Python Language Skill UP
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Applications Of Python

Application: "Application is a Software or a programs (such as a word processor or a spreadsheet) that performs a particular task or set of tasks"
Or
"An application (more commonly known as an app) is software that bundles together certain features in a way that is accessible to a user."

You may have heard people talking about using a program, an application, or an app. To Understand Simply put, an application or app is a type of software that allows you to perform specific tasks. Applications for desktop or laptop computers are sometimes called desktop applications, while those for mobile devices are called mobile apps or applications.
When you open an application in any system like computer, laptop ,mobile etc.(which one has operating system eg. Windows, Linux , android etc.) it run it runs inside the operating system until you close it. Most of the time we open more than one application at the same time, which is known as multi-tasking.
Application most of times called App.
App is a common term for an application.
Most of the times apps that can be downloaded in for free. Many apps are also available for mobile devices and even some TVs.

Applications of Python

Python supports cross-platform operating systems which makes building applications with it all the more convenient.. It is the fastest-growing programming language and can develop any application Python is the most versatile language in the programming world, and it has applications in various domains.
1.Web and Internet Development:
Python is used for developing web applications. Python comes with a set of modules that allow you to communicate over the network sockets, both at a basic level and at a protocol level. Python lets you develop a web application without too much trouble. Many of today’s most successful tech companies are choosing python language for the back-end of their website. Python offers several choices for complex web development projects. HTML and JavaScript are the main languages used to build the front end of an application. But Python-based web frameworks like Django, Pyramid, and Flask are used to handle backend or server-side functionality of sites and services like Spotify, Reddit, and Mozilla. Giant platforms like Google and YouTube depend largely on Python for critical infrastructure. Pythons also supports many Internet protocols like HTML and XML, JSON, Email processing, FTP, and IMAP and CGI libraries so you can parse user input and produce top-quality formatted data output.
2. Operating Systems:
The robust standard library of Python makes it perfect for building entire operating systems. The object-oriented design of the language ensures large projects are easily managed. Python is compatible with most operating systems and can be easily used to build native applications for Windows and Mac computers.
3.Game Development:
Python is also used in game development. There are so many modules in python for game development e.g PyGame, PySoy, Panda3D etc. Python offers an numbers of tools and libraries for game development. Battlefield 2 – one of the most popular shooting games of the early 2000s, was developed with the use of Python. Python also offeres many 2D and 3D game development libraries that are PyGame, Pycap, Panda#D, Construct, PySoy, and PyOpenGL. Most of the popular games, including Sims 4, World of Tanks, Eve Online, Mount & Blade, Doki Doki Literature Club, and Disney’s Toontown Online are developed in Python
4.Scientific and Numeric Computing:
This is one of the widespread applications of Python programming. The Python offers numerous applications that help scientists and researchers in scientific and numeric computing.
Python has its place in the scientific community. E.g
• SciPy:- -A set of packages for mathematics, science, and engineering
• Pandas:- is a library used for data analysis and modelling.
• NumPy :- enables us to deal with complex numerical calculations.
• IPython:- is a strong interactive shell that provides hassle-free editing and recording of a work session and aid in visualizing and parallel computing.
• FreeCAD:-and Abaqus are real-life numerical and scientific applications built with Python
• IPython:– A powerful shell for easy editing and recording of work sessions. It also supports visualizations and parallel computing.
5.Artificial Intelligence and Machine Learning:
Machine Learning helps people to work more creatively and efficiently. Python provides a huge library for machine learning and artificial intelligence.Artificial Intelligence (AI) and Machine Learning are mostly about algorithms, code, and logic. Python is being used for developing AI and ML-powered solutions. The scope and power of Python, along with its stability and security, make it ideal for running AI and ML systems.
Statistically speaking that Python is the most popular language for Artificial intelligence and Machine Learning.

Some important libraries for the job are:
• Scikit-Learn – for building various machine learning models:
• SciPy – for scientific and technical computing:
• TensorFlow – for state-of-the-art neural networks:
• Keras – for artificial neural networks:
• Pandas – for data analysis and manipulation :
• NLTK- The Natural Language Toolkit, or more commonly NLTK, is a suite of libraries and programs for symbolic and statistical natural language processing for English .:
• PyTorch- PyTorch is a machine learning framework based on the Torch library, used for applications such as computer vision and natural language processing
6.Desktop GUI:
• Python Provides functional and excellent application software for Graphical User Interface ( GUI)
• Python language offers number of options for developers to build a fully functional GUI. The simple ,easy syntax and modular programming approach of the Python framework help create a super-fast and responsive GUI.
• Most binary distributions of Python ship with Tk, a standard GUI library. It lets you draft a user interface for an application.
• PyQt, wxWidgets, Python GTK+, and Kivy are Some applications of Python tools for GUI development .
• Standard applications like Dropbox and BitTorrent are primarily written in Python.
7.Business Applications:
Python programming helps us to develop effective ERP and e-commerce softwares now-a-days and is used for replacing Excel, which isn’t scalable for modern business needs.
Business applications are different from typical consumer software because they offer a set of specific features instead of a variety of features.
Python is perfect for delivering best-performance custom solutions for business applications as well as consumer applications.
Some Python Business Applications:
• Tryton – A three-tier, high-level, general-purpose application platform.
• Odoo – A management software with a range of business applications. With that, it’s an all-rounder and forms a complete suite of enterprise-management applications in-effect.
8.Software Development:
Software developers make use of Python as a support language. 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
• Roundup, Trac – for project management and bug-tracking.
• Buildbot, Apache Gump – for automated and continuous compilation and testing
• The roster of Integrated Development Environments.
9.Education:
Applications of Python programming in education has a huge scope as it is a great language to teach in schools or even learn on your own.
Python is incredibly easy to learn and use for beginners and newcomers in the industry. Thanks to its simplicity, brevity, and large community.
The language is the most accessible among all the programming languages available Due to its ease of learning and usage, Python codes can easily be written and executed much faster than other programming languages..
10.Text processing :
The term text processing refers to the theory and practice of automating the creation or manipulation of electronic text…
Python language can split, separate, summarize and report on any data, that means it can be used to process textual data for different requirements in data analysis. This text processing ability of python is used for Natural language processing (NLP).
Natural language processing (NLP) is a branch of artificial intelligence (AI) that enables computers to comprehend, generate, and manipulate human language. Natural language processing has the ability to interrogate the data with natural language text or voice. This is also called “language in.” Most consumers have probably interacted with NLP without realizing it. For instance, NLP is the core technology behind virtual assistants, such as the Oracle Digital Assistant (ODA), Siri, Cortana, or Alexa. When we ask questions of these virtual assistants, NLP is what enables them to not only understand the user’s request, but to also respond in natural language.
11.Audio and Video Applications:
Python language is very efficient to perform multiple tasks, so it can be used to create media applications such as cplay, timplayer etc.
Python provides many multimedia libraries :-
• Pyglet
• Gstreamer
12.Network Programming:
Python plays an essential role in network programming and it is simpler to write network programs in Python .The standard library of Python has full support for network protocols, encoding, and decoding of data and other networking concepts.
Python programming provides support for lower level networks services.
• Twisted Python – A framework for asynchronous network programming.
• An easy-to-use socket interface
Python language also has modules that provide higher-level accessibility for specific application network protocols, such as FTP, HTTP etc. and Twisted Python framework for asynchronous network programming in Python.
13.Data Visualization and Data Science:
Data Visualization is a techniques that involve the generation of graphical or pictorial representation of DATA,. That leads to understand the insight or features in a a given data set. This visualisation technique aims to identify the Patterns, Trends, Correlations, and Outliers of data sets. Python is one of the most popular languages used by data analysts and software developers alike for data visualization and data science tasks. It is used to automate tasks, predict outcomes, streaming processes, and offer many business intelligence insights.In IT industry, data scientist has a lot of jobs.
Python has few libraries for data visualization :-
• Matplotlib
• Seaborn
• Bokeh
• Plotly
• Pydot
15.Database Access:
The Python programming language has powerful features for database programming. Python supports various databases like SQLite, MySQL, Oracle, Sybase, PostgreSQL, etc.
With Python, you have:
• Custom and ODBC interfaces to MySQL, Oracle, PostgreSQL, MS SQL Server, and others. These are freely available for download.
• Object databases like Durus and ZODB
• Standard Database API
16.Games and 3D Graphics:
Python for game development provides support to 2D graphics along with 3D graphics, which makes it one of the most popular languages when it comes to programming games in general. It has many libraries and frameworks available that make game development easy.
PyGame, PyKyra are two frameworks for game development with Python. Apart from this, we also get a variety of 3D-rendering libraries.
17.Prototyping:
Prototyping In software development, a prototype is a rudimentary working model of a product or information system, usually built for demonstration purposes or as part of the development process.
Programming in Python is easy, versatile, simple when you compare it with other languages. It has easy and very simple syntax to understand and it offers accurate solutions for implementing all types of functionalities. This is the main reason why Python can be applied in prototyping stages of software development.
With many functionalities to offer, Python lets you develop a prototype of applications faster.

Apart from just we discussed, there are many more applications of python programming, are listed below :-
• Face and Object detection applications
• Robotics
• Scripting
• CAD applications
• Data Analysis
• ERP Solutions
• Machine Learning

Python

  • Home
  • History of Python
  • Applications of Python
  • Introduction To Python
    • What is Python.
    • Character Set
    • Tokens in Python
    • Python Execution Mode
    • Variable And Identifiers
    • Data Types in Python
    • Operators And Expressions
    • Constants in Python
    • Assignment Statement
    • Input / Output in Python
    • Simple 'Python' Scripts
    • Namespace in 'Python'
    • Assignments
  • Operators in Python
    • Arithmetic Operators
    • Assignment Operators
    • Shorthand Assignment Operators
    • Relational Operators
    • Logical Operators
    • Bitwise Operators
    • Special Operators
    • Assignments
  • Input Output in Python
    • Accept Input
    • Output Formating
  • Conditional Statement
    • Decision Making
    • if Statement
    • IF-ELSE STATEMENT
    • IF-ELSE LADDER
    • NESTED IF-ELSE
    • short hand IF-ELSE
    • Assignments
  • Loops
    • Introduction to Loops
    • While Loop
    • Nested While Loop
    • while loop assignments
    • for Loop
    • For loop examples
    • Nested for loop
    • Nested for loop examples
    • Infinite while Loops
    • Infinite for Loops
    • break,continue and else in Loops
    • Difference between for and while loop
    • for each loop
    • for each Assignments
  • List
    • List in Python
    • Access List elements
    • List functions
    • Iterate(loop)List
    • List comprehension
    • List Assignments
  • Tuple
    • Tuple in Python
    • Access tuple elements
    • tuple functions
    • Iterate(loop)tuple
    • Unpack Tuple
    • tuple comprehension
    • tuple Assignments
  • set
    • Set in Python
    • Access set elements
    • set Methods
    • Iterate(loop)set
    • Pack/Unpack Tuple
    • tuple comprehension
    • set Assignments
    • Set comprehension
  • Dictionary
    • Dictionary
    • Access dictionary Items
    • dictionary method
    • Iterate(loop)Dictionary
    • formating Dictionaries
    • Nested Dictionaries
    • dictionary comprehension
    • dictionary Assignments
  • Diff list tuple set dictionary
    • list vs tuple
    • list vs set
    • list vs dictionary
    • tuple vs set
    • tuple vs dictionary
    • dictionary vs set
  • Exception
    • Error vs Exception
    • Exception Handling
    • Types of Exception
    • User Defined Exception
    • Logging Exception
    • assignments
  • Functions
    • Introduction
    • Modular Programming
    • Type of functions
    • Inbuilt Function
    • Need For User-Defined Function
    • Elements Of User Defined Function
    • Function Argument
    • Nesting of Function
    • Recursion
    • Global Local and Non Local
    • Python Lambda Functions
    • Assignments
  • Python Module
    • introduction to module
    • Inbuilt Module in Python
    • User Defined Module in Python
    • Assignments
  • File Handling
    • Introduction to files
    • Create File
    • Read files
    • Write to File
    • Rename File
    • Copy File
    • Move file
    • List files in Directory
    • Binary files
    • Zipping and unzipping files
    • Assignments
  • Strings
    • Basics of Strings
    • String Special Operator
    • String Formatting operator
    • String methods
  • Regular Expressions
  • Python OOPS
    • Basics of Object Oriented
    • What are Classes and Objects?
    • Creating Class and Object
    • Diff object oriented and procedural oriented programming
    • difference between classes and object
    • Constructors
    • destructor
    • built class methods and attributes
    • class and instance variable
    • Inheritance in Python
    • Single Inheritance
    • Multiple Inheritance
    • Multilevel inheritance
    • Hierarchical Inheritance
    • Hybrid Inheritance
    • Abstraction
    • Method Overriding
    • Abstract Method
    • Interfaces in python
    • Abstract class vs interface
    • Public in python
    • Private in python
    • Protected in python
    • Overloading Vs Overriding
    • inheritance vs composition
    • Encapsulation
    • Polymorphism
    • inner classes
    • Opps Assignments
  • Mysql database in python
    • introduction
    • DBMS vs file
    • connecting to database
  • Mysql database Operation
    • Select
    • Operators
    • DDL
    • DML
    • subqueries
    • joins
    • Case study
  • Graphics
  • Iterator in python
  • Generator in python
  • decorator in python
  • Threads in Python
    • introduction
    • process and threads
    • concurrent programming and GIL
    • Uses of threads
    • creating Threads
    • Single tasking
    • multi tasking
    • thread synchronization
  • Frequently Asked Interview Questions (FAQ)
  • Case Studies
  • Multiple Choice Questions

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