Asynchronous Programming in Python

If you have been hearing the term ‘asynchronous programming’ a lot lately, you are well in the loop. Asynchronous programming has gained rapid popularity over the past few years. Asynchronous programming has existed since the very early days of computing, but with better hardware to handle multiple threads simultaneously, and ensure the smoother (and faster) working of an application, it is fast becoming a standard programming paradigm.

As opposed to synchronous programming which works in a linear fashion, tasks in asynchronous programming run parallelly, and sometimes even intersect each other, depending on whether it is a single-thread or multi-thread environment. In a single-thread environment, an asynchronous program can handle only one task at a time. The execution of a task can be suspended and then resumed alternating in time with any other task by the operating system. In a multi-threaded environment, an asynchronous program can handle a number of tasks at a time and the same task can be handled by multiple threads at different stages depending on the availability. This method is called concurrency.

 

Asynchronous code in Python relies on coroutines. Before Python 3.4 and 3.5 introduced asyncio and async/await in the library, asynchronous programs in Python had to depend on generator-based co-routines.

 

Asyncio is a concurrency module that facilitates managing of events, coroutines, tasks, threads, etc. Asyncio uses an async/await syntax and constructs such as:

– Event Loop: An event loop manages and distributes the execution of different tasks. It is responsible for input/output (I/O) and system events.

– Coroutines: Coroutines are special functions similar to Python generators, which are used for cooperative multitasking. Coroutines give up control to their callers to ensure that multiple applications can run at the same time.

– Tasks: Coroutines are wrapped in tasks, which schedule them concurrently.

– Futures: Futures represent the result of a task that may or may not be executed yet.

Let us consider an example which we will be doing in synchronous and asynchronous ways:

SYNCHRONOUS

ASYNCHRONOUS

Despite asynchronous programming not being as native to Python as it is to JavaScript, it still is gaining rapid popularity. One of the primary reasons for this is improved app performance, which leads to better user experience.

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Django Vs Laravel

Django vs Laravel is a battle of the biggies. Both the frameworks are extremely popular with the developers as they’re easy to learn and implement. From basic personal websites to enterprise web solutions, both Django and Laravel offer developers great options.

Introduction

Django and Laravel are both free, full-stack, and open-source frameworks. The difference being that Django is written in Python, while Laravel is written in PHP.

Released in 2005, Django is the older among the two and has matured and evolved significantly over the years.

 

Framework

Laravel follows the model-view-controller approach with object-oriented-programming (OOP). It makes the process of web development very easy. Common tasks such as authentication, routing, etc. are relatively easier in Laravel.

Django also uses MVC but with a slight difference – model remains model while view becomes template and controller becomes view. This is called the model-view-template approach. Django lets developers carry out more than one iterations at a time without having to start from scratch. This makes development quick and efficient. Django comes equipped with libraries, templates, and an API for connectivity and upgrades. Django also has a number of app plugins available.

 

Learning Curve

Laravel has a steep learning curve as it involves learning modern PHP development with database migrations, REST API, templating, eloquent ORM composer, etc. Even developers familiar with PHP coding get some time to grasp Laravel due to eloquent, artisan, composer and facade. Laravel is accompanied with thorough documentation and over a thousand tutorial videos in its tutorial library1.

For those not familiar with Python, Django is considered to have a steep learning curve. Although it is an easier framework to learn compared to Laravel as it is extremely developer-friendly. Django’s code-readability makes things easier especially for developers familiar with Python syntax.

 

Features

Laravel comes with a decent library; good enough to build a website with it. One of Laravel’s greatest USP is the ease with which routing can be done. Laravel being a new framework compared to Django follows modern design practices. Developers can build a REST API quickly and easily, and together with the object-relational mapper (ORM), it delivers high-level abstraction on relational databases instead of SQL2.

Django is a ‘batteries included’ framework that contains plenty of self-contained packages with reusable features. Although, the lack of a built-in API means that routing is a difficult and time-consuming task for Django developers. Unlike Laravel though, Django comes with a lot of built-in tools such as decorators, SEO tools, etc and its own cache system. Another advantage Django has over Laravel is the presence of a pre-built admin panel.

 

Performance

While Laravel’s templates and libraries help in building quick, small projects in relatively less turn around time, Laravel’s features such as static methods makes it a little sluggish.

Django is based on Python. Python being a high-performance language, the trait is also present in Django. Django components are lightweight and have serialization and validating systems which are used to translate between web page forms and database values3.

 

Security

PHP environments are known for their vulnerability. Laravel is prone to some breaches too.  In Laravel, developers need to follow and implement the standards while developing. Laravel uses hashed and salted passwords for security. Laravel Hash facade also provides BCrypt and Argon2 hashing to encrypt passwords. Additionally, security mechanisms against cross-site scripting (XSS) attacks, SQL injection vulnerability, intercepting private information, insecure cookies provide more security.

Django is based on Python which is a safe language and has inbuilt security standards. Moreover, its user authentication system helps to manage user data in a safe manner. Django takes security very seriously and also guards against common developer mistakes such as SQL injection, cross-site scripting, clickjacking, etc.

 

Community & Popularity

Released in 2005, Django is the older among the two and has wider community support. While both have an extensive and responsive support community of GitHub, the number of contributors for Django surpasses Laravel’s by a fair bit of number.

Django is popular among developers for websites that are expected to have high-traffic. Also, its safe environment means organizations like NASA prefer it over others. Django is by a distance the most popular framework in the United States and many European countries. Laravel, on the other hand, is preferred by developers to create aesthetic websites in the arts, entertainment, food, etc. domains.

Thanks to its robust and scalable nature Django powers some of the largest websites on the internet today viz. NASA, Firefox, Instagram, Pinterest, etc. Laravel is used to power relatively smaller sites like Toyota, UNION, etc.

 

Final Word

Our Django vs Laravel comparison aims to be a guide to developers looking to decide which framework to opt for their next project. The ultimate choice would depend on the requirement, scalability, expected traffic, complexity and of course the timeframe for project development. Ideally, developers should go through the full features and advantages, documentation, community support, etc. and make their final decision.

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At Telemerge IT Services, we also outsource remote software developers in Django and Laravel. We understand the difficulties companies face while hiring niche, expert talent for their projects within a budget, and we offer flexible outsourcing solutions to address these problems. Our extensive selection of pre-vetted candidates can start work on your project right away, while you can leave the organizational and administrative hassles to us.