Python<\/strong><\/em> is perhaps the most versatile programming language that has applications in different domains. Thanks to its features such as high-level in-built data structures, dynamic typing, and binding, Python<\/strong> can be used for rapid application development. This open-source programming language is user-friendly and easily available, which makes it the top choice even in the field of data science ad machine learning.<\/p>\n

If you\u2019re planning to get enrolled in a Python course <\/strong>or online Python training<\/strong> program, knowing some real-world applications of Python <\/strong>would help you choose which specific field you want to focus on for your career. Here are the top three applications of Python:<\/strong><\/p>\n

1- Web and Internet Development<\/strong><\/h3>\n

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Using<\/em> Python<\/strong>, you can easily develop web applications rapidly. Python<\/strong> has a number of libraries for internet protocols like XML and HTML, e-mail processing, JSON, IMAP, FTP, etc. You can even use the following libraries for a range of functions:<\/p>\n

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• BeautifulSoup – for parsing XML and HTML\u00a0 documents<\/li>\n
• Requests – a client-side HTTP library<\/li>\n
• Paramiko – For executing the SSH2 protocol<\/li>\n
• Feedparser – for downloading and parsing Atom\/RSS feeds<\/li>\n
• Twisted Python<\/strong> – for asynchronous network programming<\/li>\n<\/ul>\n

  With widely used Python<\/strong> frameworks like Django, Pyramid, and Flask, you can enjoy unparalleled convenience, scalability, and security when working on web development compared to starting website development from scratch. With Python<\/strong>, you can also get microframeworks like Bottle and Flask. You can even write CGI scripts and get advanced CMSes (content management systems) such as Django and Plone CMS.<\/p>\n

  2- Machine Learning and Artificial Intelligence<\/strong><\/h3>\n

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  Those<\/em> eyeing a career in data science, machine learning (ML), and AI (Artificial Intelligence) often take up a Python certification <\/strong>program to fast-track their career. Apart from being extremely user-friendly and easy to earn, Python<\/strong> has multiple libraries that offer support for these domains. Some of these are:<\/p>\n

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  • TensorFlow – an end-to-end Python<\/strong> ML library for performing high-end numerical calculations.<\/li>\n
  • Scikit-learn \u2013 a well-known open-source Python<\/strong> ML library with a wide range of clustering, classification, and regression algorithms.<\/li>\n
  • Keras – a leading open-source Python<\/strong> library for building neural networks and machine learning projects.<\/li>\n
  • Theano – a renowned scientific computing library that lets you classify, optimize, and assess mathematical expressions that deal with multidimensional arrays.<\/li>\n
  • PyTorch – a production-ready Python<\/strong> ML library with outstanding applications, examples, and use cases supported by a robust community.<\/li>\n<\/ul>\n

    NumPy, Seaborn, and Python<\/strong> Pandas are some other libraries that you can use.<\/p>\n

    3- Game development<\/strong><\/h3>\n

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    Several<\/em> interactive games (like Disney\u2019s Toontown Online, Civilization-IV, Vega Strike, etc.) and 3D graphics have been developed using Python<\/strong>. Libraries such as PyGame (that provides functionality via computer graphics and sound libraries) and PySoy (a 3D game engine that supports Python<\/strong> 3) as well as frameworks for game development like PyGame and PyKyra make game development an easy and quick job.<\/p>\n

    Final words<\/strong><\/h3>\n

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    Education<\/em>, business (e-commerce and ERP systems), software development, desktop applications, and database access are some other domains where you\u2019ll find the use of Python<\/strong>. So, take your pick from these fields of Python<\/strong> applications when you enroll for a Python certification <\/strong>program.\u00a0 <\/strong><\/p>\n