Python Developer Salary in India in 2024 [For Freshers & Experienced]

Wondering what is the range of Python developer salary in India?

Before going deep into that, do you know why Python is so popular now?

Python has been taking the world of programming by storm since the last decade, and with each passing year, it is only growing in popularity. Surprisingly, the language is 3-decades old and has even surpassed ‘traditional languages’ such as Java, C# and PHP. 

According to the 2019’s StackOverflow’s Developer Survey, Python is the 2nd most loved programming language in the world.

As a result of its versatile nature, it has become one of the most high-in-demand technologies around the world. As a result, a Python developer’s salary in India is significantly higher than those who are working with legacy web-development languages as mentioned above. Having data science certification from a recognized institute can improve your salary.

We are sure, this must-have sparked a will to become a Python programmer within you! Let’s take a look at who exactly is a Python developer and what is a typical python programmer’s salary in India?

Who is a Python Developer & What Do They Do?

A Python developer is a software engineer or programmer who specializes in writing, maintaining, and optimizing applications using the Python programming language. Python is a popular high-level, general-purpose programming language known for its simplicity, readability, and versatility. It is widely used in various fields, such as web development, data science, artificial intelligence, machine learning, automation, scripting, and more.

Python developers typically have a strong understanding of Python’s syntax, libraries, frameworks, and best practices. They are proficient in using various Python tools and technologies to build robust, scalable, and efficient applications. Depending on their area of expertise, they may focus on different aspects of Python development, such as backend development using web frameworks like Django or Flask, data manipulation and analysis with libraries like NumPy and Pandas, or developing machine learning models with tools like TensorFlow or PyTorch.

In addition to their Python skills, a Python developer may also be familiar with related technologies like databases, front-end development, version control systems (e.g., Git), and cloud services. They collaborate with other team members, such as front-end developers, data scientists, and DevOps engineers, to deliver complete solutions or projects.

Python Developers are usually in charge of designing, coding software applications with the help of Python language. Primary responsibilities of Python developers are writing code for backend, debug the errors and integrate. Python developers have been working on web development and data analysis for some time now but the relatively recent machine learning is effectively utilizing Python developers to make applications.

Python developers salaries in India have increased dramatically after Data Science came into the picture. So, the demand for Python developers is growing with their salaries.

Read: Python Developer Skills

Python Developers Salary in India: Why it’s so high?

Industry leaders like Google, NASA, YouTube, Amazon, Instagram, Facebook, IBM, Netflix uses Python and more and more companies are adopting Python which increases the demand and salary for Python developers.

The Python developer salary in India per month typically ranges from ₹33,000 to ₹83,000, with the Python developer salary per month varying based on experience and location.

Creators, Problem Solvers, Innovators: The Various Sub-species of Python Developers 

According to SlashData, There are 8.2 million developers who use Python in the world and 7.6 million developers who use Java. Python developers are growing in numbers every day.

A High Paying Salary and a Bright Future in Python

Here are some reasons why pursuing a career in Python can offer a high-paying salary and a bright future:

1. High demand: Python is widely used in fields such as web development, data science, artificial intelligence, machine learning, automation, and more. As companies increasingly adopt digital solutions and data-driven strategies, the demand for Python developers has soared.
2. Versatility: Python is known for its versatility, making it applicable to a wide range of projects and domains. Whether it’s building web applications, analyzing data, or developing cutting-edge AI systems, Python is an excellent choice.
3. Data science and machine learning: Python has become the language of choice for data scientists and machine learning practitioners. Popular libraries like NumPy, Pandas, Scikit-learn, and TensorFlow enable efficient data analysis and modeling, which are essential skills in today’s data-driven world.
4. Automation and scripting: Python is widely used for automating repetitive tasks and writing scripts. This is particularly valuable in IT operations, system administration, and software testing, leading to increased demand for Python automation experts.
5. Startups and tech companies: Python’s ease of use and rapid development capabilities have made it a favorite among startups and tech companies. Joining such companies can lead to exciting and well-paying opportunities.
6. Community and resources: Python has a large and active community of developers, which means there are plenty of resources, libraries, and frameworks available for learning and building projects.
7. Remote work opportunities: Python development often allows for remote work, providing flexibility and opportunities to work with global clients and companies.

Read: Why Python is widely popular among developers?

Python developers come in various roles and forms. Given below are some of them-

Python Developers Job Roles

Data Scientists

Data science is basically statistics implemented through programming. Alongside R, Python has also shown its mettle in sorting out data as per generic as well as specific requirements. As far as India is concerned, Python programmers for data science earn more than both software developers as well as DevOps programmers. The reason for this is that data collection, data cleaning and processing is becoming very common nowadays as companies need data to gather market and customer information. 

This requires a niche of Python programmers who are specially trained in the collection and processing of data through libraries like NumPy and Pandas. Data scientists are in high demand in major metros like Delhi-NCR and Mumbai and emerging cities such as Pune and Bangalore. 

Responsibilities of Data Scientists

• Gathering vast amounts of structured and unstructured data and converting them into actionable insights.
• Identifying the data-analytics solutions that hold the most significant potential to drive the growth of organisations.
• Using analytical techniques like text analytics, machine learning, and deep learning to analyse data, thereby unravelling hidden patterns and trends.
• Encouraging data-driven approach to solving complex business problems.
• Cleansing and validating data to optimise data accuracy and efficacy.
• Communicating all the productive observations and findings to the company stakeholders via data visualisation.

Must read: Data structures and algorithms free course!

Data Scientists Salary Range in India

The average data scientists salary is ₹698,413. An entry-level data scientist can earn around ₹500,000 per annum with less than one year of experience. Early level data scientists with 1 to 4 years experience get around ₹610,811 per annum.

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A mid-level data scientist with 5 to 9 years experience earns ₹1,004,082 per annum in India. As your experience and skills grow, your earnings rise dramatically as senior-level data scientists around more than ₹1,700,000 a year in India!

Source: payscale.com

Software Developer

As a software developer using Python, your core responsibility involves helping build applications from the ground up – right from gathering initial client requirements to coding the back-end logic, integrating smooth interfaces, exhaustive testing for bugs, and finally rolling out the finished product. For this, you can get better python salary in India.

A typical day sees you translating software specifications into robust and efficient Python code that scales reliably. This back-end coding means enabling key computational functions so the software delivers on business needs and getting python developer salary. You’ll collaborate closely with front-end developers who code the UI faces customers see, to ensure seamless data flow between interfaces and business logic powered in Python running behind the scenes.

As a Python developer, you leverage and bolster frameworks like Django and Flask to accelerate development and ensure best practices get incorporated along the way, which will be helping you to get python programmer salary in India. The ultimate goal, across the understand-design-code test cycle remains delivering an overall software product future-proof to needs leveraging Python’s versatility, speed and community backing, which will get a job for fresher, and one can be earning python fresher salary in India.

As a Python developer, you leverage and bolster frameworks like Django and Flask to accelerate development and ensure best practices get incorporated along the way. The ultimate goal, across the understand-design-code test cycle remains delivering an overall software product future-proof to needs leveraging Python’s versatility, speed and community backing.

Responsibilities of Software Developer

• Translate software specifications and requirements into robust, efficient Python code.
• Build back-end components and integrate front-end elements to enable software capabilities, with a handsome python programmer salary.
• Write unit tests to ensure functions exhibit desired behaviour and meet expected outcomes.
• Perform code reviews, debugging and optimization to enhance software quality.
• Document code and architecture decisions for future maintenance
• Collaborate across teams, including product managers and end-users, for feedback and insights into solution priorities.
• Select appropriate data structures, interfaces and algorithms balancing tradeoffs like security, performance, scalability, etc., based on the use case.
• Combine Python frameworks like Django, Flask or FastAPI with compatible front-end tech to deliver full-stack solutions.

Software Developer Salary Range in India

The average salary for a python developer salary in india with Python skills ranges from ₹5 – 15 lakhs per annum, covering both junior to senior levels as there is high demand of python jobs with python programming job salary. Entry-level python developer salary in India for freshers can expect starting salaries of around ₹3 lakhs annually, going up to ₹5 lakhs with 2-3 years of experience. The pay scale of python developer salary for freshers rises with specialized expertise and higher qualifications.

DevOps Engineer

A DevOps Engineer builds and maintains infrastructure, enabling faster and smoother software delivery by bridging development and operations. Python’s versatility makes it a common choice for automating cloud, infrastructure or CI/CD components underpinning modern deployment architectures, enhancing average salary of python developer in india

DevOps Engineers code Python scripts to dynamically provision or decommission infrastructure on demand for development/testing environments using IaC tools like Ansible, Terraform, etc. Python proficiency allows the creation of deployment pipelines and workflows around version control, build/test automation and release management with enhanced python full stack developer salary in India. Other responsibilities include instrumentation to monitor/analyze performance, usage for fine-tuning and ensuring infrastructure security.

Responsibilities of a DevOps Developer or python jobs salary

• Automate infrastructure provisioning and cloud orchestration using Python scripts and IaC tools like Terraform
• Continuously monitor and analyze systems performance using Python for optimization.
• Create CI/CD pipelines for building, testing and automating application deployments.
• Design deployment workflows and version control hooks to promote release consistency
• Instrument code and infrastructure for observability into metrics like uptime, latency, capacity, etc.
• Configure containers and container management systems like Docker and Kubernetes for execution
• Implement security hardening of networks, systems and pipelines based on internal protocols.

DevOps Developer Salary Range in India

DevOps Engineers or python jobs salary earn attractive remuneration owing to the high demand for automation, cloud and reliability skills. Freshers with some hands-on can expect around ₹5 lakh per annum, rising to ₹9 lakhs yearly with 3-4 years of experience. Candidates with over 5 years of experience skilled in advanced cloud-native stacks can earn ₹10-18 lakhs annually.

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Artificial Intelligence/Machine Learning

Artificial Intelligence and Machine Learning are mere umbrella terms for a number of applications that are applied across disciplines and technologies. They also involve  robotics, data analytics, web development, developing chatbots, intelligent application development and much more. 

Since late 2017, AI and ML have taken the nation by storm. Frameworks such as OpenCV, PyTorch, and TensorFlow have become buzzwords for today’s AI/ML enthusiasts. 

Responsibilities of a Machine Learning Engineer

• To study and convert data science prototypes.
• To design and develop Machine Learning systems and schemes.
• To perform statistical analysis and fine-tune models using test results.
• To find available datasets online for training purposes.
• To train and re-train ML systems and models as and when necessary.
• To extend and enrich existing ML frameworks and libraries.
• To develop Machine Learning apps according to customer/client requirements.
• To research, experiment with, and implement suitable ML algorithms and tools.
• To analyze the problem-solving capabilities and use-cases of ML algorithms and rank them by their success probability.

Salary of a Machine Learning Engineer in India

The average annual salary of a machine learning engineer is ₹671,548.  Machine learning engineer with less than 1 year experience earns around ₹500,000 per annum which is clearly one of the highest entry-level salaries in India. Early level machine learning engineers charge ₹672,106 per annum, obviously, depending on their skillset, location and demand.

The average salary of a mid-level engineer is ₹1,173,074 per annum. If they think that’s great, you will find the salary of senior-level engineers (more than 10 years experience) inspiring as they earn more than 2 million rupees per annum.

Source: payscale.com

Web Developers

Web development is never going out of demand. Web development requires robust and flexible languages, and Python fits the bill. Frameworks like Django and Flask have helped create amazing web applications that have stood the test of time and user load. 

As a result, the demand for Django and Flask developers is rapidly growing and the development market is seeing a large migration from the PHP/.NET region towards Python. The high package of a Django web developer is an example of a typical Python developer’s salary.

According to estimates by Glassdoor.in, the average salary of a Python programmer in India in website development is around ₹ 43,504 per month. This differs from region to region.

Python Web Developer Salary in India

Average web developer annual salary in India is ₹309,161, for experience between 1 to 4 years. For an Entry-level web developer, with the experience range lesser than 1 year, the average salary is ₹225,076 per year. These numbers vary widely with a change in location, for instance, a Python developer fresher salary in Ahmedabad can be a bit lesser than the one offered in Bangalore which holds a higher job opportunities.

For senior-level web developers, the average annual salary (10 to 19 years experience), goes up to ₹1,000,000 per annum.

Source: payscale.com

3 Key Reasons You Should Learn Python

1. Efficiency

There is so much that you can get done with Python, and that too within a simple snippet of code. Instead of creating complicated loops, you can use regular expressions. There are just so many resources that make any Python application easy to write and understand, which is in stark contrast to what you get with other programming languages. This includes all fields like data visualization, machine learning, and web development.

2. Python is easy to learn

Perhaps, simplicity is one of the most common reasons why Python is becoming one of the most preferred languages in India. Concepts such as loops, conditions, functions, and other such technical parts are easier to learn as compared to learning them in C++, the most basic of all Object-oriented Programming Languages.

3. Python is also used in academia

Python is now being taught in the computer science curriculum in schools and colleges. As a result, learning the language becomes easier right from the beginning. The existence of Python as a development language has gradually gained traction and, thus, entered various industries. Also, Python is being used in universities for research and development in disciplines such as Robotics and Artificial Intelligence Systems.

4. Python is highly flexible and extensible

A key highlight developers love about Python involves the simplicity with which code can get extended and interconnected across pieces like building blocks owing to Python’s emphasis on object-oriented programming, readability and modularity, for python developer fresher salary.

The extensive standard library coupled with multitudes of specialized libraries for needs by simply importing modules makes solutions highly configurable – spanning use cases like quickly scripting a dashboard visualizing supply chain analytics to architecting a scalable microservices web platform powering an e-commerce business, which is an opportunity with high python full stack developer salary in India.

5. Python has a library to cater to your every need.

The ubiquitous presence and maturation of standardized libraries for needs ranging from automation, analytics and data visualization to cutting edge AI research has cemented Python’s popularity globally. Over 150,000 readily usable Python libraries on centralized repositories like PyPI spare developers for reinventing the wheel; instead, they can simply import targeted functionality with a single line of code and hit the ground coding applications in no time, leveraging community wisdom coded into packages like Numpy, SciPy, Pandas, Matplotlib catering from science to engineering use cases or niche vertical needs.

6. Python makes web development a breeze

Python’s extensive web frameworks like Django and Flask simulate drag-and-drop components enabling developers to stitch dynamic databases and front-end code with back-end business logic glued together by Python scripts serving request-response cycles in no time without convoluted code setups – granting precious time for honing application functionality rather than build intricacies. The smooth on-ramp coupled with scalability for heaviest traffic sites like YouTube or Dropbox, keeps Python a darling for hobbyist weekend programmers and expert web architects alike.

7. There’s plenty for Data Visualization

Python’s data analysis and visualization capabilities make insightful dashboarding accessible without needing niche proprietary tools or coding expertise. Simple wrappers using Matplotlib, Plotly, Seaborn or Bokeh allow stunning interactive charts, enabling decision-makers easily monitor key business metrics visually. Adoption ease also allows non-programmers like business analysts picked up Python for enriching reports, elevating access to impactful data interpretations.

8. Python comes with numerous testing frameworks

Mission-critical code depends on exhaustive testing frameworks like UnitTest or PyTest that ship out-of-the-box alongside the Python distribution itself, making testability and resilience first-class citizens when engineering software systems, unlike niche languages focusing solely on functionality. These batteries-included testing modules, coupled with Python’s inherent readability for requirements traceability, bolster quality assurance – explaining its embrace for startups building advanced analytics or robotics systems where innovation velocity and correctness carry equal priority. 

9. Python is great for scripting and backed by an active community.

Python gives working software in minutes, catering to automating mundane tasks, protein folding simulations or data pipelines for business insights alike without ceremonious coding setups – endearing it to veterans and hobbyists who value both productivity and joy in engineering world-class solutions. Globally, it is the most taught first language at universities while Python conferences Host tens of thousands of practitioners sharing expertise across domains thanks to its readable syntax and ubiquity spanning systems programming to quantum computing alike.

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A High Paying Salary and a Bright Future in Python: Some Key Stats

The career opportunities in Python, as well as the salary structure in Python, go hand in hand. Naturally, the scope for Python is very high. The salaries for a Python developer are high, not just in India, but also in countries like the UK and the US since Python is the fastest-growing programming language in these countries.

The average salary of a Python developer in India with 2 to 4 years of experience is around ₹5 lakh, whereas that of a Ruby developer (comparing to Ruby since it is touted as potential competition to Python) is ₹4.48 lakh.

On the other hand, a Python programmer’s salary in Germany, around 48,458 Euros.

Coming to Canada, the same will fetch you around Ca $99,581, which is actually triple to that of the median wage in Canada. 

Going by the above stats, we can say that the career of a Python developer with decent experience is stable and fetches an attractive income. 

Check out all trending Python tutorial concepts in 2024

Factors Affecting Python Developer Salary in India

Python Developer salary in India can be affected by multiple factors. Let’s see some primary salary affecting factors:

1. Experience
2. Location
3. Job Role
4. Skillset

Python Developer Salary Based on Experience

Let’s see how Python developer salary in India varies based on experience.

Entry-Level Python Developer Salary

The average salary of entry-level Python developer salary in India is ₹427,293.

Mid-Level Python Developer Salary

The average salary of a mid-level Python developer salary in India is ₹909,818.

Experienced Python Developer Salary

The average salary of a Senior python developer salary in india is ₹1,150,000.

Let’s see how the salary increases with experience:

Source

Python Developer Salary Based on Location

Gurgoan is becoming the dream city for Python developers with the highest – ₹700,717. Bangalore – The Silicon Valley of India pays ₹669,787 to Python developers. Hyderabad pays the least with  ₹475,000 and Pune & Chennai pays  ₹540K to Python developers. While Python developer fresher salary in Ahmedabad can range from anywhere between ₹1-7 lakhs per annum further depending on skills. 

Source: payscale.com

Python developers from Gurgoan & Bangalore earn 26% & 21% more than the rest of India respectively.  Chennai, Pune and Hyderabad are among the lowest-paying cities for the Python developers in India.

Python Developer Salary Based on Job Role

There are multiple roles Python developers play in Information Technology like Data Scientist, Machine Learning Engineer, DevOps Engineer, Web Developer, etc. Let’s have a look at their average annual salary in India based on their roles.

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Python Developer Salary Based on Skillset

When Python developers have knowledge of other skills, it increases their salary accordingly. CV Compiler has conducted research about the skillset which are in-demand. Python full stack developer salary increases and decreases according to these skill sets.

Source: CV Compiler

So, when Python developers increase their skills in the above-mentioned languages, their demand and salary will rise exponentially. Also, how strong you are with the Python tools plays a vital role in your selection process.

Python Developer Salary on Other Countries

US: Python developers average annual salary is $117,000.

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UK: Python developers average annual salary is £67,000.

Source

Future Scope of Python in India

Python language has become increasingly popular in the last few years. It has enabled the developers to create unique applications that are interactive in nature and gather the interest of the customers. This has also affected the python full stack developer salary. Big data, machine learning, and computer science are rapidly gaining traction in India, one of the world’s fastest-growing economies. Since Python is adaptable, it is popular in India. Its simplicity has also made it popular in the analytics industry. The use of Python in various industries, such as healthcare and retail, offers a variety of career opportunities for python programmers. With the advancement of AI and machine learning in India, Python’s acceptance will grow more widely. This will also help developers gain a good amount of experience, and the full stack python developer salary will be according to their experience. 

Programming languages such as Python are widely used to create systems and applications. The Python programming language simplifies the tasks of major companies and search engine giants. In order to address their challenging programming problems, Google, Facebook, Quora, and Yahoo. use Python programming. Due to this, it is important that you develop your ideas in Python as soon as possible. 

Skills required to become a successful Python programmer

Expertise in Python is not easy to attain. This also affects a full stack Python developer salary. Although it requires advanced ideas and skills, it is a process that takes time. Here are the skillsets that you will require to become a successful python programmer – 

• Core Python Proficiency 

You need a solid foundation in core python programming to be able to gain from its benefits. You need to comprehend all kinds of data structures so that you can handle all situations at all times. This will help you get better jobs and better Python jobs salary.

• Understanding the Python Framework

One of the main advantages is that Python has the largest number of libraries accessible. However, to work in the industry as a Python developer, you need to be an expert in them. You should also be familiar with Python frameworks to get a better Python jobs salary.

Understanding of Data Structures and Algorithms

A solid grasp of foundational data structures like arrays, hashes, trees, stacks, etc, allows Python developers to store efficiently and access program information based on optimization tradeoffs around lookup speed, memory needs and code flexibility. Additionally, fluency in techniques like recursive algorithms, bitwise operations, and complexity analysis strengthens problem-solving abilities.

Database Knowledge

Virtually all programs create, store, update and query information permanently beyond application lifetimes. Python developers need a working grasp of both SQL and NoSQL databases to build versatile data persistence layers. Python maximizes utility via native integration with nearly all database types like MySQL, MongoDB, Cassandra, DynamoDB and Postgres – facilitating smooth data pipeline development for apps via Python SQL libraries like 

SQLAlchemy.

Understanding database design aspects like normalization vs denormalization, optimizing queries, indexing appropriately and securing data access enables crafting structured or unstructured data platforms as needed for use-cases like analytics, transactions or stream processing.

Version Control Systems

Expertise in leveraging version control systems like Git, Mercurial, or SVN is imperative for Python developers to track code changes, maintain history, and enable collaboration with other developers. When containerised, Python code integrates natively with version control to maintain builds, deployments and infrastructure state.

Through branching strategies, pull requests and distributed version control mechanisms; Python teams organise collaboration at massive scales leveraging GitHub or BitBucket. Automation workflows around testing, integration and deployment also interplay closely with version control systems today. Combining Python and version control mastery helps businesses quickly orchestrate changes consistently and securely.

Front-End Technologies

For holistic full-stack development beyond just backend logic, Python programmers need working exposure on front-end layers dealing with UI and UX. Basic understanding of HTML/CSS and JavaScript allows Python developers to supplement robust back-end application APIs and logic with presentation tiers and visual interfaces for end-user interactions.

Increasing use of frameworks like React also warrants awareness for enhanced responsiveness and dynamic experiences. Even server-side templating languages like Jinja2 in Python assist in binding data seamlessly from backend Python code into templates for front-end rendering. With Python capable of handling full-stack, versatility across layers unlocks user-friendly development.

Testing and Debugging

With widespread Python adoption in mission-critical use cases, rigorous testing and debugging represent non-negotiable best practices for Python developers aiming to build resilient software. Disciplined application of test-driven principles leveraging Python’s extensive in-built testing tools like unit test minimizes regressions and unintended consequences even as software complexity and collaborating teams grow manifold.

Other imperative skills include fluency in techniques like white box testing, behavioural testing, performance benchmarking, mocks, test case parameterization and exception handling that boost quality assurance. The stakes remain high in fields like financial trading platforms or industrial controls where both velocity and precision carry equal priority – objectives fulfilled by Python thanks to its versatility and testing rigor capabilities.

Python Developer Salary in India – Company Wise

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How to prepare for Python interviews to land the best jobs

Python coders are in great demand, thus, if you want to get an interview with a top tech company, you must shine in Python coding interviews. Jobs for Python developers have increased over the past several years as a result of its adoption by some of the biggest organizations in the world, such as Netflix and PayPal, in a variety of coding contexts, from games to online apps.

To test the limits of cutting-edge technologies like data science, data analysis, AI, natural language processing, and machine learning, they recruit Python engineers. The Python coding interview questions listed here can assist you in planning if you’re preparing for a technical Python interview. Discover the qualities that employers want in Python developers, as well as the top advice for beating the competition.

This information might be useful if you are getting ready for a technical interview for a software engineer, tech lead, engineering manager role, or software developer.

You must be knowledgeable about the major web frameworks, multi-process architecture, and object-relational mappers, to establish yourself as an excellent candidate. You may have an advantage over all other applicants if you have expertise in other programming languages such as Java, experience with network management, scripting, creating data storage solutions, and other talents that recruiters feel are useful to the organisation. 

Salaries of Other Software Related Roles Compared to Python

Let’s look at the average salaries of other software related roles compared to Python developer salary in India.

Ruby on Rails Developer average annual salary in India:  ₹471,015
Java Developer average annual salary in India: ₹507,714
Perl Developer average annual salary in India: ₹683,140
C++ Developer average annual salary in India: ₹452,227
Front end Developer average annual salary in India: ₹490,385
.Net Developer average annual salary in India: ₹413,145
PHP developer average annual salary in India: ₹287,651
Python Developer average annual salary in India: ₹555,776

Source: payscale.com

To Summarize the Whole Discussion

No wonder that Python is growing by leaps and bounds, and that it is finding a great utility in all sorts of applications and fields. This utility, in turn, is further fueling the need for Python. If you are one of those programmers/developers who think they are stuck in a dead-end programming job, this is your opportunity to make it big by learning Python.

So, be it web development with Django/Flask or data science with Pandas and NumPy, Python is going to fetch you significantly higher pay.

We hope you liked our article on Python developer salary in India. These numbers above are not set in stone. The real influencer of your salary is the skills you have,  the mastery you have attained over them, and how quickly you grow and make the company grow as well.

If you are reading this article, most likely you have ambitions towards becoming a Python developer. If you’re interested to learn python & want to get your hands dirty on various tools and libraries, check out IIIT-B & upGrad’s Executive PG Programme in Data Science.