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Should you use Python to build websites? When can you use Python web development? Find the answers in our Python web development guide.
What makes Python suited for web development?
Advantages of developing web applications in Python
- Easy to learn: Python is the most popular language for first-time learners for a reason. The language relies on common expressions and whitespace, which allows you to write significantly less code compared to some other languages like Java or C++. Not only that, but it has a lower barrier of entry because it’s comparatively more similar to your everyday language so you can easily understand the code.
- Rich ecosystem and libraries: Python offers a vast range of library tools and packages, which allows you to access much pre-written code, streamlining your application development time.
- You have access to Numpy and Pandas for mathematical analysis, Pygal for charting, and SLQALchemy for composable queries. Python also offers amazing web frameworks like Django and Flask, which we’ll dive into later in the article.
- Fast prototyping: Because Python takes significantly less time to build your projects compared to other programming languages, your ideas come to life a lot faster, allowing you to gain feedback and iterate quickly. This quick development time makes Python especially great for startups who can hit the market sooner to gain a competitive edge.
- Wide-spread popularity: Python is one of the most popular languages in the world, with communities from all over the world. Because of how popular the language is, Python is continuously updated with new features and libraries, while also providing excellent documentation and community support. Especially for new developers, Python provides extensive support and framework for one to begin their developer journey.
Develop Web Applications in Python with Flask
Educative’s Python web dev course will help you pick up Flask with ease. This project-based web dev course will propel your career. Get started on Educative’s personalized learning platform with no extra downloads.Frontend Framework (optional) While it’s not required to learn a frontend framework like React to build a functional full-stack web application, it’s recommended. Not only does it help you create beautiful SPAs, but it’s also often a requirement to be hired as a frontend or full-stack developer.
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Congrats! You’re well on your way to becoming a proficient web developer with Python. You should have a good overview of how Python operates within web development and its uses. With this understanding, you have many directions you can pursue when learning Python.
NoIf you’re ready to start learning and get your hands dirty, we recommend Educative’s course Flask: Develop Web Applications in Python. This project-based course is a detailed guide to web application development using the increasingly popular Flask framework. .
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With the agile methodology, a frequent redesign is possible saving a lot of time and helps in easy customization.
With built-in widgets in Python, it is easy for developers to curate high-level websites.
Being the most popular PHP framework Python comes with several built-in resources with essentials like verifications and caching.
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The error created a negative mindset in the mind of users but with the Laravel Framework, this aspect is handled well.
With automatic testing tools in Python, the testing of the project is done with more accuracy.
Python follows MVC architecture pattern which adds up in the development..
Python being user-friendly is also the most developer-friendly to code as they are free to use the pre-written codes.
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What makes Python suited for web development? Advantages of developing web applications in Python
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Python Application Development
Python is one of the most widely used dynamic programming languages, supported by a rich set of libraries and frameworks that enable rapid development. But fast paced development often comes with its own baggage that could bring down the quality, performance, and extensibility of an application. This book will show you ways to handle such problems and write better Python applications. From the basics of simple command-line applications, develop your skills all the way to designing efficient and advanced Python apps. Guided by a light-hearted fantasy learning theme, overcome the real-world problems of complex Python development with practical solutions. Beginning with a focus on robustness, packaging, and releasing application code, you'll move on to focus on improving application lifetime by making code extensible, reusable, and readable. Get to grips with Python refactoring, design patterns and best practices. Techniques to identify the bottlenecks and improve performance are covered in a series of chapters devoted to performance, before closing with a look at developing Python GUIs.
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Machine learning is is the kind of programming which gives computers the capability to automatically learn from data without being explicitly programmed. This means in other words that these programs change their behaviour by learning from data. We will cover various aspects of machine learning in this tutorial. Of course, everything will be related to Python. So it is Machine Learning by using Python. It might well be that you came to this website when looking for an answer to the question: What is the best programming language for machine learning? Python is clearly one of the top players!
Python IoT App Development
The worldwide spendings on the Internet of Things (IoT) indicate that it is a new stage in the development of technologies that will completely change our lives and affect both the consumer and industrial segments. The advent of the IoT is driven by the development of wireless and sensor technologies and entails the emergence of completely new tasks, such as: To develop new communication standards in the IoT network To lower the cost of successful sensors integration To manage energy consumption, etc.
Python CMS Development
Ten Best Python-powered CMS'sPython is a powerful programming language with exceptional support for large variety of content management systems. Bigger percentage of web content applications runs on python capabilities with simple to use functions. Below are some of the CMS that have been built and powered by python each with unique benefits:
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