How To Become A Python Developer - A Learning Path To Your Career In Python

In the world of software developers, Python has gained immense popularity not only in the field of web development but data science as well. A Python developer can work asa  Data Analyst, Data Engineer, Automation tester, etc. In this article, we will discuss the path structure, career approach, and skills to become a Python Developer.


Python is a high level general purpose programming language used widely in automation, scientific computing, and web development. Python being user friendly as well as easy for beginners, is used globally by application developers and computer scientists.

Why Python?

In today’s world, Python has become one of the first language preferences for new programmers. Why – because of its easy and short syntaxes and readability.

Python has very short syntaxes for everything, meaning the same programming done in Python uses way fewer lines of code than in other languages.

Since the language is easy, developers are free from using highly complex programs. Also, there is no declaration required for any variables, there’s implicit typecasting in Python.

Python being free and open source, its demand and popularity has increased over the years and is used by many gigantic companies such as Google, Facebook, YouTube, Netflix etc.

Who is a Python Developer?

A Python Developer is the one who creates, designs and deploys computer applications using the Python programming language. They are responsible for coding, building, designing, deploying and debugging projects basically on the server side. But these days, with the progress of data science and ML, python developers can also work on front end and help in bringing user interface features.

Python is a simple, in demand and versatile language which can help developers in catering tasks like,

  • Web Development
  • Data Analysis
  • Data Scientists
  • Machine Learning and AI
  • Automation
  • Scripting

How to become a Python Developer 

Whether you are a beginner or an experienced professional, you need to have your basics covered. One should have a structured approach to refine their skills. For example,

  • Keep yourself practically immersed and practice coding, developing programs on a consistent pace.
  • Be an active player when it comes to sharing codes or working in a team. Try to keep your goal as a learner every time on a particular task.
  • Attend seminars, webinars and be an active community member of programming. You can learn and teach while being active in a programming community. A new perspective on codes can give you new ideas.

To become a Python developer, it’s important to understand your goal and what to learn.

As discussed above, A Python Developer is not limited to web development but can also tackle other skills and tasks. We know that Python is a simple and easy language but still has its own elements, libraries, components etc. But before that, you need to have a proper knowledge of Python fundamentals such as,

  • Data types and Variables
  • Database
  • I/O operations and exception handling
  • Conditional statements
  • Data Structure and Algorithms

Once you have a solid foundation of python language, in order to get on the right path, you have to be efficient with,


Python has various frameworks used by several companies according to their preferences such as Django, Flask, and Web2Py etc. You can choose as per the most in demand or the one used by your employer. These frameworks allow a developer to have a smooth flow of development. It’s not necessary to learn all the frameworks but having knowledge will definitely work as a blessing!

  • Django
  • Flask
  • HTML and CSS (Front-End)
  • MVC-MVT Architecture
  • CherryPy
  • Web2Py


There are many open source libraries available for Python that anyone can access for their development purposes. There are specific libraries for different fields of work.

  • Common ones like NumPy and Pandas can be used for Data Handling.
  • Keras, Tensorflow are well known libraries used for Deep Learning, AI and ML programming.
  • Matplotlib library is used to create animated, interactive and amazing visualizations in Python.

Job Roles and Requirements

If you talk about being a Python developer, basic frameworks and knowledge of python fundamentals such as algorithms, statements, data structure etc. are needed. However, if you wish to explore other domains by using python, there may be few changes or add ons preferably. Some are listed below –

Data Science

  • Knowledge of Data visualization, Libraries like NumPy, Pandas, and Matplotlib.
  • Data Analysis and database knowledge.
  • Statistics and Mathematics

Depending on these, you can cater the roles like Data analyst, Data Engineer, Data Scientists.

AI and Machine Learning

  • Knowledge of ML Algorithms
  • Libraries such as Tensorflow and Keras
  • Statistical Analytics and Mathematics
  • Good with Problem Solving skills

These skills can help you round out your career as a Data Scientist, ML Engineer, and AI Engineer.

You can brush up your skills in Automation testing by testing and designing automation tests with Python Scripts. Use of Selenium Web Driver, IDE, and TestNG etc. can help.

For pursuing Deep learning and Reinforcement learning, you need to be efficient with Natural Language Processing (NLP) and Neural Network Architecture. Your knowledge of libraries like Tensorflow and Keras will also add on your skills to the way of Deep Learning Engineer.

Job Profile and Salary Growth

If you are a Python Developer working in the United States, the salary can vary between $87,551 and $104,693 depending on company, experience, location, education as well as the market structure.

In India, an average salary is ₹309,161 with experience of 1 – 4 years. Again, it may vary as per company, experience, location, education.

The average annual salary (10 - 19 years’ experience), for senior-level can go up to ₹1,000,000 per annum.

Data Scientist

The pay is quite high if we speak about the USA. An average yearly salary ranges between $100,560 - $120,000 depending on company, experience, location, education etc. For ex, Data Scientists in California, New York may earn more compared to other states.

In India, an average salary of a Data Scientist is said to be ₹698,413 per annum for 1-4 years of experience depending on company, experience, location, education.

As per an increase in your skills and experience it may go up to ₹1,700,000 per annum.

ML Engineer

An average salary in the USA is around $141,524 per year. Ranges between $76,000 to $154,000 as per company, experience, location, and education

In India, it depends on experience as well as companies but can go up to ₹23,00,000 per annum as per a network and hardware industries.

Usually it is the same as a Data Scientist and ranges between ₹500,000 - ₹671,548 based on experience i.e. 1-4 years. A mid-level can go up to ₹1,173,074 and as your experience increases, well it’s mentioned above!

Note – These salary analyses are completely as per market research and technology updates. We hold no rights as per the past or current scenarios.

Education Qualifications

To learn a Python course, you don’t need a degree. You can learn through tutorials, seminars, lectures etc. However, a degree isn't necessary but is always recommended.

To work as a Python Developer, one needs to have a Bachelor’s degree, preferably in IT, Computer Science etc. Good knowledge of Python fundamentals, at least 1 framework, front end technologies etc. is required. Related course certifications will be highly preferred.


Python is a boost in the upcoming techno world. The beginner-friendly, simple, easy, versatile nature will definitely help in upgrading its value and scale. So don’t hesitate and go ahead with choosing Python as your career option and drive yourself in this techno friendly world.

I will be happy to have your questions related to career aspirations below. What language or technology you would like to get a brief on, do let me know in the comments. Happy to help and Guide!

Similar Articles