How to Become a Python Developer: Top Skills to Learn

How to Become a Python Developer: Top Skills to Learn

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Rashmi
Rashmi Karan
Manager - Content
Updated on Oct 14, 2025 14:50 IST

Python is an easy-to-use, readable, and intuitive language. Over the last couple of years, Python has evolved from "the language for beginners" to a development language of choice. According to the TIOBE index, it is the most used language in the world. Why? Because it is very simple, very versatile, and very useful. Companies of all sizes use it, while developers swear by Python in building intuitive web applications. If these pointers have you hooked and you are keen to learn how to become a Python Developer, then you are at the right place. Go on!

How to Become a Python Developer

Eligibility to Become a Python Developer

Worth noting is that there is no specific educational qualification for becoming a Python Developer. Focus on some essential skills to start your career.

Criteria

Details

Minimum Qualification

No formal degree required

Preferred Degree

Who Can Learn Python

Anyone interested in learning Python

Core Skills Required

Python programming, data structures & algorithms, object-oriented programming, file handling, etc.

Experience Requirement

Not mandatory. Although internships, projects, and GitHub contributions can boost your profile

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Core Skills for Python Developers

As a Python programmer, you need specific skills, discussed below.

Python Fundamentals

Python is simple and easy to learn. Go for the basics first. 

Concept

Description

Variables and data types to classify items

Integers, tuples, strings, lists, floats, dictionaries, sets

Control structures

  • Composing if, elif, else statements 
  • Employing for and while loops

Functions and modular code

Defining reusable code blocks for organisational purposes

File handling

Reading and writing txt, csv, and json files

Error handling

Try, except, and finally blocks to handle errors, also known as exceptions

Object-Oriented Programming (OOP)

OOP principles keep your code neat and reusable. It further makes it easier to structure your projects professionally. Here are some essential concepts that you should learn:

Web Development with Python

Python provides robust frameworks to create websites and web applications. Some of those are listed below-

Framework 

Description

Django

Feature-rich Python framework with a full-featured toolkit. It is helpful for large, high-scalability web applications 

Flask

  • A lightweight framework. Flask is also considered a "microframework"
  • Useful in smaller projects or rapid prototypes
  • More flexible than Django

REST APIs

Web service interface design with Django REST Framework or FastAPI

Database management

Storing and retrieving data by using SQLAlchemy or Django ORM

Web security basics

Security against SQL injection and Cross-Site Request Forgery (CSRF)

FastAPI

High-performance API framework

Pyramid

Flexible, scalable web framework

CherryPy

Minimalistic web server framework

Web2Py

Full-stack web framework

Tornado

Asynchronous networking framework

SQLAlchemy

Python SQL toolkit and Object-Relational Mapping (ORM)

Data Science and Machine Learning

Python is the best programming language for data science and analytics domains. If you want to have a career with a specialisation in data science, AI, analytics, or research, it would be a great idea to learn the following:

Python library

Task

NumPy

Numerical computing

Pandas

Data manipulation & analysis

Matplotlib and Seaborn

Data visualization

Scikit-learn

Machine Learning Models & Algorithms

TensorFlow/PyTorch

Deep learning projects

SciPy

Scientific and technical computing

Plotly and Bokeh

Interactive data visualization

Keras

High-level deep learning API written in Python

5. Automation and Scripting

Python is widely used to automate repetitive tasks and boost efficiency. You can write scripts to:

  • Automatically rename or relocate files
  • Web scraping using tools like Beautiful Soup, Scrapy or Selenium
  • Interact with web services and APIs to retrieve or process information
  • Schedule system jobs or monitor logs

6. Version Control with Git

Using version control to track changes and facilitate collaboration with other developers isone of the best practices of using Python. Git is a distributed version control system that has achieved industry-standard status for source code management. To manage Python projects, learn to:

  • Create and manipulate repositories
  • Basic Committing, Branching and Merging 
  • Use GitHub, GitLab, Azure DevOps or Bitbucket for collaboration

7. Virtual Environments

Python projects normally use many libraries and different versions. In order to avoid conflicts between versions and to isolate our projects totally from other projects, a virtual environment is very useful. Learn to use:

  • venv
  • env
  • .venv
  • .env
  • pip or poetry

8. Soft Skills

Apart from technical stuff, you should also work on your business skills, also popularly called soft skills.

  • Communication skills
  • Logic building
  • Problem solving 
  • Adaptability
  • Teamwork & Collaboration
  • Time management 
  • Critical thinking
  • Willingness to learn
  • Project management
  • Empathy
  • Active listening
About the Author
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Rashmi Karan
Manager - Content

Name: Rashmi Karan

Education: M.Sc. Biotechnology

Expertise: IT & Software Entrance Exams

Rashmi Karan is a Postgraduate in Biotechnology with over 15 years of experience in content writing and editing. She speciali

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