10 Python Developer Skills you must know in 2025

Python is one of the most popular programming languages. It is very beneficial for an enthusiastic technocrat in today's world to learn Python and get access to a wide range of opportunities. Enrolling in a Python for Data Scientists with AI course can significantly enhance your expertise and career prospects. In this Python tutorial, we'll explore the skills required for a Python developer to become relevant in today's advancing technology world.

Who is a Python Developer?

A Python developer is a software engineer or programmer skilled in building, maintaining, and optimizing applications using the Python programming language. Known for its simplicity and readability, Python is a popular high-level, general-purpose language. It’s widely used in areas like automation, scripting, AI, machine learning, data science, and web development. Strong Python developer skills are essential for handling real-world challenges across these domains and staying ahead in today’s tech-driven landscape.

What does a Python developer do?

A Python developer is responsible for writing and maintaining code that powers software applications using the Python language. They apply their Python developer skills to tasks like building web applications, automating processes, and working with data. Python developers use frameworks, libraries, and coding best practices to create scalable and efficient solutions. They are crucial in delivering software projects across various industries, from tech to finance.

What are Python developer skills?

Python developer skills are abilities and knowledge a developer needs to complete their tasks. They possess technical skills related to computer programming and personal skills that help them communicate their ideas and work in collaborative settings. By developing these skills, a Python developer might increase their productivity and encounter opportunities for career advancement.

As a Python developer, you might be involved in the following roles:

• Optimize data algorithms
• Create websites
• Resolve data analytics problems
• Implement data protection
• Secure websites
• Write reusable, effective, and testable code

Let's have a look at the top 10 skills required to become a Python Developer

1. Proficiency with Core Python

You must have a strong hold on the fundamental programming concepts of Python, like:

• File handling
• Variables in Python
• Data types in Python like numbers, strings, lists, dictionaries, sets, and tuples
• Python functions
• Decision-Making Statements in Python
• Exception handling in Python
• Generators
• Iterators
• Operators in Python
• Object-oriented programming in Python

2. Knowledge of web frameworks

Frameworks reduce the development time by automating the implementation of redundant tasks. They empower developers to focus solely on application logic instead of routine elements. Frameworks that are compatible with Python allow a developer to construct websites.

Three common Python web frameworks that developers often use are:

1. Django: A high-level Python Web Framework that encourages a good, clean, and pragmatic design. It is even the most sought-after for machine learning projects. Django has a vast user base, making it easy to debug and seek support from the community.
2. Flask: A micro web framework to build a simple website. It is much easier to learn than Django.
3. CherryPy: It is also a microweb framework that enables Python developers to use any type of technology for data access, templating, etc.

3. Analytical Skills

You should have good analysis skills, like a good understanding of algorithms to write clean and not redundant code, write optimized algorithms, visualize datasets effectively w.r.t to Data Science, and build good websites w.r.t web development.

4. Understanding front-end technologies

Sound knowledge of Front-end technologies like HTML, CSS, and JavaScript is also expected from a Python developer because sometimes they may have to agree with the front-end team to match the server side with the client side. Hence, it's advantageous to know how the front end works, what is plausible and what is not, and how the app is going to look.

5. Database knowledge

Python developers use different databases during development. Databases allow these professionals to store data in a reliable place. Two common databases that developers often use with Python are PostgreSQL and MySQL. It's helpful for a Python developer to have database familiarity to build applications that create, read, and update data.

6. Integration skills

As a Python developer, you will be integrating several databases or data sources into one system. You can take information from a company's existing databases and combine it with a new application, project, or workflow using the Python coding language. For this, you need to have a command of your integration skills.

7. Python Libraries

Python libraries are collections of preexisting code combinations that a developer can use to save time on creating their coding sequences. The following are some of the Python libraries that developers should use in their projects.

• TensorFlow- One of the best Python libraries devised for executing high-performance numerical and scientific calculations.
• Requests- Being an HTTP library, requests intend to make the task of designing and sending HTTP requests to your Python applications more comprehensible.
• Matplotlib- This visualization library in Python allows you to visualize your data in many different ways.
• Peewee- Peewee enables developers to operate with databases without getting involved in the complexities of a relational database management system. The library backs many popular databases, including MySQL, SQLite, CockroachDB, and PostgreSQL.

8. Object Relational Mapper

ORM is a class of libraries that expedite the shift of data from a relational database to Python objects. It creates a “virtual object database” that can be used from within any programming language. They are advantageous as they can reduce a considerable amount of time by granting them the flexibility to change to another relational database when needed. Using ORMs, Python developers can keep writing in Python code rather than using SQL to build and update data schemas.

9. Understand Multi-Process Architecture

When designing a web application, to separate the application’s internal working from users, Python developers require a development architecture. For this, we have in Python the Model View Template architecture and the Model View Controller architecture. A Python developer should possess a basic knowledge of how their code will work in release or deployment environments. After learning about its architecture, they can distinguish and resolve the problems in the core framework to obtain optimized and excellent results.

10. Version control

Skills in version control help a Python developer track the changes of a software project during its developmental phases. This helps a team find the origin of any adjustments to a code and determine whether it's an effective change. There are several version control tools that a Python developer may be familiar with to keep track of the changes they make to a programming project, such as Git and CVS.

Essential Skills You Need to Become a Python Developer

Python developer skills are needed by software developers, data scientists, and automation engineers. These skills are also valuable for roles in web development, machine learning, and DevOps. Many startups and large companies rely on Python for rapid development and data-driven solutions. These languages open up different career paths across technology, communication, design, and data-related fields.

1. Python Developer

A Python developer designs, writes, and maintains code for software applications using the Python programming language. They leverage Python’s versatility to work on web development, data analysis, machine learning, and automation projects.

• Average India base salary: ₹6,00,000 – ₹12,00,000 per year
• Companies that hire Python developers in India: Tata Consultancy Services (TCS), Infosys, and Accenture

2. Data scientist

Data scientists use Python for data cleaning, analysis, visualization, and building machine learning models. They turn raw data into actionable insights to support decision-making.

• Average India base salary: ₹8,00,000 – ₹20,00,000 per year
• Companies that hire Data scientists in India: Flipkart, Amazon, and Wipro

3. Research Analyst

A research analyst with Python skills performs data collection, trend analysis, and reporting by writing scripts and visualizations. Python helps them automate analysis and handle large datasets efficiently.

• Average India base salary: ₹4,00,000 – ₹8,00,000 per year
• Companies that hire Research Analysts: A research analyst in India: EY, KPMG, and McKinsey & Company

4. Software Engineer

• Average India base salary: ₹7,00,000 – ₹15,00,000 per year
• Companies that hire Software Engineers in India: Google, Microsoft, and Zoho

5. DevOps Engineer

DevOps engineers use Python to automate deployment, monitor infrastructure, and manage CI/CD pipelines. Python scripts help reduce manual efforts and improve efficiency

• Average India base salary: ₹6,00,000 – ₹14,00,000 per year
• Companies that hire DevOps Engineers in India: Cognizant, Wipro, and HCL Technologies

6. Python Automation Lead

Python automation leads develop tools and frameworks to automate repetitive tasks, testing workflows, and system operations. Python enables faster development and integration.

• Average India base salary: ₹10,00,000 – ₹20,00,000 per year
• Companies that hire Python Automation Leads in India: Infosys, Capgemini, and Accenture

7. Machine Learning Engineer

Machine learning engineers use Python libraries like TensorFlow and scikit-learn to build and deploy intelligent models. They work on predictive analytics, NLP, and recommendation systems

• Average India base salary: ₹10,00,000 – ₹25,00,000 per year
• Companies that hire Machine Learning Engineers in India: Samsung Research, NVIDIA, and Zebra Medical Vision

• Average India base salary: ₹8,00,000 – ₹18,00,000 per year
• Companies that hire full-stack developers in India: Paytm, Flipkart, Ola, Zomato, Byju’s

Tips to improve Python developer skills

The following are some suggestions to improve your Python programming skills

1. Practice coding

Do coding practice regularly to strengthen your programming foundation. Invest time in building real-world projects and applying advanced techniques as you progress. Exploring unfamiliar coding practices and design patterns can significantly boost your Python developer skills. The more you challenge yourself with diverse tasks, the more refined and versatile your Python developer skills become.

2. Learn new Python libraries

Explore different Python libraries beyond the commonly used ones to expand your toolkit. For instance, if you frequently use libraries for data visualization, try learning ones focused on data analysis or machine learning. Experimenting with a variety of libraries in your projects helps deepen your knowledge and sharpen your Python developer skills. This adaptability makes your Python developer skills more versatile and valuable across different domains.

3. Attend Python conferences

By attending Python conferences, you can discover new coding techniques and explore the latest programming tools. These events offer a chance to learn directly from industry experts and engage in meaningful discussions with fellow developers. Getting advice and insights from experienced professionals can help sharpen your Python developer skills. Staying updated with the latest research also plays a key role in enhancing your overall Python developer skills and staying competitive in the field.

4. Take relevant courses

Some courses you might take are data science fundamentals with Python, Python for cybersecurity, and statistics with Python. You will get good exposure to various problem-solving techniques in such courses.

We, at ScholarHat, also offer the following course to help you improve your Python development skills:

5. Review codes from other developers

Continue building your knowledge by reading coding examples from other Python developers. Exploring online databases is a great way to learn how advanced professionals apply their Python developer skills in real-world scenarios. You can also strengthen your own Python developer skills by setting up a peer code review system at work, where team members collaborate to improve and refine each other’s code.

6. Ask for feedback

Consider asking your manager or team members for feedback to identify the skills you want to improve. You might request general feedback on your performance or comments on a specific project. Use this feedback to find areas of your Python development expertise where you can gain new knowledge and improve your skills.

Summary

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