Introduction to Python Django, starting with Django design philosophy

Understanding the philosophy of Django
Enjoy Django the right way 💪

Django lecture for beginners who want to start properly 🔥

This is a theory-oriented introductory lecture that deeply explains the grammar required for Django and the design philosophy of Django. There is an existing < Complete Guide to Python/Django Web Service Development with React > lecture, but it is too large and may be burdensome for beginners, so I created this lecture for beginners. It consists of introductory content that was not covered in the previous lecture .

However, it may be difficult for those who are new to web development. For those who are new to web development , Life Coding I recommend that you study the YouTube lecture first.

Life is short. Save your time by clearly understanding/utilizing Python and Django.

I recommend this to these people 🙋‍♀️

After learning basic Python grammar, those who want to start learning web app development

Those who lack understanding of the basic grammar required to learn Django

Anyone who wants to understand Django more deeply through Django's design philosophy

Anyone who wants to freely read and utilize application code implemented in Django

Lecture Features ✨

Learn things like this 📚

1. Establishing a development environment

We will guide you through setting up the latest Windows/Mac development environment.

• Instead of manually installing each necessary program, install them all at once from the command line via a package manager (scoop for Windows, homebrew for Mac).
• Installing and managing multiple Pythons on your PC is difficult. However, with pyenv, you can easily use different Python versions/interpreters for each project.
• There is no doubt that Visual Studio Code is the most popular editor in the world. But not for Django development. We will install and guide you through PyCharm Professional, the best IDE for Django development.

2. Django Core Design Philosophy Overall

We cover the 'General' chapter of Django's design philosophy. Django is perceived as slow and difficult to learn because it is large. Django's design philosophy includes 'loose coupling'. Django only provides many basic functions. On the other hand, many people think that Flask is vaguely fast, but it is a micro framework with few functions. The performance of an application is not determined by the language/framework. It depends on the developer.

3. Client request processing and URL mapping

Django's design philosophy <View> and Let's take a look at it.

• Python syntax covered: functions, positional/keywords, default arguments, closures, first-class functions/classes, type hinting
• Django implements view implementation as a function (Callable Object), which simplifies view implementation. Let's compare it to request processing in Spring.
• Practice: Let's implement the posting list page and the posting view page.

4. Template System

Let's use the Django template system to complete the email subject/content and practice sending SMTP emails.

• How to efficiently combine email message strings using the Django template system
• How to set up SMTP (Simple Mail Transfer Protocol) in Naver Mail
• Sending SMTP mail using Django's 'Custom Management Commands' system

5. Decorators and Views

Let's look at the necessity of the Decorators syntax, which is actively used in Django, and how to create a decorator.

• We take a deeper look at decorators as a way to implement AOP (Aspect Oriented Programming) in Python.
• Introducing decorators in Django: cache_page (caching view responses), login_required (moving to login page when not logged in), transaction.atomic (DB transaction), user_passes_test (checking user permissions with custom rules), permission_required (checking user permissions)
• Practice: Let's easily check whether the user is logged in when accessing a specific page using the login_required decorator.

6. Database processing using Django models

We will look at the Django design philosophy <Model> and the <Django Model> supported by ORM (Object Relational Mapping) technology.

• Django models use class syntax. Let's look at the difference between class variable/instance variable syntax, which is often confused in Python class syntax, and descriptor syntax used when defining Django model fields.
• Let's take a quick look at defining a model class and how database tables are created/managed using the migration feature.

7. Database API

Let's take a look at Django's design philosophy <Database API>.

• Concise and powerful syntax: You should be able to create richly expressive queries with as little syntax as possible.
• SQL Efficiency: Provides a way to query 'related objects' together for high performance.
• It should be easy to write SQL statements when needed: SQL queries can be executed without intervention from the model.

Expected Questions Q&A 💬

Introducing the knowledge sharer ✒️

I am Jinseok Lee, a software developer who is passionate about Python and Django.

• Pythonholic, 12 years of Django experience developer
• Operator of Ask Company with Django/React (formerly Ask Django) Q&A Community
• Ask Company operator of Python/Django education service
• Daejeon <Python Love Room> Operator
• Microsoft Azure MVP Award Winner (2016-2021, What is a Microsoft MVP? )
• Seoul National University, Joint Major in Venture Management, Python/Django Lecture "Venture Startup Web Programming" Instructor (2016/2017)
• Fast Campus, Web Service Development Camp (Python/Django) 3rd Instructor, 2nd Assistant (2015)
• Lectures and consulting at numerous universities and companies: Seoul National University, KAIST, Pusan National University, Hanyang University, Kookmin University, Samsung Electronics, LG Electronics, LS Group, SK Planet, Encore, KB Securities, SK Telink, Hyundai Motor Group Innocean, Koscom, Naver NIT Service, Art Center Nabi, Bank of Korea, Korea Institute of Industrial Technology Evaluation and Planning, etc.

YouTube video

Through the Django Live Coding Show (50 min. YouTube St.) video, we will show you the power of Django web development through live coding.