What skill sets do really good Python developers have?

In this article, we will learn the skill sets needed for becoming good python developers.

Solid Understanding of the Python Programming Language

Of course, a strong understanding of the language is required. However, putting this knowledge to the test might be difficult at times.

It's necessary to ask the appropriate questions while interviewing people if you want to be thorough. Ask about specific Python concepts like data structures, data types, exception handling, file handling, and generations, among others. If they don't hesitate when answering these questions, you can be confident that they practice what they preach.

CSS, HTML, and JavaScript

Although you might believe that learning front-end technologies are not required for Python developers, it is a huge advantage.

A Python developer frequently collaborates with front-end technologies to ensure that the client side matches the server side. Working with CSS, HTML, and JavaScript gives them a complete view of how a website or platform looks and functions.

Python Frameworks

The other skill to look for in your Python developers is whether or not they are familiar with Python frameworks. When a Python developer is familiar with all (or important) frameworks, you can be confident that they have a quick development process because they are no longer dealing with low-level issues like threads or sockets.

Object Relational Mapper

Object Relational Mappers (ORMs) are a class of libraries that allows data to be transferred from a relational database to Python objects.

An object-relational mapper is a technique that uses object-oriented programming languages to convert data between incompatible types. ORMs can generate a virtual object database for usage within the Python programming language (or any other language).

The most significant advantage of using an ORM library for developers is that it allows them to save time by allowing them to switch to another relational database as needed. Python developers can create and update data schemas in Python code rather than SQL by using ORMs.

Python Libraries

Python has numerous advantages, one of which is its vast library collection. Python contains about 267,000 projects, according to the Python Package Index. So, when developers decide to create something or are stuck in the middle of a project, they have all of these libraries at their disposal, along with the appropriate documentation and guidance.

When interviewing a Python developer, question the libraries they have used in the past or why they must utilize them. Most of them are excellent resources for developers interested in learning more about AI, machine learning, data science, and other hot areas. Furthermore, more common libraries help developers to remain flexible and build more complicated solutions more quickly.

Machine Learning and Artificial Intelligence

We live in a digital world, making it nearly difficult to avoid fields like Machine Learning (ML) and Artificial Intelligence (AI).

These technologies can also tremendously help web apps. Python can be used to work with data science, neural networks, data visualization, data analysis, and data collecting, providing a comprehensive overview of the information in your web application. Data scientists can then gather, interpret, and evaluate the information extracted from the data, gaining a clear picture of where the business application stands and even predicting client behavior.

When hiring a Python coder, having experience with AI or ML is a major bonus. You must ensure that they have a basic understanding of Machine Learning Algorithms as well as some of the Python modules available for implementing these solutions.

Multi-process Architecture

Python developers require a development architecture to separate the application's internal workings from users while creating a web application. There are simpler frameworks and architecture models available nowadays, such as the Model View Controller architecture or the Model View Template architecture.

A Python developer should understand how their code will work in release or deployment environments. They may find and solve core framework issues (if required) after knowing its architecture in order to produce optimum and excellent results. When interviewing regarding this issue, learn about their previous projects and how they are structured to obtain a solid understanding of your candidate's thoughts on software architecture.

Version Control

Have you ever sent a poor slack message? You click edit and send the message correctly in a matter of seconds. Version control functions similarly to developers.

The method of monitoring and managing changes to software code is known as version control (also known as source control). Version control systems are tools that aid developers in managing source code change over time. Web application developers can repeat their code and keep track of every single change that occurs.

If your Python developers utilize version control systems like Git, that means they maintain track of all code changes in a special database. If they make a mistake, they can simply compare the code to a prior version to rectify the problem. When interviewing, it's a good rule of thumb to see if they have an online code profile, such as GitHub. If not, ask about their processes for coping with code changes over time and how they recover from costly errors. A good version control setup is usually the solution to these problems.

What Does a Python Developer Do?

Python, unlike HTML, CSS, and JavaScript, is a general-purpose coding language. Aside from web development, it can be used for various forms of programming (for example, back-end development, software development, data science, etc.).

The Python design philosophy prioritizes code readability. Its language constructs and object-oriented approach enable developers to build readable code for both small and large-scale applications.

A Python developer is in charge of writing code, developing software, designing it, and integrating and debugging it, usually on the server-side logic.

However, the work of a Python developer evolves with their level of experience, thus it's critical to know what to expect from your developers.

Conclusion

In this article, we learned about the eight most critical skill sets that most good developers possess.