Programming languages are useful tools when building any application website or software. There are myriad options when choosing a programming language but a few are the prominent ones. In the list of top programming languages, Python Developer skills are a must to become a Python developer.
However, to utilize the Python frameworks for web development, the developers must hold some skill set. Today, the article targets some Top 12 Python Developer Skills anybody must hold before jumping to build an app. So, let’s not waste time and read out the Python skills required for a developer.
What Are the Top 12 Python Developer Skills?
Python language is a highly utilized language and you can many Python developers. But, being a Python developer isn’t enough. You need to have the required skill set to make you distinguished from the other developers. So, here is a quick view of the skills needed to be a Python developer.
1. Expertise in Core Python
Before moving forward into a framework or a development environment, it is essential to initiate expertise in the core module of any programming language. The same clause applies to Python or any other programming language. You should target your senses towards grabbing a stronghold of a myriad of basic concepts such as:
- Variables & Data Types
- Data Structure
- Exception Handling
- File Handling
- Object-Oriented Programming
- and more
If you are contemplating where to be, Python Frameworks for Mobile Development environment can be a suitable option for you.
2. Python Framework
Python frameworks are an ultimate boon for developers. They are the best source for building pace for the development process by removing the need to worry about unnecessary stuff such as sockets, protocols, or threads. There are multiple Python frameworks you can choose from, such as Django, Flask, Web2Py, and Bottle, to name a few.
Such frameworks can independently leverage ease to the lives of Python developers, once the developer gets the hang of it. A Python framework can make you rapidly develop an application prototype, as a framework can imperatively save you from the hassle of typing repeated code.
3. Python Libraries
One of the adorable things about Python is that maintains the largest collections of libraries. According to the Python Package Index, Python has around 267 thousand projects. Thus, there is a very high chance that whatever you’ve been to, can be found as readily available for use, with sufficient documentation.
An intelligent Python developer should be skilled enough to detect, learn, and execute properly the packages offered by the Python ecosystem. It will be utilized almost every day. These libraries bundle up an extensive range of domains, such as Artificial Intelligence, Machine Learning, Data Science, and much more.
4. Front-End Technology
You might be under a great misconception that being a Python developer, you would be working with backend technologies only. A Python developer often has to proceed with front-end technologies to make sure that the client side matches the server side.
When it comes to a corporate environment, the entire process is driven by the UI/UX team, Project Managers, and SCRUM Masters for sustainable coordination of the workflow. Working on the front-end technologies gives you a precise picture of both the appearance and working of the application.
5. Machine Learning & AI
Industries like Machine Learning and Artificial Intelligence have been evolving lately. The reason behind the situation is the magnifying rate of innovation and a similar rate of execution of the technology in the industry. As ML and AI are both highly accepted and demanded technologies, Python developers should dig deeper into their foundational values and algorithms to get a precise understanding.
Data Science proficiency will also prove a curve while strategizing with projects dealing with large amounts of data. Once you upskill yourself to capture, analyze, visualize, and predict information from the data, you’ll find it smooth to draft a big picture to your stakeholders from your observations with any accompanying outliers.
6. Deep Learning
The next and another vital step after understanding artificial intelligence or AI and machine learning or ML in your development journey is deep learning. Most techniques offered in deep learning are the same as a human brain.
Once you find out what Deep Learning is, you begin to utilize your new-found skills to develop Deep Learning-powered systems such as:
- Recommendation Systems
- Natural Language Processing
- Image Recognition
- Automatic Speech Recognition
- Image Restoration
- and much more
Read Also: Top 12 Mobile App Development Tools You Must Check Out
7. Familiarity with ORM Libraries
ORMs or Object-Relational Mappers are crucially a class of libraries that accommodate the migration of data from a relational database to Python objects. Developers can utilize these libraries to target change the data stored in their databases by using Python code in the place of SQL. SQLAlchemy, Peewee ORM, Django ORM, PonyORM, and Tortoise ORM are just some of the many ORM libraries available for Python.
8. Version Control
Any software development, whether on Python or any programming language, runs through myriads of alterations and versions during its development phases. Version controlling can aid you in establishing track of even minute changes with complete traceability. This becomes highly crucial while working with collaborating with other developers on a project.
There are a few top version control tools such as Git, Mercurial, Apache Subversion, and others. Git is the most sought of them all. While learning version control, you will come around some popular terms like “commit”, “push”, “pull”, and “fork”, which are essentially what make version control possible.
9. Understanding of Multi-Process Architecture
While constructing a web app, a Python developer must decide on an app-building structure or framework to distinguish the internal process of the application from the users.
The current panel of developers can pick from using the Model View Controller structure or the Model View Template architecture. Although it is the duty of a Design Engineer, But, to be a Python developer, you also maintain a basic understanding of how your code will render in launch or deployment environments.
10. Communication Skills
After understanding the concept of deep learning, this knowledge can be used to build systems which deep learning uses, like natural language processing, recommendation systems, automatic speech recognition, image recognition, image restoration and more.
The most crucial tool in a personal or professional environment is excellent verbal communication skills. People with great communication skills can deliver messages effectively to the second party without any flaws or confusion.
11. Analytical Skills
Programming can be as tough as possible, But if you don’t have the well-versed analytical skills required for the job, it is a nightmare for you. It is not just applicable to Python, but any programming language should have a good grasp of analytical skills with extensive experience and a good understanding of the algorithms that drive things.
Among all skills, a good developer must be capable of writing precise, non-redundant, and extremely optimized code with the right logic. Once you start doing this, you should be able to see your analysis skills improve as it is increasingly becoming relevant and important in industries such as Data Science, where you’re constantly processing, analyzing, and visualizing data.
12. Design Skills
Let us make it more transparent that we are not recommending design skills here to the front-end design. By design skills, we mean designing highly scalable software or applications. Businesses today react to effectively design systems and solutions that can be used by everyone with as little downtime as possible.
To fulfil this scenario, you must be acquainted with the best development techniques and tools, for example, Django or Flask. Both of these frameworks can help build systems that can work efficiently on both the client side and the server side.
Hire Best Python Web Development Company
Share Your Requirements And Leverage Our Leading Python Web Development Services
Conclusion:
These were the top 12 Python developer skills everybody must know before becoming one. Your skill set defines your capability and earnings in the future. So, go through the skills given above once, before you commence your Python developer journey with any software development company.
FAQ’S
Q: What type of Python app development services do you offer?
We offer:
- Web Application Development
- Mobile Application Development
- Data Analysis and Visualization Services
- AI and ML Development
- API Development and Integration Services
- IoT (Internet of Things) Application Development
- Automation Scripting Services
- DevOps Services
Q: Can I hire Python developers from your company?
Yes, you can hire our Python app developers on an hourly, monthly, and project basis. Our engagement models are flexible. We can provide you with developers for full-stack development too. We also offer ongoing support and maintenance services for specific projects.
Q: Can you tell me more about your Python technology stack?
Our Python technology stack includes:
- Web Frameworks: Django, Flask
- Database: PostgreSQL, MySQL, MongoDB
- Frontend: HTML, CSS, JavaScript, React.js, Vue.js
- Machine Learning: Pandas, NumPy, sci-kit-learn
- Deployment and DevOps: Docker, Kubernetes, Jenkins
- APIs: Django REST Framework, Flask-RESTful
- Testing: Pytest, unites
Q: How can I choose the right tech stack for my project?
This would be based on your project needs and goals. Feel free to book a free consultation with one of our experts. Simply fill out our contact form and we will get back to you.
Q: Do you sign an NDA?
Yes, we do. We prioritize our client’s confidentiality at every stage of the development stage.
