10 Best Frameworks to Know for Every Professional Python Developer
One of the reasons why hire Python developers is one of the most expensive services in the IT industry is because Python shines over other programming languages. Large companies such as YouTube, Instagram, and Spotify favor this language due to its diversity and adaptability.
When Python was making debut in 1991, it was simply downplayed as a gap-filler or an automating solution to the boring stuff in coding. Lo and behold! This programming language has earned the title of a first-class citizen in contemporary software development, data analysis, and infrastructure management.
From being the back-room convenience language, Python is now a major player in web systems management, application development, and the driving force behind data science and machine intelligence.
The success of Python revolves around the increased productivity it brings along. For example, the absence of compilation step makes the edit-test-debug sequence incredibly fast. Debugging Python software code is exceptionally easy. A bad input or a bug doesn’t trigger a segmentation fault. Instead, once the interpreter detects an error, it prompts an exception. If the program overlooks the exception, a stack trace is printed by the interpreter
This amongst many others makes gives Python a solid and valid claim as one fastest growing programming language.
As a testament to this, a recent analysis by StackOverflow shows that Python is a force to reckon with worldwide. Even better, the growth rate of the language is consistently and rapidly accelerating with the main driver being machine learning and data science.
Python also throws a number of caveats along the way. Part of the problem is on how to work with TCP Sockets in Python. Yeah, you read that right!
For the regular reader, these are not your everyday wall sockets used for switching power on and off.
What Are Python Sockets and How Do They Work?
Simply put, Python sockets are endpoints for a two-way communication channel. They can convey a signal both within and between processes on the same network.
There are two types of sockets: “client” socket and a server socket. The first is a conversation endpoint of a network while the latter is a sort of switchboard operator. Sockets can be implemented over UDP, TCP, Unix domain sockets, and so on.
These endpoints simply work by listening for any incoming connection and accepting them. After accepting the connection, this particular channel is blocked until another incoming connection is detected where a new socket will be created and return with the client address.
This may sound complicated especially for a beginner Python programmer. With that said, all is not lost. A Python framework has some leeway’s that can make your work easier. They offer you a seamless structure for application development, automate common solutions implementation, and significantly reduce development time giving you time to focus on application logic rather than routine elements.
10 Best Python Frameworks
We have compiled a list of 10 most popular Python frameworks that you will find useful your journey to becoming a world-class Python backend developer.
Django framework emerges as the best Python framework as it encourages swift development and pragmatic design.
This open source framework uses SQLite, MySQL, or PostgreSQL relational databases as a back-end for either the core data or application data. Another unique selling point is the ORM that allows developers circumvent direct database interaction using SQL.
Developers will also appreciate the fact that they can use Django to develop web applications for their already existing relational databases. As an added bonus Django also accommodates auto-generation of Python models from the database courtesy of the tooling.
Although a drawback but not a deal breaker, using MongoDB makes renders Django’s auto-generated admin interface ineffective as it relies on the framework’s core data. However, there are third-party implemented support features that can help.
Second in command in terms of the most popular Python frameworks is Pyramid. This open source framework gives developers the freedom to implement various web application components seamlessly.
It combines the crème de la crème nuggets from the worlds of Python, Perl, and Ruby which provide a structured but equally flexible Python framework. It also happens to be one of the pioneers in leveraging the promising WSGI standard, allowing extensive flexibility and re-use.
Some of the striking features include:
- Single-file applications
- URL generation
- Extensible configuration
- Function decorators
- Renderers and so much more
TurboGears allows rapid development of extensible web applications. It features user-friendly templates and a potent ORM.
Being an open source framework, TurboGears can accommodate either a MongoDB or a relational database as a back-end. For relational databases interactions, there is Python ORM sqlalchemy, whereas MongoDB interactions as via Ming ODM.
Great features include:
- Model View Controller architecture
- Support for SQLAlchemy and SQLObject
- FormEncode validation
- Tosca Widgets
- PasteScript Templates
This is one of those “low hanging fruits” that every developer should take a keen interest in thanks to its simplicity and speed.
Web2py is an open source framework that can run Python compiled code hence reducing the running time which is great. Although it doesn’t support Python 3, it features a web-based Integrated Development Environment that comes in handy while editing a code, debugging and even one-click deployment.
Other important features include:
- Seamless installation and configuration.
- Multiple protocols readability.
- Support for internationalization
- Ability to run on multiple Operating Systems.
- Exceptional Database Abstraction Layer.
In comparison with other frameworks like Django, Flask emerges as a lightweight web framework. However, it’s one of the easiest frameworks to learn as it doesn’t have bootstrapping tools.
This simplicity leaves flask as an unopinionated framework that leaves you to decide how you want your things implemented.
That aside, you will appreciate the following features:
- Jinja2 templating
- WSGI 1.0 compliance
- Unit Testing Support
- Secure cookies support
- HTTP request handling
Sanic is a relatively new framework that operates on a very simple logic… speed. This wicked-fast asynchronous framework runs on Python 3.5 and up which gives developers non-blocking capability.
Sanic can also replace Flask in an existing app to make speed improvements.
This is one WSGI microframework for Python that is hard to ignore. Save for the Python Standard Library, Bottle has no other dependencies hence the reason why it’s disseminated as a single file module.
Great features include:
- Pythonic template engine
- HTTP-related metadata
- Supports multiple WSGI-capable HTTP servers
Falcon fits the bill of a micro-framework that works great for minimalistic applications, app backends or even high-level frameworks. It encourages strict adherence to the REST concept which is sort of a turnoff for developers looking to flaunt their API skills.
Nevertheless, it aids developers in indulging in design choices that would be impossible to attain with most conventional frameworks.
The main selling point of Tornado is the non-blocking I/O. This means it can be scaled to accommodate multiple open connections which make it ideal for projects with a continuous connection. Officially, Tornado is limited to supporting BSD OS and Linux. Microsoft Windows and Mac OS X can only be used for development use only.
Features to look out for:
- In-built user authentication.
- Translation and localization support.
- Timely services.
Cheerypy has been credited for consistently affording developers with ample time while building smaller source code in the fastest time possible. In fact, it’s one of the few frameworks that feature an embedded multi-threaded web server.
It can run on all Python supporting operating systems, doesn’t need Apache, and it is flexible in templating and data access technology.
Likable default features:
- Powerful configuration system.
- Flexible plugin system.
- Profiling, coverage, and testing support.
There you have it, 10 frameworks that will help you become an expert in the field
How Much of a Python Developer Salary Should I Pay
Talking about expertise, every company looking to build a product for the first time would prefer to hire an expert who doesn’t put a strain on their budget in terms of salary.
There are two major factors influence the Python programmer salary: Experience and location. Python developers in the US are the highest paid. According to Indeed, The average salary of a junior Python developer in the US is $75,000, while a senior developer takes more than $100,000 annually.
In Europe, a Python developer salary is as follows;
Quite often, hiring a Python developer or any other IT professional can turn out be a “fly in the ointment”. This is because hiring is time and resource intensive especially when you have no idea where to start.