11 Skills you need to be a good Python Developer

Posted on  

May 14, 2022

Published by: Codemonk

Python has been on a positive trajectory to being the third most loved programming language in the past decade. This is because it gives good access to all programmers to make good use of its adaptable nature and its various benefits.

But simply having excellent app development programming languages and tools alone won't make you a good python developer. Instead, you will need more than merely Python understanding to become the top Python developer.

This post will look at the top 11 skills that can enhance a Python developer's efficiency and open new career paths for the cream of the crop.

Top skills you need to be a good Python Developer

According to Statista, 48.24% of developers use Python worldwide. However, the figures show that Python developers are in great demand. However, you'll need to master some skills before diving deep into Python. 

Here, we'll explore the top 11 skills you need to be a good Python developer.

1. Expertise in core Python

It is critical to learn the basics of any programming language before plunging into a framework or development environment. The same is true for Python! When learning Python, you must focus on developing a good understanding of its fundamental concepts, including the following:

  • Data structure
  • Exception handling
  • File handling
  • Object-oriented programming
  • Variables & data types

If you're unsure where to begin, the internet has the excellent and necessary information available at your disposal. If that's not enough, you can also refer to the Python reference volumes, which cover these subjects exhaustively.

2. Python Frameworks

Believe it or not, Python frameworks are a developer's dream come true. With Python, they speed up the development process by eliminating the need to worry about low-level components such as sockets, protocols, or threads.

Once mastered, frameworks like Django, Flask, Web2Py, and Bottle can significantly ease the life of a Python developer. Moreover, Python frameworks allow you to build an application prototype fast, as it essentially eliminates the need for repetitive input code.

Python frameworks also extend to web development, artificial intelligence, machine learning, and data science disciplines.

3. Python Libraries

One of the best features of Python is that it has one of the giant library sets available with about 370,523 projects. So, there is an excellent probability that anything you intend to build has already been developed and is readily available for usage, accompanied by adequate documentation.

A professional Python developer must be capable of discovering, learning, and effectively implementing Python ecosystem libraries. These libraries span various fields, including Artificial Intelligence, Machine Learning, and Data Science.  Python also has a dynamic and welcoming community where you can seek assistance from other developers worldwide.

4. Hands-on experience in web frameworks

The most common Python web frameworks are Flask and Django, and a developer should have a good grip on at least one of these frameworks. On the one hand, Flask is a trendy Python micro web framework; Django promotes a practical, clean, and helpful design style and a high-level Python Web Framework. On the other hand, working knowledge of JavaScript, CSS, and HTML is advantageous for developing into a skilled Python developer.

5. AI and Machine Learning

Python is the most popular language for machine learning and artificial intelligence. Moreover, both ML and AI are in great demand, and a Python developer should delve into their fundamental principles and techniques to learn them.

Once you've mastered your ability to obtain, analyze, visualize, and forecast data, you'll have no difficulty drawing a clear picture for your stakeholders using your observations and any accompanying outliers.

6. Data Science

Data Science is a veritable sea of opportunity. However, once you've taken a thorough dive into the subject, you should be familiar with specific prerequisites, beginning with high school mathematics: probability, statistics, etc.

A Python developer can advance rapidly in the subject of Data Science if they have a good grip on the most popular aspects of the field, such as:

  • Data analysis
  • Data cleaning
  • Data visualization
  • Data wrangling
  • Mathematical knowledge
  • Probability knowledge
  • Statistics knowledge
  • SQL knowledge
  • Understanding of Python packages

7. Deep Learning

Deep Learning is a subset of Machine Learning, and the learning methods and techniques are very comparable to those found in our minds. Once you've learned the concept of Deep Learning, you should be able to apply your newly acquired knowledge to the development of Deep Learning-powered systems such as:

  • Automatic speech recognition
  • Image recognition
  • Image restoration
  • Natural language processing
  • Recommendation systems, to name a few

8. Object Relational Mapper Libraries

Object-Relational Mappers are Python packages that simplify translating data from a relational database to Python objects. For example, developers can use these libraries to edit data directly in their databases without SQL. 

The advantages of ORM libraries typically result in significant development time savings while enabling easy migration to another relational database when necessary.

9. Understanding of Front-End Technology

A Python developer is frequently required to interact with front-end technologies to guarantee that the client-side code is consistent with the server-side code. It is typically conducted in collaboration with the UI/UX team, Project Managers, and SCRUM Masters to facilitate workflow synchronization in a corporate environment.

Working on the front end provides a clear image of the application's design and functionality. However, the lack of these obligations does not negate the need to improve your front-end development skills.

Working knowledge of a few front-end technologies, such as JavaScript, CSS, and HTML, will prove advantageous. While these skills and expertise are not required for every project, they are more than welcome as some, if not all, will require them.

10. Version Control

Several modifications and versions occur during any software project development period written in Python or other programming languages. Version control enables perfect traceability of even the slightest changes.

It becomes highly relevant while working on a project with other developers.

While learning version control, you'll come across terms like "commit," "push," "pull," and "fork," all of which refer to the fundamental concepts that enable version control. Bear in mind that this will be the second most frequently used tool after your IDE or code editor. Therefore we recommend paying particular attention while you develop this ability.

10. Analytical Skills

While programming is frequently a complex undertaking, it becomes a major headache if you lack the requisite analytical skills. Therefore, not just Python developers but any developer working with any programming language should have excellent analytical skills, significant experience, and a good grasp of the algorithms that power the system.

a) Communication Skills

Excellent communication is necessary for anyone working in a corporate or private environment, not just for Python developers. However, when speaking with others, a person with strong interpersonal skills leaves no voids or uncertainty and effectively conveys their message.

Because developers sometimes work in pairs with other programmers, effective communication becomes critical when working on a project or evaluating code to ensure everyone is on the same line. In addition, effective communication with your teammates can help you resolve several issues and propel your business forward.

b) Design Skills

When talking about design skills, we're referring to the ability to create highly scalable solutions. Businesses thrive on well-designed systems and solutions that require minimal downtime. To meet this condition, you must be familiar with the most effective development methodologies and tools, such as Django or Flask. These frameworks can aid in developing solutions that are both client and server-side effective.

c) Flexibility

The technology world develops at a breakneck pace. You will be left behind if you are not ready to adapt to the tools, technologies, programming languages, and frameworks you work with. So to sustain, you've to be flexible with your skills and learnings.


  1. What is Python?

Python is a popular, easy-to-use programming language that is widely used for:

  • data analysis
  • software development
  • web development, and
  • system scripting

  1. What are the benefits of learning Python?

Covering all the benefits of Python will need a separate article altogether. 

A few of them are:

  • It works on different platforms like Windows, Mac, Linux, etc.
  • Python has a simple syntax.
  • Prototyping with Python is quick.
  • Python requires less coding.

  1. Is it easy to learn Python?

Yes, it is easy to learn Python. There are plenty of resources available online to learn Python. However, you only need to consider harmonizing your input from resources with your output of language exercise.

  1. How to become a Python developer?

You can become a Python developer with these three easy steps:

  1. Get familiar with Python, and learn how to read and write it
  2. Develop your Python skills by working on projects
  3. Create a portfolio of Python-based projects

  1. How long does it take to become a Python developer?

An intermediate developer can learn the Python language's fundamentals in six to eight weeks. A bachelor's degree takes four years to complete, with potentially a year or two of professional experience in enterprise language or a similar field.

Want to become a good Python developer?

While anyone can learn to write code, your technique, the effectiveness of your code, and your familiarity with numerous modules and tools give you an advantage over the competitors.

This article discussed the top 11 skills a Python developer should possess. A skilled developer sets them apart from the competition. If you want to improve, there's no better time than now. These skills will help you grow as a Python developer and become one of the top-paid programmers.

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