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History of Python

History of Python

Guido Van Rossum

Python was developed by Guido Van Rossum at National Research Institute for Mathematics and Computer Science in Netherlands during 1985-1990. Python is derived from many other languages, including ABC, Modula-3, C, C++, Algol-68, SmallTalk, Unix shell and other scripting languages. Rossum was inspired from " Monty Python's Flying Circus", a BBC comedy series and he wanted the name of his new language to be short, unique and mysterious. Hence he named it Python. It was a general-purpose interpreted, interactive, object-oriented, and high-level programming language. Python source code is available under the GNU General Public License(GPL) and it is now maintained by a core development team at the National Research Institute.

More about Python

python is a widely used general-purpose, high-level programming language. This is an Open Source software and its source code is available with a license in which the Copyright holder provides the rights to study, change, and distribute the software to anyone and for any purpose. This can run on any hardware platform (PC, Mac, Sun Sparc, etc.) or software platform (Linux, MacOS, Unix, Windows, etc.). Its design philosophy emphasizes code readability, and its syntax allows programmers toexpress concepts in least lines of code than in languages like C++ or Java. Python supports multiple programming paradigms, including object-oriented, imperative and functional programming or procedural styles. It features a dynamic type system and automatic memory management and has a large and comprehensive standard library.

Python was conceived in the late 1980s and its implementation was started in December 1989 by Guido van Rossum at Centrum Wiskunde & Informatica which is a research center in Netherlands .The non-profit organization Python Software Foundation fosters development of the Python community and is responsible for various processes within the Python community, including developing the core Python distribution, managing intellectual rights, developer conferences including PyCon, and raising  funds. The softwares like YouTube, DropBox, Instagram, etc. are to name a few which is written in Python.

Python is used in many application domains. The Python Package Index lists thousands of third party modules for Python. Python's standard library and the community-contributed modules allow for endless possibilities. In Web and Internet development, Python offers many choices of Web development like Django and Pyramid for Frame work, Flask and Bottle for Micro frameworks and advanced content management systems such as Plone & Django CMS. In addition to this, Python's standard library supports many Internet Protocols such as HTML, XML, JSON, E-mail processing, FTP, IMAP etc. Python is in education presently from post secondary and Government is utilizing this for Administration, Homeland Security, Public Safety, Traffic Control, Urban Infrastructure etc. In Business Python is using in domains such as Consumer Goods Industry, Aviation, Medical, Industrial, Financial services, GIS & Mapping, Marine and Lighting. Python is used in areas of Customer Relationship Management (CRM), Content & Document Management, Energy Conservation, E-Commerce, Enterprise Resource Planning (ERP), Knowledge Management, Manufacturing, Product Development, Project Management, Quality Control, Six Sigma, Lean, Relational Online Analytical Processing (ROLAP), Risk Management, Simulation etc. In Network Programming, Python is used to control Firmware updates,bringing desktop applications to the Internet etc. In Software, Python plays a right role in Accessibility, Code Generation, Computer Graphics, Cross-platform Development, Data Mining, Documentation Development, E-mail, Embedded Systems, Functional Testing, Groupware, Legacy System Integration, Rapid Application Development, RSS aggregator, User Interface, Visual Effects etc.

Python is widely used in areas such as Biology, Geography, Language Processing, Astrology etc. Based on the application, many packages and libraries are developed in Python. SciPy is a collection of packages for Mathematics, Science, and Engineering. Pandas is a data analysis and modeling library. Python is a powerful interactive shell that features easy editing and recording of a work session, and supports visualizations and parallel computing.
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