Programming languages have been in the picture for ages, and they’re indeed considered the core component of today’s tech world. Lately, Python has gained popularity for its robust and abundant libraries, simple syntax, and portability. It enables developers to build a wide variety of amazing applications, GUIs, frameworks, utilities, and more.
Python is based on common expressions and whitespaces, which allows us to significantly reduce the quantity of code compared to the other object-oriented programming languages like Java, C++, etc. In a recent Stack Overflow survey, Python has made its way to the top, overtaking other popular programming languages.
As an object-oriented programming language, Python has a number of benefits over its counterparts. One of the fantastic features of Python is the fact that it requires a single person’s effort. Most programming languages are designed, developed, and implemented by large organizations utilizing lots of resources and professionals. And due to this, it is very hard to focus on copyrights and name any specific person involved in the overall effort. Python is an exception. Another benefit is that Python is open-source; it’s easy to obtain, install and deploy.
Python resembles the English language. Hence, it’s considered as easy-to-learn and straightforward, reaching a large community. Moreover, it is supported by most operating systems (such as Windows, Mac, Linux, Raspberry Pi, etc.) present in the industry today. Also, Python performs mathematics and handles many hassles of data management, which is crucial in most of today’s businesses. It can also be used for rapid prototyping or production-ready application development. So, needless to say, Python developers are in high demand as they can solve a wide variety of computing problems and create simple and robust solutions for online/offline use.
Popular Python Frameworks
Python frameworks are powerful tools that help developers develop richer and stable applications with ease. They reduce development time as they automatically implement redundant tasks. Overall, with Python, developers can utilize their time focusing significantly on application logic rather than a common element. Python frameworks are built to provide solutions to different problems under different developing environments and make tradeoffs to serve their targeted audiences better. Before choosing any framework, developers should focus on the application’s size, performance, longevity, and complexity. So, keeping these factors in mind, a broad range of frameworks is available in Python. Some are proven ideal with large ecosystems and communities, while others are more useful in niche use cases or specific development environments. Python frameworks are mainly divided into three types.
1. Full-Stack Framework
Full-stack frameworks are the best Python frameworks, known as multi-service frameworks, for fulfilling all kinds of application developing requirements. These frameworks are best suited for building larger, full-featured applications. Developers utilize these frameworks for form generators, validation, and template layouts. Full-stack frameworks include several built-in features, and they offer flexibility for building any web application. These frameworks help developers to write robust code by using the object-oriented pattern with the utmost ease. Overall, full-stack frameworks perform general operations required to run any web page. Examples for full-stack frameworks include Giotto, Django, Pylons, Pyramid, TurboGears, and CubicWeb.
2. Micro Framework
As the name implies, these frameworks are lightweight. Unlike full-stack frameworks, these frameworks do not offer any additional patterns and features. Generally, microframeworks are focused on providing a small core of functionality. While using these frameworks, developers need to make their own choices and manually add a lot of code and other functionalities. These frameworks allow developers to make use of any type of technology for data access and to create templates. Some of the microframeworks allow developers to work closer to the hardware, making it easier to learn the concept of web frameworks and prototyping. Bottle, CherryPy, Dash, Falcon, Flask, Picnic, Hug are some of the most commonly used microframeworks.
3. Asynchronous Framework
Asynchronous frameworks are gaining popularity lately as they can handle a large set of concurrent connections. These frameworks mainly focus on delivering high levels of performance. Normally, an asynchronous framework built for Python uses a library called Asyncio to run several processes simultaneously. Typically, asynchronous frameworks require more diligence programming type, and they have a more limited set of plugins. These frameworks are most suitable when you need to provide a specific service or functionality at a very high volume. Examples include AIOHTTP, Growler, Uvloop, Sanic, Tornado, among others.
Python is one of the most widely used and coveted object-oriented programming languages in the tech industry. To become a good Python developer, one needs to be competent in many skills. While looking for a Python Developer for your organization, make sure the prospective candidate has thorough knowledge in Core Python and understands its core aspects such as Iterators, Generatorts, Exception Handling, Data Types/Variables, File Handling concepts, Data Structures, and OOPs concept. In addition, the candidate should have sound knowledge of Web Frameworks. It is also good to have expertise in Object Relational Mappers (ORM tools). An ideal candidate may not have prowess with all these concepts, but even the basic understanding of these concepts and the willingness to learn more on the same and real-time work can change the scenario.
Additionally, make sure the prospective candidate has a good understanding of multi-process architecture. Overall, the right candidate should be a quick learner, a team player, and have the ability to adapt to new or different environments. He or she should be ready to pick up new skills fast and apply them to your work projects.
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Requirements - Hard skills
- Ability to communicate and coordinate with development teams to gather application requirements
- Hands-on experience with Django, Bottle, and other frameworks
- Proficient in Jinja 2, Mako, etc. and hands-on experience in server-side templating using the same
- Strong analytical skills and proficiency in writing effective and scalable code
- Ability to develop backend components in order to improve responsiveness and overall performance
- Expertise in integrating user-facing elements into applications using server-side logic
- Proficient in testing and debugging programs
- Ability to reprogram and improve the functionality of existing applications
- Expertise in evaluating and prioritizing client feature requests.
- Proficient in Implementing security and data protection solutions
- Experience in developing digital tools to monitor online data flow
- Experience with performance tuning and automation
- Proficient in ORM libraries
- Good understanding of threading limitations of Python
- Expertise in writing reusable codes
- Hands-on experience with code version control tools such as git, svn, etc.
- In-depth knowledge in Data Structures and Algorithms
- Familiarity with event-driven programming in Python
- Ability to think creatively and solve problems effectively
- Good understanding of query optimization
- Good understanding of API centric architecture - across web browser client platforms
- Basic understanding of user authentication and authorization between multiple systems/environment
- Knowledge in the creation of database schemas that represent and support business processes
- Ability to think logically
Python developers primarily write server-side web application logics, which include programming scripts, interfaces, and more. As a team, developers develop backend components, connect the application with the third-party web services, and support the front-end developers by integrating their work with the Python application. As a beginner, a Python developer is expected to understand the domain and work in a team.
However, at the mid/senior level, one needs to have many additional skills that are essential for being a strong team lead or mentor. Some of these skills include:
- Maintaining existing applications, troubleshooting to find potential issues, and ensuring they continue to function smoothly
- Collaborating with development and design teams to build websites or applications that suit the customer’s needs
- Supervising data across different databases and providing analysis to stakeholders
- Participating in code review to ensure that the code is in accordance with code review guidelines
- Identifying and proposing operation and system improvements
- Understanding internally developed software systems and providing internal and external training of the same
- Contributing to technical product documentation
- Planning software releases and following the release guidelines.
- Mentoring junior developers in order to improve their product understanding
- Coaching team members to meet internal coding best practices.
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