Python is the most in-demand programming language used by developers today. If you are planning to pursue a career as a python developer, there are so many skills you need to work on. Python developers are in great demand because Python is used across a wide range of industry verticals today.
To become a good Python developer, there are many skills that you need to master. Here we have covered the top five Python developer skills that you will require to become a successful expert in that programming language.
Core Python Developer Expertises
As a developer, you must have a clear understanding of the Core Python concepts. Having an in-depth understanding of various terminologies and concepts will give you the confidence to take on any project irrespective of its complexity. Python concepts you must know about are:
- Iterators
- Generators
- Exception handling
- File handling concepts
- Data types and variables
- OOPs concepts
- Data structures
Web frameworks
Flask, as well as Django, are the most preferred Python web frameworks used today. As a developer, you need to have a strong grasp of these web frameworks. Flask is a widely used micro web framework. Whereas, Django is preferred because it offers a clean, advanced, functional design. Having a good understanding of CSS, JavaScript, as well as HTML is highly encouraged to be successful as a Python developer.
Object Relational Mappers
An object-oriented language is leveraged to convert data between two incompatible systems and this is known as Object Relational Mapper (ORM). Leveraging any programming language, a virtual object database is built by Object Relational Mappers. Developers can also utilise many ORM tools that can be tailored as per their requirements.
Data science Python Developer skills
A Python developer has a lot of potential in the field of data science as the programming language is widely used in this field. As a Python programmer working in the field of Data Science you will have a better understanding of the concepts if you have knowledge of:
- SQL
- Python packages like Scikit learn, NumPy, etc
- Data cleansing
- Data wrangling
- Analysis of data
- Visualisation of data
- Statistics
AI & ML skills
As a Python developer working in the data science domain, you will be required to have a good understanding of Artificial Intelligence and Machine Learning concepts. Proficiency in Machine Learning algorithms will prove useful in the long run. Having a good understanding of concepts such as data visualisation, neural networks, data analysis, etc., is highly valued by recruiters.