Django is a high-level Python Web framework that work with large-scale data-driven web applications and encourages rapid development and clean, pragmatic design.
Web2Py is full-stack python web framework for building scalable, secure and portable web applications.
Framework in Python that work with flexible configuration and extension and provide scalable web application
Pyramid web framework to develop web application framework technology in Python. Rather than focusing on a single web framework, the Pyramid Project will develop a collection of related technologies.
Asterisk is an open source telephony switching & private branch exchange service for developing scalable & secure VOIP system
Zope is a Python-based framework for creating secure & scalable web applications.
Flask is lightweight Python web framework based on Werkzeug and Jinja 2 that provide secure web applications
Cloud computing platform for building & hosting applications in Google managed data centers, GAE support all the framework (Django, Web2py, Cherrypy & Pyramid) wirtten in Python, With the GAE you can bundle a framwork for building secure & scalable web applications in Google managed data centers
Data scraping is used to extract information from websites. Web scraping can be used for multiple purposes like online price comparison, weather data monitoring, web data integration etc.
There are many Python libraries for data scraping and each are for different purposes and motives. Some of the widely used python library are
Out of this, BeautifulSoup is the one with multiple features that can be used for various websites and business objectives.
Facepy is also used for data scraping. But facepy is specially used for scraping data from Facebook. Using facepy it becomes easy to interact with Facebook APIs. Using facepy, we can:-
Feedparser is a Python library. It is used to parse feeds in format likes Atom, RSS, and RDF. It is easy to use.
Features of Feedparser:-
Scrapy is a web crawling framework used to crawl websites and extract structured data from web pages.
The developers of Zealous System have created an effective python script for food receipe data parsing which helps to parse data in multiple formats like schema.org, icrodata, microformat and RDFa. It auto detects the format type and accordingly parses the snippets and generate content in Drupal.
Project was completed on time
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