Python has slithered through development in almost every field of technology. Web development is no different. Python is slowly ousting other languages like .NET and PHP from the game because Python web development offers a whole bunch of advantages as compared to other languages. This article is brought to you to let you weigh the positives and negatives of web development for Python.
Python has had a boost in affinity of developers towards it over other languages like C++, Java, or PHP in recent years but it first went in the oven in the late 80’s based on the languages ABC and Modula-3. It became open-source in its second version i.e. Python 2.0 and its ripples still dominate the existing technology and its advances in an extensive way. The copious usage of Python is quite evident from its longevity in the tech-sphere which infers its stability and reliability at the same time. Also, it is quite easy to learn, especially if you’re proficient in programming languages like C, Java or C++. Another reason that corroborates Python’s adoration among developers and enterprises is its compatibility for a variety of web projects from simple to complex.
Even after offering a plethora of advantages over other languages, some people still think Python web development as an alternative. Here are some of the reasons as to why web development using Python has a knack of winning developers and companies over its side:
Python lacks tangles
You must have heard a common saying among developers, “Python’s Pleasing.” Okay, maybe not. But it is, because of a simple syntax that makes coding simple and more pleasant. Python’s syntax is similar to the English language and so the learners don’t have to kill their time in getting habitual to the syntax. An easy syntax also ensures that the Python developer is able to deal with intricate systems and ensure that all the elements have a clear relationship with each other. This also gives the coder the power to build more functions with fewer lines of code as compared to other languages.
Python is readable
The thing that makes Python so easy is the readability of its codes. It also improves the communication between a team of developers working on a project and directly increases their productivity. Also with its extensive libraries at the developer’s disposal, it has a way of showcasing data and reports which are clear and easy to understand.
Python is open-source
An open-source platform has a lot of perks most important of which is its free and wide community. Python has a great and colossal community. This leads to the decrement in the room of improvement day by day. Best Python developers have made their contribution over many years and made what Python is today. The reflection of this great community of best Python developers can be seen in the splendid features of Python i.e robust, scalable, well designed, and easy to learn.
Having an open-source license also provides the developers with the choice of modifying and implementing Python in the way they want to. Accessible support on Python’s official website acts like icing on the cake for the developers.
Python in prototyping
The most important part of change is its ideation and it should be able to sell itself. Since Python web development lets you do more in fewer lines of code, and hence, it lets you build prototypes and ideas very quickly. This agility also ensures that the mile from prototype to final product gets more concise.
Python is flexible, compatible and interactive
Another advantage that web development using Python has is that it provides the companies with flexibility because of the existence of several robust Python implementations integrated with other programming languages such as CPython (C+Python), Jython (Java+Python), IronPython (designed for compatibility with .NET and C#), etc. This is why Python is sometimes referred to as “the glue language”.
Apart from this, Python web development comes with a compatibility such that you can easily embed it in web applications that use other programming languages.
Python has a glut of resources
With web development using Python you’ll be driving many muddles away because of a huge number of resources that constantly keep getting refreshed. This saves development time and costs by a huge margin as the developers don’t need to write basic codes. Python web development also has an arsenal full of packages and libraries available for developing scientific and numeric applications, as well as toolkits (e.g., VTK 3D and MayaVi), a separate imaging library, and many other tools.Also. the built-in unit-test framework acts as icing on the cake by confirming that the program is working the way it is intended to.
Python and Fintech hit it off
Another reason for Python web development being a hit is its demand in the established and budding fintech companies. There are many reasons as to why web development using Python is a great fit for fintech. The primary reason is its quickness. When all is said and done, having a product or web app that’s fast should come second to how quickly you can take your product to market. Also, the habit of getting things done in fewer lines of codes and hence lesser time slashes the development costs. Python web development also imparts greater collaboration to the projects as readable codes appeal to executives and employees that are even from a financial or academic background.
Apart from this, web development with Python comes with numerous financial, mathematical and fintech libraries that act as a godsend for fintech companies.
Python’s wide usage in ML and AI
Machine Learning and Artificial Intelligence are one of the areas in the tech-world that are creating a lot of buzz around. This buzz has generated a need for incorporating Artificial Intelligence and Machine Learning in the upcoming web application projects by the developers. Another reason for adopting web development using Python is that Python resonates with both Machine Learning and Artificial Intelligence due to some of its attributes.
Although, it can be said that Python web development is a little slower than some of the other languages, but its data handling capacity is undisputed when compared to other languages. This makes it the right language for Machine Learning projects. Scientific packages like Numpy, Scipy, and Matplotlib can be installed in a program running on Python and they help developers in Machine Learning projects by pointing fine paradigms out for them. Apart from this, the enhancements in data processing and scientific computing makes Python web development a perfect choice for Machine Learning web projects.
Python also has a few extensive libraries for Artificial Intelligence. It has an intuitive syntax, basic control flow, and data structures. The feature of interpretive run-time without other compiler languages adds to its perfection for Artificial Intelligence.
Asynchronous coding is a step to obliterate some disadvantages of the classical sequential programming techniques such as unwanted idle time because of requesting data from more than one servers. What asynchronous coding achieves is that it makes the next request process and skip the existing request. Best Python developers use asynchronous scripting as it’s easy to write and maintain asynchronous code using Python and lets web developers handle various situations and problems faster.
A plenitude of Frameworks soak all the tedious work
The flexibility in web development using Python is a great deal due to numerous frameworks and development environments lubricating the way to application development. Python web development frameworks help developers in skyrocketing their efficiency by eliminating the need to “reinvent the wheel” every time. We’ve lined up for you all the great choices for consideration. Best Python developers like to tweak their environments by experimenting with all the choices of Python web development frameworks that they have, to see what’s best for their efficiency.
Also Read: Future of DevOps
Best Python frameworks:
Django is the name that pops up at the first position in every list there exists of best Python frameworks. The reason behind this is that it tries to incorporate all the necessary features rather than providing them in separate libraries that the developer has to beat his head with.
Django stands out with resources like authentication, URL routing, template engine, object-relational mapper (ORM), and database schema migrations in its artillery. Django’s star feature ORM allows developers to map objects to databases. The code is used in multiple databases and hence Django makes data transfer through databases easy. These features add high scalability, fast and efficient development and versatility to Django’s reputation. Django is also compatible with a lot of databases such as Oracle SQL, PostgreSQL, MySQL, SQLite, etc. Best Python developers in the community believe Django to be the best choice for emerging technologies such as machine learning. Above reasons make Django the most praised framework in the list of best Python frameworks.
TurboGears is often referred to as the superposed Python web development framework because its believed to be weaved to bring the best elements of other Python web development frameworks together. It is open-source and can be used for full-stack web development using Python of data driven applications. It has numerous components such as Repoze, WebOb, and Genshi, and is based on the MVC architecture. It is one of the best Python frameworks in the market. Its user-friendly templating engine, concise code snippets and a flexible ORM earns it a place among the best Python frameworks.
Pyramid is an open-source Python web development framework and is among one of the best Python frameworks. It is based on the idea to do as much as possible without touching the muddles. Pyramid is also considered among the best Python frameworks due to its flexibility with multiple databases and several plugins that make Python web development easy. Pyramid also believes in keeping itself up-to-date with new technological improvements in Python web development. Some of the features that struck the Pyramid’s name in the list of best Python frameworks are flexible authentication and authorization, vivid data documentation, predicates, renderers, etc.
Web2Py is another open-source full-framework for web development using Python that boasts secure and fast development with high scalability as its advantages. It is one of the few “batteries included” frameworks which means that all the tools of the trade will be provided to you in a single package without a third-party dependencies. Web2Py has a high compatibility with numerous environments such as Windows, Mac, Linux/Unix, Google App Engine, Amazon EC2, and any web hosting that supports either Python 2.5–2.7 or Java+Python. If you use Web2Py as your framework in Python web development, then it means that your web application is now immune to problems like cross-site scripting, injection flaws, and malicious file execution. Its own web-based IDE is another one of the many reasons for Web2Py to boast, being in almost every best Python frameworks list ever.
Flask is another Python web development microframework available under the BSD license. A microframework is a framework that leaves only the components necessarily required by the developers to build the application at their disposal. Flask is based on the idea to have a robust application foundation and thereon customize it using other extensions and resources. Flask uses the Werkzeug WSGI toolkit and Jinja2 template. Flask allows the developer to plug into any ORM and hence is highly compatible. Flask’s lightweight and modular design earns it a place among the best Python frameworks.
Above were some of the reasons why you should consider choosing Python web development over others and they were obviously appealing. But this doesn’t mean that it doesn’t have any pitfalls of its own.
Some of the cons that you might need to overlook while adapting to web development using Python are:
High Memory Consumption
Python applications can get a little too extravagant when it comes to memory consumption. This happens because of the flexibility of the data-types. This makes Python a bad choice for memory-intensive tasks.
Lack of dependable Multiprocessor support
Multiprocessing is an abstraction that sets up another process, provides it to run code and a way to give the parent application to control execution. Although multiprocessing is supported by Python it isn’t as flexible and convenient to use as compared to other languages.
Database Access issues
Python web development is said to have limitations related to database access. As compared to technologies like JDBC and ODBC, the database access layer of Python web development looks to be a bit underdeveloped and obsolete. It can’t however be applied in the enterprises that need smooth interaction of complex legacy data.
Doesn’t stand out for Mobile App Development
Python is not a language that comes to one’s mind when they think of mobile application development. It is just that companies prefer native development for both Android and iOS or React native development because they have more perks and better environments when it comes to mobile application development. There are very few mobile applications that you’ll find written in Python such as Carbonelle.
Yes there are some issues with Python web development too but the pros outnumber the cons by a great margin. They are suitable for all classes of enterprises- be them huge tech titans like Amazon or dewy budding startups like TravelPerk. They also are the perfect fit for all kinds of developers i.e the newbies as well as developers experienced in other languages looking to make their resume stand out with ML/AI. So if you’re stuck in the dilemma of whether to shift or not to Python web development or just looking out options for your new web application idea, Python is the best way to go.