A Walk through Essential Use Cases of Python Language | SoftProdigy
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A Walk through Essential Use Cases of Python Language

A Walk through Essential Use Cases of Python Language

Python has gained widespread popularity and its phenomenal rise has even surpassed C, C+, Java, and JavaScript over the last few years. Python mobile development is the fastest growing system and is being used in virtually every industry and scientific field today, including:

  • Data Science
  • Machine Learning
  • Web Development
  • Computer Science Education
  • Computer Vision and Image Processing
  • Game Development
  • Medicine and Pharmacology
  • Biology and Bioinformatics
  • Neuroscience and Psychology
  • Astronomy
  • Other areas such as robotics, autonomous vehicles, business, meteorology, and graphical user interface (GUI) development

Why Use Python Web Development Services?

Technology giants such as Spotify, Instagram, and Google greatly rely on the open-source, easy-to-understand Python programming language for developing enterprise-level, robust, and responsive web applications. Not only does the language expedite the development process, but also arms the developers with a comprehensive set of extensions and superior frameworks such as Tornado, Django, and Flask. Integrating Python programming language also permits the programmers to connect to various API and SDK libraries, which heightens the appeal of the language and makes Python mobile development the most preferred system among programmers around the world.

Advantages of Python Web Development Services

  • Easy to Learn

Compared to any other programming language like C++ or Java, the design philosophy of Python – emphasizing general expressions and code readability with significant use of whitespace – makes it easy to understand, especially for beginners. Additionally, significantly less lines of code can get the job done more efficiently and quickly.

  • A Rich Ecosystem

Python has an extensive library that offers a wide range of packages and tools, such as SLQALchemy, Pygal, Pandas, etc. These packages and tools allow developers to access pre-defined code, ensuring fast and smooth application development.

  • Speedy Prototyping

In comparison to programming languages like C++ or Java, Python reduces the development time to a great extent, making it easier for developers to build prototypes quickly and gain feedback on their projects. This is especially helpful in case of big projects where small sections can be quickly built, approved, and queued.

Use Cases of Python

1. Data Science

Python programming language includes a variety of advanced tools and scientific packages for all facets of data science and scientific computing. It also includes APIs, simple syntax, and outstanding features to address statistics, scientific, and mathematical functions. It is, therefore, best suited for scientific computing and data science. 

2. Machine Learning

As end-consumers seek enhanced user experience, including improved search functionalities, better personalization, and smarter recommendations, Machine Learning (ML) – an AI (Artificial Intelligence) application – in recent times, is increasingly gaining prominence. These programs differ from customary software projects, especially in the overall technology infrastructure, the necessity for deep research, and the skills needed for AI-based projects. Machine Learning and Artificial Intelligence applications, therefore, require a high-class programming language, which is steady, yet agile, offering consistency and simplicity. Python programming language sees these projects through the development to implementation to maintenance phases, and is an excellent framework with vast libraries that provides everything that such applications require. 

3. FinTech

Finance industry is continually being revolutionized and disrupted by evolving technologies. Python, with its advanced, flexible frameworks, offers significant opportunities to the industry to cope with constant technology shifts. Python is a high calibre programming language that helps resolve challenges which plague the financial landscape today. It helps the industry adhere to strict regulations of compliance, analytics, and data volume. A rising number of financial institutions are now relying on Python programming language to build futuristic finance applications owing to the fact that it is open source, allows cross-platform development, and is convenient as well as high performing. 

The Use Cases of Python

4. Start-ups

The start-up environment has seen a drastic shift over the years. It is inherently different from corporations and big companies in terms of operation. Start-ups are innovative, young, and collaborative. They are also highly vulnerable, as most start-ups, in the initial stage, are not quite sure about whether the target audience will accept and appreciate their offerings. This is the prime reason why they require high scalability, quicker development of MVP (Minimum Viable Product), efficacious iterations, the scope of technology integration, and time-monitored development processes. Considering all these factors, experts believe that the Python programming language is ideal for technology-based or technology-driven start-ups. 

5. Game Development 

The gaming industry is coming up in a big way and is fast becoming one of the top revenue-generating markets. Gaming app development is now a prominent industry, and it has many applications of Python programming. Python has helped build some of the most amazing games available today. There are libraries which are widely used for interactive game development. Popular video games like Battlefield 2, Pirates of the Caribbean, among others use Python programming for a number of its functionalities and add-ons. With the advancement in the gaming industry, Python language has proven to be an exceptional choice by the developers for rapid prototyping of video games. Python allows game developers to build tree-based algorithms, which are useful in designing different levels in a game. Games require handling multiple requests at once, and Python is extremely adept at that.

6. Web Scraping

Web scraping of massive amounts of data is becoming useful for companies for extraction of valuable customer information and making smart decisions. This real-life application of Python includes scraping large amounts of websites and webpages to extract data for a particular purpose. It could be job listing, price comparison, detailed information and much more. Selenium, PythonRequest, MechanicalSoup are some tools which are used to build web scraping applications of Python programming. Python has simple code, so it doesn’t involve any complexity in writing software that can provide large amounts of data.

Python, as of January 2021, is the third most popular web programming language worldwide, according to the TIOBE Programming Community index, which monitors the popularity of programming languages.Technology giants such as Spotify, Google, Lyft, Reddit, Netflix, Instagram, and Bloomberg are already using Python. The vast array of use cases for the language has led to a heightened interest in it and is making it more and more mainstream.