace # Create virtual environmentpython3.11 -m venv venv # Activate (macOS/Linux)source venv/bin/activate # Activate (Windows)venv\Scripts\activate # Upgrade pippip install --upgrade pip

Essential Python Packages

Create requirements.txt:

# Django CoreDjango>=5.0,<5.1psycopg2-binary>=2.9.9 # Django REST Frameworkdjangorestframework>=3.14.0djangorestframework-simplejwt>=5.3.0drf-spectacular>=0.26.5django-filter>=23.3django-cors-headers>=4.3.0 # Celerycelery[redis]>=5.3.4django-celery-beat>=2.5.0django-celery-results>=2.5.1flower>=2.0.1 # Channelschannels>=4.0.0channels-redis>=4.1.0daphne>=4.0.0 # Caching & Storageredis>=5.0.1django-redis>=5.4.0django-storages[s3]>=1.14.2boto3>=1.29.7 # Databasedjango-extensions>=3.2.3 # Testingpytest>=7.4.3pytest-django>=4.7.0factory-boy>=3.3.0Faker>=20.1.0coverage>=7.3.2locust>=2.19.1 # Code Qualityblack>=23.11.0flake8>=6.1.0pylint>=3.0.3pylint-django>=2.5.5mypy>=1.7.1 # Debugging & Monitoringdjango-debug-toolbar>=4.2.0django-silk>=5.0.4sentry-sdk>=1.38.0 # Utilitiespython-dotenv>=1.0.0Pillow>=10.1.0gunicorn>=21.2.0

Install:

pip install -r requirements.txt

Development Tools

1. Postman hoặc Insomnia

Purpose: API testing

Postman:

Download từ postman.com
Create workspace cho Django Advanced
Import OpenAPI schemas

Insomnia:

Download từ insomnia.rest
Lightweight alternative

2. Database GUI

pgAdmin (PostgreSQL):

# macOSbrew install --cask pgadmin4 # Ubuntusudo apt install pgadmin4

DBeaver (Universal):
Download từ dbeaver.io

3. Redis GUI

RedisInsight:
Download từ redis.com/redis-enterprise/redis-insight/

4. API Documentation

Swagger Editor:
Access online: editor.swagger.io

Learning Methods & Best Practices

1. Active Learning Approach

Theory → Practice Cycle

Step 1: Read & Understand (20%)

Đọc lesson content
Take notes (handwritten or digital)
Highlight key concepts
List questions

Step 2: Code Along (30%)

Type every example yourself
Don't copy-paste
Experiment with variations
Break things intentionally

Step 3: Practice Exercises (30%)

Complete all exercises
Don't look at solutions immediately
Debug errors yourself
Google when stuck (15-minute rule)

Step 4: Build Projects (20%)

Apply concepts to projects
Add extra features
Refactor và optimize
Deploy to production

2. Spaced Repetition

Daily Review:

Spend 15 minutes reviewing previous day
Quick quiz yourself
Revisit tricky concepts

Weekly Review:

Dedicate 1-2 hours Sunday/Saturday
Review entire week's content
Identify weak areas
Redo challenging exercises

Monthly Review:

Full module review
Build mini-project integrating all concepts
Update personal notes/cheatsheet

3. Deliberate Practice

Focus Areas:

Identify weak spots
Practice specifically those
Track improvement
Celebrate progress

Practice Techniques:

Pomodoro: 25 min focus + 5 min break
Time-boxing: Allocate specific time per task
Pair programming: Work with peers (virtual)

4. Project-Based Learning

Build Variations:
Cho mỗi project trong course, build thêm:

Different domain (e.g., e-commerce → bookstore)
Extra features (wishlists, reviews)
Mobile API version
Admin dashboard

Portfolio Projects:
Parallel với course, build 2-3 personal projects:

Something you're passionate about
Solves real problem
Can show employers
Deploy publicly

5. Learning Resources Integration

Documentation First:

Always read official Django docs
Check DRF docs for API features
Reference is your friend

Stack Overflow Smart:

Search before asking
Read multiple answers
Understand why solution works
Contribute answers when you can

Video Tutorials:

Supplement, not replace
Watch at 1.5x speed
Take notes
Practice afterwards

Books:

"Two Scoops of Django" (Best practices)
"High Performance Django" (Optimization)
"Django for APIs" (DRF focus)

6. Code Quality Habits

From Day One:

Write docstrings
Add type hints
Follow PEP 8 (use black)
Write tests
Use meaningful names
Comment complex logic

Code Review:

Review own code next day
Ask for peer reviews
Review others' code (GitHub)

7. Note-Taking System

Digital Notes:

Use Notion, Obsidian, or Markdown files
Organize by module
Add code snippets
Link related concepts

Personal Cheatsheet:
Build your own reference:

Common patterns
Gotchas to avoid
Useful commands
Code templates

8. Accountability & Motivation

Public Commitment:

Share goals on social media
Blog about learning journey
Tweet progress (#100DaysOfCode)
Join study groups

Track Progress:

GitHub contributions calendar
Learning journal
Project checklist
Skill self-assessment

Rewards System:

After each module: Watch movie
After each project: Buy something nice
After completion: Celebrate big!

Study Schedule Templates

Full-Time Schedule (40+ hrs/week)

Monday-Friday:

09:00-10:00: Review previous day + notes10:00-12:00: New lesson (theory + practice)12:00-13:00: Lunch break13:00-15:00: Exercises + experimentation15:00-15:30: Break + walk15:30-17:00: Project work17:00-18:00: Community (Discord, Stack Overflow)

Weekend:

Saturday:   - Review entire week  - Work on portfolio project  - Write blog post Sunday:  - Plan next week  - Light review  - Rest!

Part-Time Schedule (15-20 hrs/week)

Weekdays (2 hours/day):

Evening 20:00-22:00:  - Monday/Wednesday/Friday: New lessons  - Tuesday/Thursday: Exercises + project work

Weekend (5-10 hours):

Saturday:  - 4-5 hours intensive project work  Sunday:  - 2-3 hours review + planning  - 2 hours community engagement

Weekend-Only Schedule (8-10 hrs/week)

Saturday (5-6 hours):

09:00-12:00: New lesson + exercises12:00-13:00: Lunch13:00-15:00: Practice + experimentation

Sunday (4-5 hours):

14:00-17:00: Project work17:00-18:00: Review + planning

Progress Tracking

Self-Assessment Rubric

Rate yourself 1-5 after each lesson:

5: Can teach others, apply confidently
4: Understand well, can apply with minor help
3: Understand basics, need practice
2: Confused, need to review
1: Totally lost

Action Based on Score:

4-5: Move forward
3: Extra practice before moving on
1-2: Re-study lesson, seek help

Milestone Checklist

Phase 1 Milestones:

Complete Bài 1-5: DRF basics
Complete Bài 6-10: DRF advanced
Complete Bài 11-15: Advanced DRF + Celery
Complete Bài 16-20: Real-time + Caching
Complete Bài 21-25: Security + Performance

Phase 2 Milestones:

Project 1: E-commerce
Project 2: Social Media
Project 3: Video Streaming
Project 4: Healthcare
Project 5: Trading
Project 6: Learning
Project 7: IoT
Project 8: ERP
Project 9: Ride-Sharing
Project 10: Microservices

Portfolio Tracking

Minimum Portfolio:

3 complete projects from course
2 personal projects
All deployed và accessible
README với screenshots
Clean code on GitHub

Tips for Success

Do's ✅

Code every single day
Start small, build momentum
Ask for help after trying
Take breaks
Sleep well (7-8 hours)
Exercise regularly
Join community
Share your work
Celebrate small wins

Don'ts ❌

Don't skip fundamentals
Don't copy-paste without understanding
Don't give up after errors
Don't compare with others negatively
Don't multitask while coding
Don't ignore testing
Don't deploy without testing
Don't rush through lessons

When Stuck

15-Minute Rule:

Try solving for 15 minutes
Google specifically
Check documentation
Still stuck? Ask for help

Where to Ask:

Django Discord
Stack Overflow
Reddit r/django
Course community

How to Ask:

Show what you've tried
Provide error messages
Share relevant code
Be specific

Tóm Tắt Bài 1.3

Trong Bài 1.3 này, bạn đã học:

✅ Environment Setup:

Python, PostgreSQL, Redis, Docker
IDE: VS Code hoặc PyCharm
Virtual environment
Essential packages

✅ Development Tools:

Postman/Insomnia
Database GUIs
Redis clients
Documentation tools

✅ Learning Methods:

Active learning cycle
Spaced repetition
Deliberate practice
Project-based approach

✅ Study Schedules:

Full-time: 40+ hrs/week
Part-time: 15-20 hrs/week
Weekend: 8-10 hrs/week

✅ Progress Tracking:

Self-assessment rubric
Milestone checklist
Portfolio tracking

Next Steps

Trong Bài 1.4, bạn sẽ học:

Career opportunities với Django Advanced
Salary expectations
Resources và documentation
Community và networking
Long-term learning path

Navigation:

← Bài 1.2: Roadmap 100 Bài Học
Bài 1.3: Environment Setup và Learning Methods (current)
Bài 1.4: Career Path, Resources, Community →

#learning-methods

Giới Thiệu Django Advanced - Phần 3 - Environment Setup và Learning Methods