The Blog

Python career opportunities

Career Opportunities in Python

Are you planning to build a career in Python? Are you wondering what are the career opportunities in Python? If yes, then you’re at the right place.

Python is a high-level, readable programming language, known for concise code and versatility in web development, AI, and data analysis. Its application expands over various industries including web development, app development, scripting, and testing. 

Because of Python’s ease of use, many companies like Google, Instagram, Spotify,  Dropbox, and NASA have adopted it. Here’s an illustration:


python code



As more companies are integrating Python into their operations, the need for skilled Python developers has escalated, offering a gateway to abundant career opportunities in this thriving ecosystem.

Let’s get started to find out career opportunities in Python, and how you can excel in them.

As more companies are integrating Python into their operations, the need for skilled Python developers has escalated, offering a gateway to abundant career opportunities in this thriving ecosystem.

Let’s get started to find out career opportunities in Python, and how you can excel in them. 

How to Get Started with a Python Career?

1. Learn the Basics of Python

To embark on a fulfilling journey in the realm of Python careers, it’s crucial to build a strong foundation.

  1. Learn syntax and variables:
    Start by grasping Python’s syntax, variables, and data types. Acquiring these basics will pave the way for more complex concepts.
  2. Problem Solving:
    Python’s versatility shines through its problem-solving capabilities. Master control structures, functions, and error handling to solve real-world challenges effectively
  3. Hands-on Projects:
    Engage in hands-on projects, like web development using frameworks such as Django or Flask. This practical experience enhances your skills and showcases your potential to future employers.
  4. Collaborative Coding:
    Familiarize yourself with version control systems like Git and collaborate on open-source projects. This experience demonstrates your teamwork and coding prowess to prospective employers.
  5. Data Handling:
    Learn libraries like NumPy, Pandas, and Matplotlib to dive into data science and analytics roles.

2. Build your Portfolio with Python Projects

Creating a portfolio tells your employer that you have the practical skills and problem-solving abilities that they are looking for in a Python developer. 

Here’s a list of ideas you can implement when creating a Python portfolio:

Career Opportunities in Python

Python Project

  • Portfolio Website: Craft a personal website using HTML, CSS, and Python to showcase your projects, skills, and resume.
  • Chatbot: Develop a chatbot that can interact with users and provide relevant information or assistance.
  • API Integration: Integrate with APIs to create useful applications, such as a weather app, currency converter, or social media scheduler.
  • Web Application: Develop a dynamic web application using Python frameworks like Django or Flask. This could be a task manager, an e-commerce platform, or a blog site.
  • Game Development: Design a simple game using Python libraries like Pygame, demonstrating your ability to create interactive and engaging applications.

3. Get Certified in Python

To match your skills, get certified as a Python developer with ITpreneur, an IT training institute. With 7000+ students placed across 1200+ IT companies, including IBM, Capgemini, Tech Mahindra, and more, ITpreneur’s certification will work as a testament to your mastery of the language. 

Career Opportunities in Python

Following are the career opportunities in the field of Python:

Career Opportunities Role
Software Engineer
  1. Design, code, test, and maintain software applications.
  2. Collaborate with cross-functional teams for user-friendly solutions.
  3. Proficiency in Python is vital.
  4. Understand software development methodologies.
  5. Master version control, debugging, and problem-solving.
Data Scientist
  1. Analyse complex datasets, deriving actionable insights.
  2. Develop predictive models for informed decisions.
  3. Proficiency in Pandas for data manipulation.
  4. Utilise Matplotlib and Seaborn for data visualisation.
  5. Expertise in Scikit-Learn and TensorFlow for machine learning.
Machine Learning Engineer
  1. Develop and deploy machine learning models.
  2. Preprocess data and train models.
  3. Fine-tune algorithms and ensure scalability.
  4. Profound knowledge of machine learning algorithms.
  5. Expertise in Python libraries (Scikit-Learn, TensorFlow, PyTorch).
  6. Experience in model evaluation and deployment.
Web Developer
  1. Craft dynamic and user-friendly web applications.
  2. Utilise frameworks like Django or Flask.
  3. Expertise in front-end (HTML, CSS, JavaScript) and back-end (Python, frameworks) development.
  4. Manage databases efficiently.
  5. Possess effective troubleshooting skills.
Game Developer
  1. Design and code interactive games using Python.
  2. Utilise libraries like Pygame.
  3. Strong programming skills are vital.
  4. Grasp game development concepts and graphics libraries.
  5. Showcase creativity in game design.
Data Analyst
  1. Collect, clean, and analyse data for insights.
  2. Proficiency in data manipulation (Pandas) and visualisation (Matplotlib, Seaborn).
  3. Strong grasp of statistical analysis.
  4. Transform raw data into informative reports and visualisations.
  5. Contribute to informed business decisions.
Security Engineer
  1. Identify vulnerabilities and write secure code.
  2. Conduct security assessments and mitigate risks.
  3. Profound grasp of cybersecurity principles.
  4. Utilise Python programming for secure coding.
  5. Knowledge of network protocols is essential.
DevOps Engineer
  1. Automate deployment processes and manage infrastructure.
  2. Ensure seamless integration and delivery.
  3. Proficiency in Python scripting is crucial.
  4. Familiarity with DevOps practices is essential.
  5. Work with containerization (Docker) and cloud services (AWS, Azure, GCP).
Quality Assurance Engineer
  1. Ensure bug-free and optimal software applications.
  2. Develop and execute comprehensive test plans.
  3. Report issues and contribute to product enhancement.
  4. Familiarity with testing methodologies is crucial.
  5. Utilise Python (Selenium, pytest) for test automation.
  6. Meticulous attention to detail is vital.

Potential Salary for Python Developers

Python skills have skyrocketed and have led to competitive remuneration packages. Let’s take a closer look at the earning potential in the Python development market.

As per Indeed’s report on 16th Aug 2023, the average salary for a Python developer is ₹6,80,297 per year. It’s a huge amount. 

According to AmbitionBox, the salary of Python developers, with less than 1 year to 4 years of experience, receive ₹1.5 LPA to ₹8.7 LPA, with an average of ₹4.0 LPA. Their estimated take-home salary is ₹29,531 to ₹30,852 per month.

Python Developer Salary by Experience

Experience Level Average Annual Salary Estimated Take Home Salary
Fresher ₹2.2 LPA ₹15,222 – ₹16,808
1 year ₹3.0 LPA ₹21,498 – ₹23,139
2 years ₹4.0 LPA ₹29,531 – ₹30,852
3 years ₹5.0 LPA ₹37,564 – ₹38,765
4 years ₹6.0 LPA ₹45,597 – ₹46,678

Python Developer Salary by Top Companies

Company By Experience Average Annual Salary
TCS 1-7 years ₹4.9 LPA
Wipro 0-5 years ₹5.1 LPA
Tech Mahindra 2-4 years ₹5.3 LPA
Accenture 1-4 years ₹5.7 LPA
Capgemini 1-5 years ₹6.4 LPA
Infosys 1-5 years ₹4.8 LPA
Cognizant 2-4 years ₹5.9 LPA
IBM 1-5 years ₹5.4 LPA
HCLTech 1-6 years ₹5.9 LPA
R G Technosolutions 0-3 years ₹3.0 LPA

Python Developer Salary by City

City Average Annual Salary Estimated Take-Home Salary
Bengaluru/Bangalore ₹4.4 LPA ₹32,998 – ₹34,267
Hyderabad ₹4.0 LPA ₹29,531 – ₹30,852
Pune ₹4.0 LPA ₹29,818 – ₹31,135
Chennai ₹3.7 LPA ₹27,322 – ₹28,701
New Delhi ₹3.8 LPA ₹27,924 – ₹29,295
Mumbai ₹3.7 LPA ₹27,124 – ₹28,506
Noida ₹3.8 LPA ₹27,878 – ₹29,249
Gurgaon/Gurugram ₹4.2 LPA ₹31,282 – ₹32,577
Ahmedabad ₹3.0 LPA ₹21,498 – ₹23,139

Different industries where Python is Used 

  • Finance
    In the finance sector, Python empowers financial experts to predict market trends, manage risks, and design algorithms for algorithmic trading.
  • Healthcare
    In healthcare, Python assists in medical imaging analysis, aids in predicting disease outbreaks, and contributes to personalized medicine.
  • Retail
    In retail, Python empowers retailers to create personalized shopping experiences and efficient operations.
  • Manufacturing
    In manufacturing, Python’s machine-learning capabilities enable predictive maintenance and optimize production processes. It ensures machines operate in harmony, reducing downtime and enhancing productivity.
  • Media and Entertainment
    In the media and entertainment industry, Python is the tool that enhances special effects, powers interactive games, and breathes life into creative visions.


To position yourself for success in your Pythod career, certification is key. It validates your skills and dedication, resonating with employers seeking top professionals. 

ITpreneur is your partner on this journey, offering unlimited placement calls and a 100% placement guarantee, a day-one offer letter, and a zero EMI option. It is an IT training institute, based in Pune that makes you job-ready for top MNC companies across the country. 

This is for Design reference

Embrace a future defined by Python expertise. Get started with ITpreneur’s demo sessions now!

FAQs on  Career Opportunities in Python

  1. Which jobs can I get from Python?
    Python opens doors to roles like Software Engineer, Data Scientist, Web Developer, and more across diverse industries. Its versatility ensures ample career options.
  2. Is Python a good career option?
    Python’s ease of use and versatility make it a high-demand programming language across industries. Mastering Python can lead to rewarding roles such as software engineer, data scientist, machine learning engineer, web developer, data analyst, DevOps Engineer, Quality Assurance Engineer, and Game Developer. 
  3. Which Python job has the highest salary?
    TCS Python Developer receives an average of ₹4.9 LPA. Wipro Python Developer receives ₹5.1 LPA. Tech Mahindra Python Developer receives ₹5.3 LPA. Accenture receives ₹5.7 LPA. Capgemini Python Developer receives ₹6.4 LPA.
  4. Do Python jobs pay well?
    In India, the salary of Python developers, with less than 1-4 years of experience, have ₹1.5 LPA to ₹8.7 LPA, with an average of ₹4.0 LPA.
  5. What is the benefit of doing a course from ITP (ITpreneur)?
    ITpreneur offers Python courses with an industry-aligned curriculum and a 100% job guarantee. Their training equips you with the skills needed to get a job in IT companies.

Leave a Comment

Your email address will not be published.