Description
A Certified Python & Django syllabus typically covers both foundational Python programming as well as in-depth concepts of Django for web development. Below is a detailed outline of what a comprehensive syllabus for such a course might look like:
Duration : 240 Hrs
Module 1: Introduction to Python
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1.1 Python Basics
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Introduction to Python
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Variables, Data Types (Strings, Integers, Floats, Lists, Tuples, Dictionaries)
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Operators: Arithmetic, Comparison, Logical, Bitwise
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Input and Output
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Type Casting and Type Conversion
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Control Structures (If-else, Loops: For, While)
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Functions (Definition, Arguments, Return Values, Lambda functions)
-
-
1.2 Data Structures in Python
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Lists, Tuples, Sets, and Dictionaries
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List Comprehensions
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Strings and Regular Expressions
-
Stacks, Queues, and Linked Lists
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Sorting and Searching Algorithms
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Built-in Python Libraries (e.g.,
math
,datetime
,os
,sys
)
-
-
1.3 Object-Oriented Programming (OOP)
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Classes and Objects
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Instance and Class Variables
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Methods (Instance, Class, Static)
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Inheritance, Polymorphism, Encapsulation
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Abstraction
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Magic Methods (
__init__
,__str__
,__repr__
, etc.)
-
-
1.4 File Handling
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Reading and Writing Files
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Working with CSV, JSON, and other formats
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File Operations (
open
,read
,write
,close
)
-
-
1.5 Error Handling and Debugging
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Exception Handling with
try
,except
,else
,finally
-
Custom Exceptions
-
Debugging Techniques
-
Logging in Python
-
-
1.6 Introduction to Virtual Environments and Package Management
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Setting up and using
virtualenv
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Installing packages with
pip
-
Creating and managing requirements.txt
-
Module 2: Intermediate Python
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2.1 Advanced Data Structures
-
Collections module:
namedtuple
,Counter
,deque
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Working with Iterators and Generators
-
Decorators and their Use Cases
-
Context Managers (
with
statement) -
Multithreading and Multiprocessing
-
-
2.2 Python for Web Scraping and API Interaction
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Using Libraries like
requests
,BeautifulSoup
,Scrapy
-
Making HTTP Requests (GET, POST)
-
Web scraping best practices and ethics
-
Working with APIs: JSON data parsing, RESTful APIs
-
-
2.3 Testing and Documentation
-
Unit Testing with
unittest
andpytest
-
Test-driven Development (TDD)
-
Writing Docstrings (PEP 257)
-
Documentation tools (Sphinx)
-
-
2.4 Databases in Python
-
SQL Basics
-
Connecting to Databases (SQLite, PostgreSQL, MySQL)
-
Using
sqlite3
,SQLAlchemy
-
ORM Basics with SQLAlchemy
-
Module 3: Introduction to Django
-
3.1 Django Basics
-
Introduction to Django Framework
-
Setting up Django Project
-
Django’s MVC Architecture (Model-View-Controller)
-
URL Routing and Views
-
Templates and Static Files
-
Working with Django’s Development Server
-
Django Admin Interface
-
-
3.2 Django Models and Databases
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Django ORM (Object-Relational Mapping)
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Creating and Managing Models
-
Database Migrations (
makemigrations
,migrate
) -
QuerySets and Database Queries
-
Relationships: One-to-One, One-to-Many, Many-to-Many
-
-
3.3 Django Forms
-
Handling Forms in Django
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Django Form Class vs HTML Forms
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Form Validation
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ModelForms
-
-
3.4 Django Templates
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Understanding Django Template Engine
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Template Tags and Filters
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Template Inheritance
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Static Files Management (CSS, JS, Images)
-
-
3.5 Django Views
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Function-Based Views (FBVs)
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Class-Based Views (CBVs)
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URL Patterns and URL Conf
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Handling HTTP Requests and Responses
-
-
3.6 Django User Authentication and Authorization
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Django User Authentication System
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Login and Registration Forms
-
User Profiles and Permissions
-
Customizing User Authentication
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Access Control (Login Required, Permissions, Groups)
-
-
3.7 Django Middleware
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What is Middleware?
-
Custom Middleware
-
Using Built-in Middleware
-
Module 4: Advanced Django Concepts
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4.1 Django REST Framework (DRF)
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Introduction to Django REST Framework
-
Creating API Endpoints with DRF
-
Serializers and Views
-
Authentication and Permissions in APIs
-
API Documentation (Swagger, Redoc)
-
-
4.2 Django Signals
-
Introduction to Django Signals
-
Working with Pre/Post-Save Signals
-
Using Django’s Built-in Signals
-
-
4.3 Django Testing
-
Writing Unit Tests for Django Views, Models, and Forms
-
Using
TestCase
for DB Testing -
Testing API Endpoints with DRF
-
-
4.4 Django Caching
-
Caching Views and Templates
-
Cache Backends (Memcached, Redis)
-
Queryset Caching
-
-
4.5 Django Security
-
Protecting Against SQL Injection, XSS, CSRF
-
Password Hashing and Management
-
Secure Settings and Environment Variables
-
-
4.6 Deployment and Production Setup
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Deploying Django on Heroku, AWS, DigitalOcean, or any VPS
-
Setting up PostgreSQL, Nginx, Gunicorn, and other services
-
Continuous Deployment (CI/CD) with GitHub Actions or Jenkins
-
Production Security Settings
-
Module 5: Django Projects and Best Practices
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5.1 Building a Django Web Application
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Developing a fully-functional Django project (e.g., Blog, eCommerce, Social Media)
-
Implementing CRUD operations
-
Handling Media Files and File Uploads
-
Using Django REST API in the front-end with React/Vue (optional)
-
-
5.2 Django Best Practices
-
Code Structure and Modularization
-
Handling Static Assets
-
Best practices for managing Django settings (Environment Variables, Debugging)
-
-
5.3 Final Project and Certification Exam
-
Students will work on a real-world project as part of the assessment
-
The project will cover everything learned in the course
-
Submission, review, and certification exam
-
Tools and Libraries
-
Python: Anaconda, Virtualenv, pip
-
Django: Django Rest Framework (DRF), Celery for asynchronous tasks
-
Database: SQLite, PostgreSQL, MySQL
-
Version Control: Git, GitHub/GitLab
-
Deployment Tools: Docker, Heroku, AWS, Nginx, Gunicorn, CI/CD tools
Final Certification
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The course will culminate in a Final Project and an Exam that will test both theoretical and practical skills in Python and Django.
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