Deploying Flask/Django Apps
Deploying a web application involves making it accessible to users over the internet. Flask and Django apps can be deployed on various platforms, including Heroku, AWS, DigitalOcean, and PythonAnywhere. This….
Category: Python
Jinja2 Templating in Flask
Jinja2 is the default templating engine used in Flask for rendering dynamic HTML content. It allows embedding Python-like expressions inside HTML, enabling developers to create dynamic and reusable templates. Jinja2….
Object-Relational Mapping (ORM) in Django
Django’s Object-Relational Mapping (ORM) provides a way to interact with databases using Python objects instead of raw SQL queries. ORM abstracts the database layer, making it easier to create, read,….
Authentication and Authorization in Django
Authentication and authorization are key components of web security. In Django: Django provides built-in authentication and authorization tools, which can be extended using Django REST Framework (DRF) for API authentication…..
REST APIs with Django REST Framework
Django REST Framework (DRF) is a powerful and flexible toolkit for building Web APIs with Django. It simplifies API development by providing serialization, authentication, permissions, and built-in views. In this….
REST APIs with Flask
Flask is a lightweight Python web framework that allows developers to build REST APIs with ease. By using Flask along with Flask extensions like Flask-RESTful and Flask-SQLAlchemy, we can create….
Django vs Flask: A Detailed Comparison
Django and Flask are two of the most popular web frameworks in Python. While both are used to build web applications, they differ in architecture, features, and use cases. Below….
Introduction to Django
Django is a high-level Python web framework that enables rapid development of secure and scalable web applications. It follows the Model-View-Template (MVT) architecture and is known for its “batteries-included” approach,….
Introduction to Flask
Flask is a lightweight and powerful web framework for Python that enables developers to build web applications quickly and efficiently. It is known for its simplicity, flexibility, and ease of….
Working with Large Datasets in Python
Handling large datasets efficiently is a crucial skill for data scientists and engineers. Large datasets often do not fit into memory, making traditional data manipulation techniques impractical. In this guide,….