10 Python Developer Skills you must know in 2024

10 Python Developer Skills you must know in 2024

13 Feb 2024
9 min read
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Python Developer Skills for Freshers 2024: An Overview

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. 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 software engineer or programmer with expertise in creating, managing, and refining applications utilizing the Python programming language is a Python developer. Python is a well-liked general-purpose, high-level programming language that is easy to learn and use. It is extensively utilized in many domains, including automation, scripting, artificial intelligence, machine learning, data science, and web development.

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:

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 analyzing 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 them with a new application, project, or workflow using the Python coding language. For this, you need to have a command of your integrating 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. 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 involving 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 during 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 controlling 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.

Tips to improve Python developer skills

Following are some suggestions to improve your Python programming skills

1. Practice coding

Do coding practice regularly. You can invest your time in building new projects and practice more advanced coding techniques as you complete each project. Try to explore unfamiliar coding practices and design patterns to build your development skills.

2. Learn new Python libraries

Explore different Python libraries than the commonly used ones. For example, if you often use libraries for data visualization, try learning those that specialize in data analysis. Try experimenting with different libraries for each of your projects.

3. Attend Python conferences

By attending Python conferences, you can learn different ideas and techniques for coding and observe new programming products. Various experts share their ideas at these conferences. You can have productive discussions with other Python developers and get advice about how to enhance your work. Learning about the latest research in your field and asking questions may improve your Python development skills.

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. You might explore online databases to find example codes from advanced Python developers. Consider establishing a peer code review system in your workplace where programmers collaborate to check each other's code for improvements.

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.

Read More: Top 50 Python Interview Questions and Answers

Python Developer Salary

Python Developer Skills


Hence, in the above article, we explored in quite detail the skills required for a Python developer to build their career in the AI-driven world. You need to just follow all the given information in an ordered fashion and improve every day.


Q1. How can i Improve my Python development skills?

1. Practice coding
2. Learn new Python libraries
3. Attend Python conferences
4. Take relevant courses
5. Review codes from other developers
6. Ask for feedback

Q2. What are the commonly used Python libraries a python developer must know?

  • TensorFlow
  • Requests
  • Matplotlib
  • Peewee

Q3. What is 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.

Q4. Is the knowledge of front end technologies necessary for a python developer?

Yes, it's advantageous and expected from a Python developer to know front-end technologies.

Q5. What are the responsibilities of a Python Developer?

  • Optimize data algorithms
  • Create websites
  • Resolve data analytics problems
  • Implement data protection
  • Secure websites
  • Write reusable, effective, and testable code
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About Author
Sakshi Dhameja (Author and Mentor)

She is passionate about different technologies like JavaScript, React, HTML, CSS, Node.js etc. and likes to share knowledge with the developer community. She holds strong learning skills in keeping herself updated with the changing technologies in her area as well as other technologies like Core Java, Python and Cloud.

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