With the increase in the use of technologies such as artificial intelligence, machine learning, and data science, the need for Python developers has grown exponentially. In this article, I’ll walk you through how to become a Python developer.
Over the past decade, Python has become very popular among the coding communities, and due to market demand, there is an increase in the number of Python developers. Python is popular among developers because it supports many IDEs, frameworks, APIs, and libraries for development in Artificial Intelligent systems.
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Even companies like Google also offer tutorials on Python and machine learning using Python. So this shows that the need for Python developers will never diminish in the years to come.
Who is a Python Developer?
A Python developer is someone who uses the Python programming language to create, deploy, implement, or debug a task, but there is still a lot in Python that we need to learn before we call ourselves a Python developer.
Here are some of the most important technical and soft skills you need to become a Python developer:
- The Fundamentals of Python
- Web Development
- Data Science
- Machine learning and Artificial Intelligence
The Fundamentals of Python
It doesn’t matter what position or field you want to associate with in the future. You must be an expert in the fundamentals of Python. Whether you are looking for a Python as a backend web developer or as a data scientist, you need to go through the basics of Python to become a Python developer.
If you miss the fundamentals of Python, you’ll find Python to be the most intimidating and complicated programming language to code with. Because this is just the basics of Python, the syntax of which is simple, as you go through the advanced concepts, we deal with libraries and frameworks and Python only acts as a tool at this level rather than as a programming language.
Python is very popular for its powerful web frameworks like Django and Flask. Django is the second most popular web development framework because it can be used for both front-end and back-end development.
So if you want to become a successful web developer using Python, start working on frameworks like Django and Flask after you are done with the basics of Python.
Data science is one of the main reasons people are looking at how to become a Python developer. As it is stated as the best work of this century. Python has been used extensively for data science and statistical modelling.
Using only the basics of Python, we cannot work on complex data science tasks, but luckily Python has a lot of open-source libraries. In Data Science we deal with a massive amount of data. Your skills as a Python developer is enough in this field; it is necessary to be familiar with advanced mathematical concepts such as statistics, applied mathematics, probability, algebra, etc.
Machine Learning and Artificial Intelligence
Machine learning and artificial intelligence are both a subset of data science. In data science, we don’t do a lot of machine learning because the work is limited to statistical modelling and exploratory data analysis. But when we delve deeper into data science, we reach artificial intelligence and machine learning.
To work on AI and ML technologies, you need to go a little deeper after Python basics, then you can just take this course. There are so many free courses available on the internet that you can learn from there as well. But one thing you need to understand is that you keep learning at this level. You need to keep exploring new upcoming technologies to keep up to date with all machine learning and artificial intelligence skills as a Python developer.
To become a Python developer, you just need to keep upgrading your Python skills over time and keep working on more Python projects depending on your field. Hope you liked this article on how to become a Python developer. Please feel free to ask your valuable questions in the comments section below.