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Naresh IT offers comprehensive Python online training that equips learners with the essential skills to excel in the dynamic field of programming. Through expert-led instruction, interactive sessions, and hands-on projects, participants delve into Python's fundamentals, including syntax, data structures, object-oriented programming, and advanced topics such as web development, data analysis, and machine learning.
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PYTHON ONLINE TRAINING https://nareshit.com/python-online-training/
WHAT IS PYTHON Python is a high-level, interpreted, and general- purpose programming language. It was created by Guido van Rossum and first released in 1991. Python has gained widespread popularity due to its simplicity, readability, and versatility. It supports multiple programming paradigms, including procedural, object- oriented, and functional programming
PYTHON FEATURES Python is a versatile and powerful programming language with several features that contribute to its popularity and widespread use. Here are some key features of Python Readable and Expressive Syntax Dynamic Typing Interpreted Language Object-Oriented Programming (OOP
Extensive Standard Library Large and Active Community Cross-Platform Compatibility Dynamically Typed Versatility: Ease of Learning and Accessibility Community-Driven Development
HISTORY PYTHON Python's development started in the late 1980s. Guido van Rossum, a Dutch programmer, began working on the language in December 1989 at the Centrum Wiskunde & Informatica (CWI) in the Netherlands. He aimed to create a language that was easy to read and had a clear syntax. The first public release of Python, version 0.9.0, was released in February 1991. This version included features such as exception handling, functions, and modules. Python 1.0 was a significant milestone, featuring new capabilities like lambda, map, filter, and reduce. This release solidified Python's status as a viable programming language.
PYTHON APPLICATIONS Web Development Mobile App Development Game Development Scientific Computing Automation and Scripting Network Programming Database Applications Desktop GUI Applications Data Science and Machine Learning Database Applications
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