Learn Django From Scratch

In this course, we will cover the essential Python concepts that form the foundation for building robust Django applications. By the end of this course, you will have a solid grasp of Python's syntax, data structures, and programming paradigms, which will greatly enhance your ability to work with Django.

Course Contents

1. Variables & Data Types in Python

• Text Type
  • Understand strings and operations on text data.
• Numeric Type
  • Learn about integers, floating-point numbers, and arithmetic operations.
• Sequence Type
  • Explore lists, tuples, and their operations.
• Mapping Type
  • Study dictionaries and their use cases.
• Set Type
  • Discover sets and their properties.
• Boolean Type
  • Learn about boolean values and their use in logic.
• Binary Type
  • Understand bytes and bytearrays.
• None Type
  • Explore the None type and its role in Python.

2. Flow Control in Python

• Conditionals
  • Learn to make decisions in code using if, elif, and else.
• Loops
  • Master iteration with for and while loops.
• Loop Control
  • Control the flow of loops with break, continue, and pass.

3. Object-Oriented Programming (OOP) in Python

• Class
  • Understand how to define classes and create objects.
• Object
  • Learn about object instantiation and interaction.
• Polymorphism
  • Explore how objects of different classes can share the same interface.
• Encapsulation
  • Discover how to restrict access to certain parts of an object.
• Inheritance
  • Understand how classes can inherit properties and methods from other classes.
• Data Abstraction
  • Learn to hide complex implementation details and expose only the necessary parts.

4. Exception Handling

• Overview
  • Learn the importance of handling errors gracefully in Python.
• Common Exceptions
  • Understand common exceptions like ValueError, TypeError, and ZeroDivisionError.
• Try and Except Blocks
  • Master the use of try, except, else, and finally for robust error handling.

This course will provide you with the foundational Python knowledge needed to effectively develop Django applications. Each section includes practical examples and exercises to reinforce your learning and ensure that you are well-prepared for more advanced Django topics.

By the end of this course, you will be equipped with the essential Python skills necessary for building dynamic and efficient web applications using Django. Let's get started!

Introduction to Django

• What is Django?
  • Overview of Django as a high-level Python web framework.
  • Why Django? Benefits like scalability, security, and rapid development.
• Django vs Other Frameworks
  • Comparison with other popular frameworks like Flask, Ruby on Rails.

2. Setting Up the Development Environment

• Installing Python and Django
  • Step-by-step guide for setting up Python and Django on various operating systems.
• Setting Up a Virtual Environment
  • Importance of virtual environments.
  • Using venv or virtualenv to create and activate a virtual environment.
• Creating a Django Project
  • Using the django-admin startproject command.
  • Overview of the Django project structure.

3. Understanding Django’s Architecture

• Django's MVC/MVT Architecture
  • Explanation of Model-View-Controller (MVC) and how it translates to Django's Model-View-Template (MVT).
• URL Routing
  • How Django handles URLs and routing using urls.py.
• Views and Templates
  • How views work in Django.
  • Connecting views to templates to render HTML content.

4. Building Your First Django App

• Creating a Django App
  • Using python manage.py startapp to create a new app.
  • Explanation of the app structure.
• Creating Models
  • Introduction to Django models.
  • Defining models, fields, and relationships.
• Migrations
  • Understanding migrations.
  • Running and applying migrations using python manage.py migrate.

5. Working with the Django Admin

• Introduction to the Django Admin Interface
  • Setting up the admin user.
  • Customizing the admin interface.
• Registering Models in the Admin
  • Registering models to make them accessible in the admin panel.
• Managing Users and Permissions
  • How to manage users, groups, and permissions from the admin.

6. Handling Forms in Django

• Django Forms
  • Creating and handling forms using Django's form classes.
• Model Forms
  • Using ModelForm to create forms from models.
• Form Validation
  • Implementing form validation and handling errors.

7. Templates and Static Files

• Understanding Django Templates
  • Template syntax, template tags, and filters.
• Using Static Files
  • Managing static files like CSS, JavaScript, and images.
  • Configuring the STATICFILES_DIRS and using static tag in templates.

8. Working with Databases

• Database Configuration
  • Configuring Django to use different databases (SQLite, PostgreSQL, MySQL).
• Querying the Database
  • Using Django's ORM to query and manipulate data.
• Advanced Querying
  • Working with complex queries, joins, and aggregations.

9. Authentication and Authorization

• User Authentication
  • Implementing user login, logout, and registration.
• User Permissions and Groups
  • Using Django's built-in permissions system.
• Customizing Authentication
  • Creating custom user models and authentication backends.

10. Django Middleware

• Introduction to Middleware
  • What middleware is and how it works in Django.
• Built-in Middleware
  • Overview of common Django middleware like authentication, security, and session management.
• Creating Custom Middleware
  • How to create and use custom middleware.

11. Deploying Django Applications

• Preparing for Deployment
  • Best practices for preparing your Django app for production.
• Deploying to Popular Platforms
  • Step-by-step guides for deploying on Heroku, AWS, DigitalOcean, etc.
• Using Django with Web Servers
  • Configuring Django to work with web servers like Apache, Nginx, and using Gunicorn.

12. Advanced Topics and Best Practices

• Security in Django
  • Common security practices: CSRF protection, XSS prevention, and secure password storage.
• Optimizing Django Performance
  • Tips for optimizing database queries, caching, and using Django’s performance tools.
• Testing in Django
  • Writing and running tests using Django’s testing framework.
• Django Best Practices
  • Tips and practices for writing clean, maintainable, and scalable Django code.

13. Conclusion and Next Steps

• Recap of What You’ve Learned
• Resources for Further Learning
• Final Project: Building a Complete Django Web Application

Django Specifics: Master Advanced Features of Django

Course Description:

The Django Specifics course is designed to help developers dive deeper into Django's advanced and specialized features. Whether you're looking to customize the admin interface, integrate third-party services like payment gateways, or handle complex form validations, this course covers it all. Perfect for intermediate learners who already have a grasp on the basics and want to expand their Django toolkit.

What You Will Learn:

• Django Forms: Master form creation, validation, and customization.
• ModelAdmin: Learn how to tailor the Django Admin to your project's needs.
• Working with Images: Understand how to handle image uploads and file management.
• Integrating Payment Gateways: Step-by-step guide to integrating Esewa and other payment platforms into your Django app.
• And More: Explore additional specific features that enhance your Django projects.

Who Should Take This Course:

This course is perfect for developers who:

• Have completed a beginner course or are comfortable with the Django basics.
• Want to expand their knowledge by learning advanced Django features.
• Are looking to build real-world, production-level Django applications with specialized functionality.

Course Format:

The course is structured into multiple sections, each covering a specific Django feature. You'll find code examples, hands-on projects, and quizzes to test your understanding. Whether you’re working on forms, file handling, or integrating online payments, this course will guide you step by step.

Enroll now and take your Django skills to the next level!

This Course covers Payment integration in your Django app with different local and regional payment gateway providers like 

• Esewa 
• Visa 
• Stripe
• Paypal

Payment Integration is also an Integral part of Most django apps as Django is best utilized where we need a CMS. and goods and services providers need CMS more than anyone. 
This course will take you through how you can integrate payment gateways in your Django application.

API Basics: A Comprehensive Guide

APIs (Application Programming Interfaces) are the backbone of modern software development, enabling seamless communication between systems and applications. Whether you're building a simple web application or a large-scale distributed system, understanding APIs is a crucial skill for any developer. This guide is designed to provide you with a step-by-step understanding of API development, usage, and best practices, ensuring you are well-equipped to work with APIs in any project.

What You Will Learn

This section covers a wide range of topics, starting from the basics of APIs to advanced concepts like authentication, caching, and monitoring. Here's a breakdown of what you'll learn:

1. Introduction to APIs: Understand what APIs are, their types, and the principles of RESTful design that make APIs scalable and efficient.
2. HTTP Basics: Learn the core HTTP methods, status codes, headers, and parameters that power API communication.
3. REST API Fundamentals: Explore the building blocks of REST APIs, including endpoints, resources, CRUD operations, and statelessness.
4. Serialization: Discover how data is serialized and deserialized in APIs, and the role of different formats like JSON and XML.
5. Authentication & Authorization: Dive into securing APIs with methods like token-based authentication, OAuth2, and JWTs.
6. Rate Limiting and Throttling: Learn how to manage API traffic effectively to prevent abuse and ensure fair usage.
7. Pagination: Handle large datasets efficiently using pagination strategies like offset, cursor-based, and page-based methods.
8. Caching: Improve API performance with caching techniques and headers like ETag and Cache-Control.
9. Error Handling: Design consistent and meaningful error responses to improve the API consumer experience.
10. Versioning: Understand the importance of API versioning and learn strategies for implementing it effectively.
11. Rate Limiting and Load Balancing: Explore advanced concepts like load balancing techniques and API gateways to ensure high availability.
12. Security Best Practices: Learn to secure your APIs against common vulnerabilities and protect sensitive data.
13. Documentation: Understand the importance of clear API documentation and explore tools like Swagger and Postman.
14. Testing APIs: Master the art of testing APIs with tools and techniques for unit, integration, and performance testing.
15. Monitoring & Analytics: Monitor API performance, track usage analytics, and log requests for better insights and debugging.

Why This Guide Matters

In today's interconnected digital world, APIs are the driving force behind the functionality of websites, mobile apps, IoT devices, and more. By mastering API basics and beyond, you'll be able to:

• Build scalable and maintainable APIs for any application.
• Integrate seamlessly with third-party APIs to enhance your projects.
• Follow industry best practices to ensure security, performance, and reliability.

Who Is This Guide For?

This guide is tailored for:

• Beginners who are new to API development.
• Intermediate developers looking to strengthen their understanding of REST APIs.
• Advanced developers seeking a refresher or insights into API best practices.

Get Started

Embark on this journey to master APIs, starting with an introduction to the fundamental concepts. Each topic builds on the previous one, ensuring a smooth learning curve. By the end of this guide, you'll be equipped with the skills and knowledge to design, develop, and consume APIs effectively.

Master NumPy, the backbone of numerical computation for machine learning and AI! You'll master arrays, indexing, math operations, linear algebra, broadcasting, and optimization in this hands-on course. You'll implement real-world projects like KNN from scratch & PCA while implementing NumPy with Pandas, Scikit-learn, TensorFlow, and PyTorch.
What You'll Learn:

✅ NumPy basics & advanced operations
✅ Efficient data management & performance tuning
✅ NumPy-based practical ML projects

Most ideal for beginners, data scientists, and AI experts wishing to enhance their ML workflow.