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Introduction and History of Python

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Introduction to Python

Aspect Description
Language Type Python is a versatile, object-oriented, high-level programming language that is known for its interactive and interpreted nature.
Learning Accessibility Python is celebrated for its approachable learning curve, making it a recommended choice for beginners entering the programming world.
Scripting Proficiency Python excels at scripting tasks due to its concise and clean syntax, making it a popular choice for automation and rapid development.
Programming Paradigms Python supports both structured and functional programming paradigms, offering flexibility in coding approaches.
Inherent Data Structures Python offers a rich array of built-in data structures, including lists, dictionaries, and sets, enhancing data manipulation capabilities.
Platform Portability Python’s high portability allows it to seamlessly run on various operating systems, including Windows, macOS, and Linux.
Extensibility Python’s extensibility through modules and libraries facilitates integration with other languages and expands its functionality.
Interpretation Python is an interpreted language, executing code line by line at runtime without the need for pre-compilation.
Database Interaction Python provides libraries for database interaction, making it a preferred choice for data-centric applications.
Web Development Python is widely adopted in web development, powering dynamic websites through frameworks like Django and Flask.
Application Versatility Python finds application in a wide spectrum of fields, from scientific computing and data analysis to automation and web development.
Comprehensive Library Python boasts an extensive standard library featuring modules for tasks like file handling, networking, and more.
String Manipulation Python offers robust support for string manipulation, including features such as regular expressions and Unicode handling.
Internet Protocols Python includes libraries for working with various internet protocols like HTTP, FTP, and SMTP.
Software Development Tools Python is equipped with tools for unit testing, logging, profiling, and parsing, contributing to software quality.
OS Interaction Python allows interaction with the underlying operating system, enabling system-level tasks and operations.
Industry Applications Python is widely embraced in industries such as web development, data science, artificial intelligence, automation, and more.
Strong Community Support Python boasts a thriving and active community, offering extensive documentation, tutorials, and forums for assistance.

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Unlike other programming languages,

  • Few lines of codes do the super job
  • There is no need for curly brackets but requires proper indentation.
  • Variable data type declaration is not required Python will handle it.
  • Python codes need not have classes, you can get the functionalities working just by declaring them in functions or methods. Create modules and import them to reuse the code.
  • It is used to support the limited form of multiple inheritances which is very easy to learn.
  • It supports most of the OOP concepts that other programming languages do.
  • It provides built-in functions that are easy to adapt and work.

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Features of Python

Python has the following Features

  • Object-Oriented
  • Free
  • Portable
  • Powerful
  • Scalable
  • Mixable
  • Easy to Use
  • Easy to Learn­
  • Stable
  • GUI Programming

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History Of Python

Let’s discuss the history of Python in detail:
Year Milestone
1989 Python’s development began by Guido van Rossum in December at the Centrum Wiskunde & Informatica (CWI) in the Netherlands.
1991 Python’s first public release, version 0.9.0, is made available, introducing features like exception handling and functions.
1994 Python 1.0 is released, featuring lambda, map, filter, and reduce functions, marking Python’s maturation as a language.
2000 Python 2.0 is released, introducing list comprehensions and garbage collection improvements, among other enhancements.
2008 Python 3.0 (also known as Python 3000 or Py3k) is released, with a focus on eliminating inconsistencies and modernizing the language.
2010 Python 2.7, the last version of Python 2.x series, is released, marking the transition from Python 2 to Python 3.
2015 Python 3.5 introduces the “async” and “await” keywords, enhancing support for asynchronous programming.
2017 Python 3.6 adds format string literals (“f-strings”) and dictionary enhancements, further improving the language.
2018 Python 3.7 introduces data classes and improvements in syntax and performance.
2019 Python 3.8 brings the “walrus operator” and enhancements to the standard library.
2020 Python 3.9 includes new syntax features and performance improvements.
2021 Python 3.10 is released with features like structural pattern matching and improved error messages.
Present Python remains one of the most popular programming languages, widely used in web development, data science, machine learning, and more.

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About the Author

Senior Consultant Analytics & Data Science

Presenting Sahil Mattoo, a Senior Consultant Analytics & Data Science at Eli Lilly and Company is an accomplished professional with 14 years of experience across data science, analytics, and technical leadership domains, demonstrates a remarkable ability to drive business insights. Sahil holds a Post Graduate Program in Business Analytics and Business Intelligence from Great Lakes Institute of Management.