Introductions and Applications of Python Programming
Python is a high-level programming language for general-purpose programming which is created by Guido van Rossum and first released in 1991, Python, as a programming language, designs philosophy that emphasizes code readability, notably using significant whitespace. Moreover, it provides constructs that enable clear programming on both small and large scales.
Python is an open-source, interpreted language that places an emphasis on highly readable code which is the general purpose programming language. As a competitive edge, Python has a large standard library loaded with pre-coded functions for every occasion—which allows programmers to do more with fewer lines of code.
In addition to that, the easy-to-learn code has earned the affection of many within the scientific community, where it can be used to process large datasets. Django, on the other hand, is a framework that excels at rapid prototyping and development, making it a favorite among startups like the Pinterest and Instagram.
Career Opportunities
On Angel List, Python is the 2nd most demanded skill and also the skill with the highest average salary offered.
With the rise of big data, Python developers are in demand as data scientists, especially since Python can be easily integrated into web applications to carry out tasks that require machine learning.
Applications for Python
Web and Internet DevelopmentPython offers many choices for web development:
- Advanced content management systems such as Plone and django CMS.
- Support for FTP, IMAP, and other Internet protocols.
- Easy-to-use socket interface.
- Requests, a powerful HTTP client library.
- BeautifulSoup, an HTML parser that can handle all sorts of oddball HTML.
- Feedparser for parsing RSS/Atom feeds.
- Paramiko, implementing the SSH2 protocol.
- Twisted Python, a framework for asynchronous network programming.
Python is widely used in scientific and numeric computing:
- SciPy is a collection of packages for mathematics, science, and engineering.
- Pandas is a data analysis and modeling library.
- IPython is a powerful interactive shell that features easy editing and recording of a work session, and supports visualizations and parallel computing.
- The Software Carpentry Course teaches basic skills for scientific computing, running bootcamps and providing open-access teaching materials.
Python is a superb language for teaching programming, both at the introductory level and in more advanced courses.
- Books such as How to Think Like a Computer Scientist, Python Programming: An Introduction to Computer Science, and Practical Programming.
- The Education Special Interest Group is a good place to discuss teaching issues.
The Tk GUI library is included with most binary distributions of Python.
Some toolkits that are usable on several platforms are available separately:
- Kivy, for writing multitouch applications.
- Microsoft Foundation Classes through the win32 extensions
Python is often used as a support language for software developers, for build control and management, testing, and in many other ways.
- SCons for build control.
- Buildbot and Apache Gump for automated continuous compilation and testing.
Python is also used to build ERP and e-commerce systems:
- Odoo is an all-in-one management software that offers a range of business applications that form a complete suite of enterprise management applications.
- Tryton is a three-tier high-level general purpose application platform.
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