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Python web development involves a variety of technologies and frameworks that facilitate the creation of dynamic and interactive web applications. Some of the popular Python web development frameworks include Django, Flask, Pyramid, Bottle, and CherryPy. These frameworks provide developers with tools and pre-built components to streamline the development process.
Django is a full-stack web framework for Python that provides a lot of built-in functionality such as an Object-Relational Mapper (ORM), a templating engine, and an authentication system. Flask is a micro web framework that is lightweight and easy to use. It is well-suited for small to medium-sized web applications. Pyramid is a flexible and scalable web framework that is used for building complex web applications.
In addition to these frameworks, Python also has a wide range of libraries and tools that make web development easier. For example, the Requests library is used for making HTTP requests, while BeautifulSoup is used for parsing HTML and XML documents. Python also has robust support for data science and machine learning, which can be leveraged in web development to create intelligent web applications.
Overall, Python web development offers a flexible and powerful platform for creating web applications and websites. Its wide range of libraries and frameworks, combined with its simplicity and readability, make it an ideal choice for many web development projects.
1. Django
This is a high-level Python web framework that follows the Model-View-Controller (MVC) architectural pattern. It comes with many built-in features such as an ORM (Object-Relational Mapping), an admin interface, and many other useful libraries that make it easy to build complex web applications.
Flask is a lightweight web framework that is easy to learn and use. It is based on the WSGI toolkit and provides a flexible and modular design that allows developers to create web applications quickly and easily.
Pyramid is a general-purpose Python web framework that is well-suited for large and complex web applications. It follows a minimalist approach and allows developers to use the best tools for their specific needs.
Bottle is a micro-framework that is easy to learn and use. It is designed to be lightweight and does not have many dependencies. It is suitable for small web applications or prototyping.
Python web development can be used for a wide range of applications, including web scraping, data analysis, machine learning, and artificial intelligence. It can be used to create web applications for e-commerce, social networking, content management systems, and many other types of applications. The versatility of Python and its rich ecosystem of libraries and frameworks make it a popular choice for web development.
- Python Dash Web Application Connected to Live Database - MongoDB
- Web Data Dashboard with Plotly express and Flask Python and JavaScript
- Flask Course - Python Web Application Development
- Jupyter Notebook: How to use it to create a web application using Django and MongoDb
- Visual Studio Code: develop web application using MongoDb and Django
- Python Web Development Libraries - Quick Guide
- Python Web Framework — A Detailed List of Web Frameworks in Python
- 13 Project Ideas for Intermediate Python Developers
- Top 11 Python Frameworks for Web Development In 2023
- Github: Real Python - materials
- PyScript - GitHub
- Run Python Visualizations on the Web Using PyScript
- Run Python in Your HTML
- PyScript demos
- Pyscript Tutorial With Simple Code Examples
- How to Run Python Visualizations on a Web Browser using PyScript
- A First Look at PyScript: Python in the Web Browser
- How to Embed Interactive Python Visualizations on Your Website with Python and Matplotlib
- How to Easily Run Python Visualizations On a Web Browser with PyScript
- Python TurboGears: The Web Framework that scales with you
- The TurboGears Documentation
- Wikipedia: TurboGears
- Github: TurboGears
- Turbogears - Quick Guide
- web2py Web Framework
- web2py Examples
- Book: Complete Reference Manual, 6th Edition (pre-release). written by Massimo Di Pierro in English
- Wikipedia: web2py
- Github:web2py
- Lab 1: Hello World Program
- Lab 2: Pyscript With the src Attribute
- Lab 3: Working With Python Environment
- Lab 4: Interactive Embedded Shell
- Lab 5: Rendering Bokeh Plot With Pyscript
- Lab 6: Matplotlib
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