Who is a Python Developer and How to Become One?

Python serves as an accessible programming language that enables beginners to explore career paths in various booming fields such as web development & designing, machine learning, and data analysis. 

But what stands as the definition of a Python developer?  What steps are required to acquire this profession?

The following article outlines the responsibilities of a Python career, along with essential skill sets and detailed steps to help you begin your career journey.

Who is a Python developer?

Python developers implement software and applications using the Python programming language across various industry domains, deploying solutions by writing, testing, and refining source code. As part of their role, Python developers write code while performing tests to identify bugs and system integration issues, which include supporting and working on both backend and frontend development.

How to Become a Python Developer: A Step-by-Step Guide

1. Learn the Fundamentals of Python Programming

Learning the basic elements of Python, including syntax rules as well as data types, along with loop and conditional control structures, serves as a solid foundation for a developer’s career. 

A solid grasp of these foundations provides essential knowledge needed to create strong Python code while achieving efficient problem solutions.

Users can begin their Python programming journey through Great Learning’s free Python programming course. 

The program caters to new learners who need guidance on primary Python principles through hands-on instruction. This program serves as an ideal starting point for individuals who need to understand Python through self-paced education.

The acquired core skills enable you to tackle sophisticated projects as well as advance your understanding of Python development.

2. Work on Real-World Projects

After mastering the basics of Python, you should move on to working with actual projects in the real world. 

Through this platform, practitioners can build their coding skills while solving issues within the process of developing projects to demonstrate their ability level. They can start their coding journey by creating simple tools, such as calculators and to-do lists, before tackling more advanced programming demands.

Real-world project work develops your coding skills and teaches you to handle actual problems, which defines the essential competency needed for Python developers. 

Real-world projects form an essential part of your job application process because they show employers your capabilities during both application screening and interview phases.

You can also check out these Python Projects to strengthen your skills through practical learning.

Step 3. Master Advanced Python Libraries and Frameworks

Your Python development skills require advanced libraries and frameworks that serve particular domains to reach professional competence. The following list of resources was carefully selected to help your learning progress:

Data Science & Machine Learning:

• Pandas – For data manipulation and analysis.
• NumPy – For numerical computing and handling large datasets.
• Matplotlib & Seaborn – For data visualization.
• Scikit-learn – For implementing machine learning algorithms.
• TensorFlow & PyTorch – For deep learning applications.

Free courses provided by Great Learning offer students training in these libraries and frameworks.

• Free Introduction to Pandas Course: The Introduction to Pandas training provides fundamental instruction about data analysis using Pandas through the Series and DataFrame structures.
• Free NumPy Tutorial Course: The introduction to NumPy discusses numerical computing fundamentals through array operations and mathematical functions knowledge.
• Free Data Visualization Using Python Course: This course teaches you how to create powerful visualizations using Matplotlib and Seaborn, presenting information effectively.
• Introduction to Scikit-learn Course: Studying Scikit-learn Basics provides students with an understanding of machine learning by training, evaluating, and deploying models.
• Introduction to TensorFlow Course: An exploration of deep learning begins with TensorFlow, as this framework provides an in-depth analysis of neural networks, along with model optimization capabilities.

Web Development:

• Django – A high-level Python web framework for rapid development.
• Flask – A lightweight WSGI web application framework.

Check out the main Difference Between Django & Flask to strengthen your understanding

Automation & Scripting:

• Selenium – For automating web browsers.
• BeautifulSoup – For web scraping purposes.

API Development:

• FastAPI – For building APIs with Python 3.6+ based on standard Python type hints.

Cloud Computing:

• Boto3 – The Amazon Web Services (AWS) SDK for Python.

Database Interaction:

• SQLAlchemy – An SQL toolkit and Object-Relational Mapping (ORM) library.

Your ability to handle complex projects will improve along with your Python development skills when you excel in these advanced libraries and frameworks.

Step 4. Build a Compelling Python Developer Portfolio

You need a robust professional portfolio to demonstrate your competence while competing against other developers in Python development. A portfolio designed for success should showcase both your technical skills and prove your problem-solving abilities and creative competence.

When building a successful portfolio, you must include: 

• Diverse Projects: An effective portfolio includes multiple projects to display the various skills of Python, including web development, data analysis, machine learning techniques, and automation methods. This diversity showcases your versatility and adaptability.​

• Real-World Applications: Focus on projects that resolve actual problems while creating simulations of real-life situations. Through implementing Python in real-world applications, you prove your ability to use Python knowledge effectively for practical challenges.

• Clean Code and Documentation: Your code must be organized and easy to read while retaining detailed documentation for proper understanding. By documenting your work properly, you enable others to understand both your intentions and how project features work.

• Version Control: Projects should be hosted through Version Control platforms such as GitHub. The platform enables version control functionality, which allows employers to view your programming work and observe how your development has evolved.

Ideas for Achievements to Strengthen Your Portfolio

• Web Scraper: Build a tool that facilitates pulling data from the World Wide Web with Python libraries such as BeautifulSoup and Requests.​
• Machine Learning Models: Develop predictive models using Scikit-learn and TensorFlow to address specific issues, such as understanding housing price features and image classification.
• Automation Scripts: Create scripts that automate repetitive work, such as data entry, to demonstrate your problem-solving capabilities.
• Web Applications: Use frameworks Django or Flask when creating web applications in order to showcase your competency with full-stack development.

Your carefully curated projects, accompanied by a proper presentation, will effectively showcase your capabilities to prospective employers regarding your preparedness as a Python developer.

Steps 5. Apply for Jobs and Keep Upskilling

After creating firm foundations and building projects while developing your portfolio, you should begin applying for available positions. Your job search should start with opportunities as an intern or through freelance or entry-level developer positions to gain experience.

How to Approach This Stage:

• Update your resume and GitHub page by featuring your Python knowledge and authentication certificates while integrating links to your GitHub profile and personal website presentation. Many employers want to see practical examples of skill application in their candidates.

• Revise your knowledge of algorithms along with Python interview questions, as well as data structures, to succeed in technical interviews. The educational website HackerRank offers coding problem practice opportunities to benefit your development.

• Professionalism demands that Python programmers stay informed about emerging industry properties. You should maintain an active knowledge of new libraries, as well as updates and engineering standards in your field.

• Continue your skills development by learning advanced concepts that combine AI with data engineering, along with Python cloud integration. Great Learning offers a range of free Python courses to enhance your expertise.

• Join Tech Communities through GitHub, Stack Overflow, and Reddit’s r/learnpython and LinkedIn groups to expand networking, obtain help with doubts, and access job openings.

Following complete steps alongside continuous learning will strengthen your position in the job market, along with granting access to multiple roles, including Python Developer, Data Analyst, Machine Learning Engineer, and Backend Developer.

Is Python Programming a demanding Field? 

The popularity of Python programming continues to grow rapidly because it has become a leading multi-industry skill requirement.

The ongoing demand for Python programming is expected to increase by 23% this year, and it is leading job markets across AI development and data science, as well as finance and healthcare sectors. 

The popularity of Python as a top programming language reaches nearly 80% among AI developers and 92% among data professionals, making it essential for careers focused on modern technologies due to its simplicity combined with robust features.

Python Developer Salaries in India (2025)

Key Insights:

• The pay scale for entry-level Python developers begins at ₹5,00,000 yearly, but people possessing both experience and specialized abilities can earn better compensation.​

• Major technology centers in Bangalore and Hyderabad present high-paying opportunities for Python developers, as these regions actively seek skilled professionals in this field.​

• An entry-level salary of around ₹5,00,000 per year is offered to Software Development Engineers who possess expertise in Python, due to their dual role in both programming and software engineering.​

For more insights, check out our blog on Python Developer Salary In India

Conclusion 

Devoting yourself to become a Python developer enables you to pursue opportunities within data science and AI as well as web development and automation fields. The growing market expansion of Python, along with its various practical use cases, produces substantial value for those aspiring to become tech professionals. 

Mastering basic concepts while developing practical projects and staying current with modern advances leads to career success in Python development. Begin your Python developer journey now, as the future looks exceptionally bright.