The uses of Python language has rapidly increased in recent years. The reason is it’s used in popularly emerging fields such as Artificial Intelligence, Data Science, Web development, Software Development, etc.
In this particular content, we will take a closer look at the uses of Python. We will discuss how Python is being used in various application domains.
Uses of Python: A Guide for Beginners
- What is Python?
- Why we need Python?
- Features of Python
- Applications of Python
- Why Python Became So Popular?
What is Python?
Python is a programming language that includes dynamic typing. It is commonly used as a general-purpose language. This means Python is not bounded to a specific problem; it can be used to create a variety of different programs, such as –
- NETFLIX recommendation algorithms
- Software for self-driving cars
- Create websites
- Dropbox uses Python for backend services and desktop client apps.
- And many more
Why do we need Python?
We all know that a bulk of programming languages are available, and this becomes the usual first question of every beginner why must they use Python?
Although there is no accurate answer to this question, which programming language must be chosen depends on what you have to develop or your personal preference. But some primary factors define why people use Python for programming.
Python code majorly focuses on readability and software quality, which sets it apart from other coding tools. The Python code is readable even by a beginner who has not written the code. This quality makes Python code reusable and even maintainable. So Python deeply supports more advanced software reuse mechanisms.
As Python language is a dynamically typed language, the code size is typically one-third to one-fifth the size of equivalent Java code. So, the developers have to type less, resulting in less debugging, resulting in less maintenance. All this boosts the developer’s productivity.
Like Java, even Python is a platform-independent language that enables Python programs to run unchanged on any platform. With Python, the programmer can develop portable graphical user interfaces, database access programs, web-based applications, etc.
Python has a large collection of inbuilt libraries that support various application–level programming tasks– from test pattern matching to network scripting. We can always extend Python by building up the homegrown libraries and with the vast collection of third-party application support software. This third-party application support software offers tools for website construction, numeric programming, serial port access, game development, etc.
Components developed in Python can be easily integrated with other parts of the application. This allows Python to be used as a product customization and extension tool. Python can even easily integrate with the programs of another language like it can invoke C and C ++ libraries with Java and .Net components.
Features of Python
Python has built-in interfaces for every operating system, which allow developers to write portable, maintainable system administration tools and utilities. Thus, Python programs can search files, directory trees, launch other programs, and perform parallel processing. Thus, the Python system interfaces are designed to be portable.
Python programming language is also being used to program graphical user interfaces. The GUI designed using Python language can be run unchanged on any platform such as Windows, Linux, and Mac OS.
Standard Internet modules in Python allow it to be used for a variety of networking tasks. The web development framework packages for Python, such as Django, Turbo Gears, Pylons, Zope, Web2Py, and Web Ware, support Python in constructing full-featured and production-quality websites.
Python language can be extended by and embedded in C and C++, which helps it in scripting the behavior of other systems and components. Like on Windows, the Python language uses the framework to script Word and Excel.
Python has interfaces for almost all the commonly known relational databases system. Like, Sybase, Oracle, Informix, ODBC, MySQL, PostgreSQL, SQLite, and more. It also has portable database API because which the script was written to work for, say, Oracle, will work unchanged on the other database, say, ODBC.
A Python program can easily access the code written in C, C++. This enables the developer to prototype a system in Python first and then move the selected component to their native language, i.e. C or C++, for delivery.
Numeric and Scientific Programming
The numeric programming extensions for Python, such as NumPy, offer advanced tools like array objects, interfaces to standard mathematical libraries, etc. With these advanced tools, Python can replace the codes written in traditional languages such as FORTRAN and C++. These numeric routines also enable Python to be used in animation, 3D visualization, parallel processing, etc.
Applications or Uses of Python
- Data Analysis and Machine Learning
- Web Development
- Automation and Scripting
- Software Testing and Prototyping
Why Python Became So Popular?
Python has gained popularity each going year since it was developed.
- The Python language has a simple syntax that mimics the natural language, making it very easy to learn.
- The language is completely free to use and distribute.
- Python codes are portable and can be run unchanged on various platforms.
- Python is an object-oriented language that supports advanced notions such as polymorphism, operator overloading, and multiple inheritance.
- It is very easy to type a program in Python – simply type the program and run it. There is no intermediate step of compiling and linking steps like in C and C++.
As there are many uses of Python, it comes out to be a popular language with a wide support network. In fact, it has a diverse range of libraries that help in web and software development.