Python Tutorial

Python is a programming language that allow users to work more fast.

It's an interpretive, an object-oriented and the high-level programing language. Python is a popular programming language. It was produced by Guido van Rosum, and released in 1991.

Python can be used on a server to Implement web applications. Python is dynamically typed and garbage collected. It supports several programming paradigms, including structured (specifically, procedural), object-oriented, and functional programming. Python is often described as a "battery involved" language due to its extensive standard library.


What is python programming

What is Python

Python includes the high-level data structures, dynamic binding, dynamic typing, and so more another features that make it useful for complex app development as it's for scripting or "glue code" which binds components together.

It can be used for other types of programming and software development in addition to web development.

Python is an easy to learn yet powerful and multilateral scripting languages, making it attractive for application developments. Python is not required to work in any particular area, such as web programming. That is why it is known as all-purpose programming language as it can be used with web, enterprise, 3D CAD, etc.

Python is much easier than other programming languages and helps you build beautiful applications with less effort and more ease.


What can Python do?

  • Python is often used on a server to build web applications.
  • Python can be used together software to create workflows.
  • Python can connect to database systems. It can also read and modify files.
  • Python is often used to handling big data and doing complex maths
  • Python is often used for rapid prototyping or production-ready software development.

Why to Learn Python

  • Python works on Diverse platforms such as Mac, Windows, Linux, etc..
  • Python features a simple syntax almost like the English language.
  • Python has its own syntax that permits developers to write their programs with short lines than another programming language.
  • Python runs on a dragoman system, which means that it can be executed as soon as the code is written. This means that prototyping can happen very quickly.
  • Python can be treated in an object-oriented manner, in the procedural manner, or in a functional way.

Python Popular Frameworks and Libraries

Python has a broad range of libraries and frameworks extensively used in diverse fields such as machine learning, artificial intelligence, web applications etc. We define some popular Python frameworks and libraries as follows.

  • Web development (Server-side) - Django Flask, Pyramid, CherryPy
  • GUIs based applications - Tk, PyGTK, PyQt, PyJs, etcetera.
  • Machine Learning - TensorFlow, PyTorch, Scikit-learn, Matplotlib, Scipy, etcetera.
  • Mathematics - Numpy, Pandas, etcetera.

Features Of Python

Python provides many helpful features that make it popular and valuable than another programming languages. Python supports object-oriented programming concept, procedural programming approach and offers dynamic memory allocation. We have listed some essential features below.

  1. Easy to Learn and Use
  2. Expressive Language
  3. Interpreted Language
  4. Cross-platform Language
  5. Free and Open Source
  6. Object-Oriented Language
  7. Extensible
  8. Large Standard Library
  9. GUI Programming Support
  10. Integrated
  11. Embeddable
  12. Dynamic Memory Allocation
  13. Open Source Language
  14. Wide Range of Libraries and Frameworks

There Are Some other Characteristics of python

  1. It also supports functional and structured programming methods in the form of OOP.
  2. Python can be used as the scripting language or compiled into byte-code to develop large applications.
  3. It provides very high level dynamic data types and supports dynamic type checking.
  4. It supports automatic garbage collection.

Applications of Python / Usage of Python

  1. Desktop Applications
  2. Web Applications
  3. Data Science
  4. Artificial Intelligence
  5. Machine Learning
  6. Scientific Computing
  7. Robotics
  8. Internet of Things (IoT)
  9. Gaming
  10. Mobile Apps
  11. Data Analysis and Preprocessing
  12. Rear end (or server-side) web and mobile app developments
  13. Desktop app and software development
  14. Processing big data and doing mathematical calculations
  15. Writing system scripts (creating instructions that tell the computer system to "do" something)

Python History

Python laid its foundation in the late 1980s. In February 1991, released code (labeled version 0.9.0) on alt sources.

Python 2.0 added new features such as list understanding, garbage collection systems. On 3 December 2008, Python 3.0 (also known as "Py3K") was released. It was designed to correct the fundamental flaw of language.

The following programming languages affect Python: ABC language. Module-3