Testimonials
Our Testimonials
Being a customer-centric organization, we devote all our resources to serve our customers to the best of our abilities. Here's what they opine about our mobile app development company in India.
Technology
Python Development Company
We create cutting-edge apps and modernize legacy systems with our expert Python development services! Whether you're modernizing old systems or building the next big app for your business, we have got the expertise to use the power of Python to unlock new possibilities and take your digital journey to the next level.
16+
Years in Business
400+
Team Strength
90%
Repeat Business
96%
Ontime Delivery
Accelerate Growth and Innovation with Python Development
Python is the fastest-growing major programming language and the best solution for solving modern digital problems. It ranks as #1 in the TIOBE Index and is used by big businesses like Netflix, Instagram, Spotify, and more.
If you are a business that needs AI, web platforms, and data-driven apps, choose our Python app development company to develop scalable and high-profile Python apps. Our team strongly focuses on user experience in today's digital world while creating mobile apps, websites, CMS platforms, games, APIs, and AI/ML solutions that address your unique business needs.
TensorFlow
OpenAI
Docker
AWS
OCR
Kubernetes
Drive Digital Transformation with Custom Python Applications
Today, custom apps have become the basic requirement for every business to have a unique brand identity and solve unique challenges.
With our deep expertise in Python, we design solutions that are perfectly tailored to your business, whether for AI, mobile apps, data analytics or automation.
With solid expertise and experience in custom Python development, we can handle complex migration and custom app projects.
We are fluent in implementing APIs using REST, event-driven as well as developing user-specific mobile apps, Python games, CMS, and more to help businesses stand out, delight users and achieve long-term growth.
Our Python App Development Success Stories
Take a look at our case studies and see how we have created a beautiful impact for various industries with our Python skills and expertise. If this inspires you, let's connect and discuss your business idea to create your success story too.
Why choose Expert App Devs for Python app development?
Why Choose Expert App Devs for your Project Development
Our Python development services are focused on engagement and results. Our developers specialize in AI/ML and cloud services to make sure we deliver advanced apps with advanced functionalities.
Top 1% experts
Being a top Python app development company, we only pick the best developers for our team. Our team consists of developers who have experience with successful Python projects.
End-to-end development
We provide full-cycle development services, from initial concept, strategy, Python development, deployment, and post-launch support. We are there with you when you need us.
Constant learning
We are constant learners. Our team learns every day and stays updated to the latest trends and market insights to implement the best practices in the project.
Strict NDA
We understand you are worried about your business information and other sensitive data. This is why every project we work on gets started with signing an NDA and transparency.
High-tech security
Our company always follows a security-first approach, like data encryption, secure protocols, role-based access, validation, and more, to secure the app data and prevent vulnerabilities.
Diverse industry servings
You can check our portfolio to see our experience across various industries. We can deliver the best results no matter what your niche is.
Best post-launch services
We have many long-term clients whom we have been serving for a long time. Our relationship does not end with app delivery, we help you even after post-launch with bug fixes, updates, performance enhancement, and more.
AI and ML excellence
We have AI and ML experts in the team who can create future-ready and rare applications for your business to stand out from competitors.
Python is not just a language it’s your digital superpower. Automate, integrate, and dominate with apps that think fast and scale big.
Python app prototyping with interactive UI screens, workflows, and scalable user experience design
User journey mapping for Python applications with connected workflows and customer experience planning
Python application design system with reusable UI components, cards, buttons, and interface elements
Python app wireframe design with structured layouts, screen planning, and feature architecture
Interactive Python application interface with responsive controls and dynamic user interactions
Collaborative Python app design workspace for real-time planning, feedback, and development coordination
Requirement Analysis & Wireframing
We work on making the base strong for a successful app, hence, we focus deeply on understanding the features and important requirements of the app. Based on the requirements, our designers create a clear prototype and wireframe design using suitable prototyping tools to give you an idea how the app will look and how its functionality will work.
Agile Python development workflow for faster releases, continuous improvements, and scalable delivery
Python API integration connecting applications, databases, cloud services, and third-party platforms
Advanced Python development environment for secure web, AI, and enterprise application coding
Cross-platform Python application development with scalable backend and cloud integration
Full-stack Python development using frontend frameworks, backend systems, and scalable databases
Python application deployment with automated DevOps workflows and cloud infrastructure management
Agile Python App Development
Our team will share with you the prototype and wireframe of your app. If it's fine and gets approved by you, we will start development of the app. As we believe in speedy and smart work, our developers use automation tools to automate some tasks, while the back-end code and logics are written by our experienced Python developers by keeping security and scalability in mind.
Automated Python application testing workflows for quality assurance and performance validation
Python application compatibility testing across devices, browsers, and operating systems
Python app performance analytics with monitoring dashboards and optimization insights
Python quality assurance and bug tracking system for issue detection and resolution
Responsive Python application testing across multiple screen sizes and device resolutions
Python app speed optimization and monitoring for high-performance user experiences
Quality Assurance & App Testing
We test every module of the app against various tests before delivering it to you. Our QA and testers check for any roadblocks, functional issues, design issues, responsiveness, security, and many other things. Based on this, our team fixes the discovered issues at the early stage to deliver a clean and high-performance app.
Real-time Python application monitoring with analytics, uptime tracking, and performance insights
End-to-end Python application lifecycle management for long-term scalability and operational success
Continuous Python application support, troubleshooting, updates, and technical maintenance services
Python performance enhancement services for improved speed, scalability, and engagement
Python application security with encryption, secure authentication, and data protection systems
Python server maintenance and system updates for stable and uninterrupted application performance
Post-Launch Support & Maintenance
We offer the best post-launch support. If you need to add any new feature, update your application, security patches, or need any technical/non-technical help, we are just a call or message away. Other than this, our support always keeps track of your app performance by monitoring and checking analytics to keep it running fine in the future.
Python technology roadmap planning for scalable digital products and enterprise growth
Python consulting strategy supported by analytics, automation, and digital transformation insights
Python-powered digital transformation solutions for modern business operations and automation
Strategic collaboration between clients and Python developers for successful project execution
Enterprise Python solution planning focused on scalability, AI integration, and performance
Python growth strategy consulting for business expansion, automation, and long-term innovation
Python App Consulting & Scaling Strategy
We've got your back from start to end journey of this Python development. If you need help in refining your Python app, or planning to feature any upgrades, our consultants can guide and create a secure roadmap on how to proceed with the particular change.
Whether it's scaling, enhancing security, integrating AI, planning future development phases, or adapting to overnight app changes, our experienced consultant makes sure your app evolves in ar right manner.
Our Projects
Our Projects Our Projects Digital Excellence Through Expert Engineering.
The Fundamentals of Python You Can’t Miss
A quick overview related to Python
Python is a high-level programming language used for web development, data science, machine learning, automation, and various other fields. It was invented by a Dutch programmer, guido van Rossum, in 1991.
If we look at the history of Python, very few people know the true history of Python. It was developed as a scripting language for an amoeba project. The purpose was to create a programming language that is easy to read and use.
There is an interesting reason behind why it's named Python. This programming language is named after the television program Monty Python’s Flying Circus. And this is why the tutorials of Python include jokes and the cartoon representation similar to this circus show.
Key features of the Python language
Python is loved by beginners, experienced developers, and many industry experts due to its versatility, simplicity, and capability to fulfill various development requirements.
Below is the list of Python features.
#1. Open-source
This is one of the biggest benefits for users as Python is open-source and can be run on multiple platforms, it can be used by any business according to their needs.
#2. Readability
Python has a clean and readable syntax that helps developers write clear code with better understanding.
#3. Interpreted language
The entire code of Python is executed line by line, so it is easy for developers to debug the code.
#4. Dynamically-typed
Python automatically declares the data type at run-time. Hence, this simplifies writing code for developers without worrying about data types.
#5. Object-oriented
It includes object-oriented language; hence, if developers know the OOP concepts, it is easy to write properties and methods to organize the code properly.
#6. Extensive libraries
It has a diverse collection of libraries and tools to fulfill any industry needs, whether it's web apps, desktop, data analysis, automation, and more.
#7. Cross-platform
The Python code can easily be executed on Windows, Linux, macOS, and many other OS. plus, you don't need to edit it much.
#8. Huge community support
Python has a big community support that is always available to help with using tools or implementing libraries etc.
What Can You Build with Python?
Python is a versatile and interpreted language that supports multiple programming languages; hence, you can build so many things from Python. Below is the list of use-cases that you can build with Python.
#1. Web development
You can create websites with Python by using frameworks such as Django and Flask. As Python is a clean and easy to learn language, it is suitable for building scalable, secure, and complex websites by using libraries and other advanced features.
#2. AI and machine learning
It has useful tools like TensorFlow, PyTorch, and scikit-learn that help developers to create intelligent apps, predictive models, and automate tasks accordingly. Developers can also create AI chatbots and personalized engines to provide users witha personalized experience.
#3. Data science and analysis
Python has some of the best tools for data science and analysis, such as Pandas, NumPy, and Matplotlib, which help developers to turn raw data into useful insights.
#4. Automation and scripting
It helps to simplify repetitive tasks by automating tasks like data entry, system backups, email marketing, or software testing. This helps businesses and developers to prevent human mistakes and improve their overall workflow.
#5. Web scraping
Businesses can use tools like BeautifulSoup and Scrapy to gather competitor data, market research, pricing trends, and customer insights.
#6. Game development
You can also create 2D games, educational and indie games by using the Pygame framework. As Python is highly readable and has clean syntax, developers can easily focus on game logic, graphics, and other things to make a good game.
#7. Create a desktop app
Python helps to create feature-rich, user-friendly desktop applications using libraries like Tkinter, PyQt, or Kivy.
#8. Scientific computing
Python also helps with scientific computing because it has so many useful libraries like SciPy and SymPy. Researchers and businesses are already using it in physics, biology, and other subjects for performing complex mathematical computations, simulations, and data analysis.
#9. IOT
You can also use Python for creating smart and connected devices like sensors, smart home devices, industrial solutions, and many more, using tools like MicroPython, Raspberry Pi.
#10. DevOps and cloud
Python is compatible with most platforms, including major cloud platforms like AWS, Azure, and GCP; hence, it is useful in automating scripts, API, cloud deployment, server management, and more.
#11. Cyber security
As Python contains lots of useful libraries and tools, even cybersecurity experts use it to create tools for network scanning, penetration testing, and malware analysis.
Which Big Companies Use Python? Real-World Examples
Python has been used by multi-billion-dollar businesses and to design the world’s biggest websites, too. Let's have a look at some of the real-world examples.
- Google uses Python and ML models for implementing its core search algorithm, which is also responsible for SEO and other back-end services of Google.
- The famous OTT netflix uses Python to analyze data and offer personalized recommendations of shows and series to users.
- The famous shopping website, which we all love to shop on, Amazon, has also been using Python for various things like product recommendations, data operations, and various other operations.
- The online streaming platform Spotify uses Python for data analysis to offer good music recommendations according to trends and taste.
- Facebook, which is now Meta, also uses Python for handling its back-end operations like image processing and more.
- The Q/A platform Quora too uses Python. And even NASA scientists and other reputed experts use Python for research and managing other complex tasks.
Python Users: Which Businesses, Industries and Developers Trust It?
Python is today the #1 choice of industry professionals for a number of reasons because it supports the modern digital generation and helps businesses create new innovations easily.
#1. Large tech companies
Due to its vast set of libraries and tools, software developers and web developers highly use Python in large tech and IT companies. Also, tech leaders like Instagram, Dropbox, and Spotify use Python for their core infrastructure and back-end services.
#2. Data scientist
As Python has amazing libraries like NumPy, Pandas, and Scikit-learn, data scientists and experts use it for data analysis, visual representation, and data interpretation operations.
#3. Financial institutions
Financial institutions like JP Morgan and other trading firms also use Python for data analysis and understanding the algorithm to make finance-related decisions.
#4. Machine learning experts
Machine learning engineers use Python for making predictive models and other AI models to convert the useful data into action for business.
#5. Individuals and coding lovers
As Python is free to use and easy to read and understand, hobbyists and coding lovers can also explore various tools and libraries for personal projects and other innovations.
Extend Your Engineering Team Without Losing Technical Control
Add Python development capacity to your existing team or engage an external engineering team for a defined project. Establish responsibilities, communication expectations, and delivery standards before development begins.
When Should You Hire Python Developers?
- Your internal team needs additional engineering capacity.
- Your product roadmap requires new backend capabilities.
- You need to modernize an existing Python application.
- Your business needs specific technical expertise.
- You need support for a defined development project.
What Should You Evaluate Before Hiring?
- Relevant experience with your application architecture.
- Code quality, testing, and review practices.
- Communication and working hour overlap.
- Security, confidentiality, and IP ownership terms.
- Availability, onboarding, and ongoing support.
How to Choose a Python Development Partner
Evaluate engineering partners on technical ability, delivery processes, communication, and contractual safeguards rather than relying on developer counts or technology lists alone.
| Evaluation Criteria | What to Verify | Why It Matters |
|---|---|---|
| Technical expertise | Review relevant Python projects, architecture decisions, coding standards, and developer experience. | Helps establish whether the team can solve your actual engineering problems. |
| Security and IP | Review NDA terms, intellectual property ownership, access controls, and data handling policies. | Protects confidential information, source code, and business assets. |
| Quality assurance | Ask about automated tests, code reviews, regression testing, and release approval processes. | Reduces the risk of preventable defects and unstable releases. |
| Communication | Establish meeting schedules, reporting methods, working hour overlap, and escalation procedures. | Keeps distributed teams aligned on scope and priorities. |
| Delivery process | Confirm sprint planning, project ownership, milestones, dependencies, and acceptance criteria. | Makes delivery expectations and responsibilities clear. |
| Trial and onboarding | Review trial eligibility, developer matching, onboarding steps, and commercial terms. | Helps you evaluate the working relationship before making a longer term commitment. |
Table of Content
- A quick overview related to Python
- Key features of the Python language
- What Can You Build with Python?
- Which Big Companies Use Python? Real-World Examples
- Python Users: Which Businesses, Industries and Developers Trust It?
- Extend Your Engineering Team Without Losing Technical Control
- How to Choose a Python Development Partner
FAQ
Common Questions Answered
Get in touch with our experts
Python app development will benefit your business in many ways:
- It is free to use and supports many libraries and frameworks. This helps reduce development cost and time, too.
- You can use Python to create various types of applications, and it runs on multiple OS.
- Other than this, its rich eco-system, versatile and flexible nature, helps to make any type of application for business.
At Expert App Devs, we use unit testing, integration testing, functional testing, and user acceptance testing (UAT) to identify issues in the Python app.
Yes, as we are a full-stack service provider, we handle both the front-end and back-end of the Python project. We use Django, Flask, etc for the back-end, and for the front-end, we use React, Vue.js, or Angular. If you have any customized needs, we can also fulfill those to align with your app vision.
Yes, we do. Share us your app idea, and we will guide you with the right technologies, strategies, design considerations, development concerns, and other things to make your app concept amazing and useful for users.
Since 16 years in app development, we have almost worked with top Python frameworks like Django, Flask, FastAPI, and Pyramid for backend development. We also use libraries like TensorFlow and Pandas for AI/ML projects.
The time to develop a Python app can vary between 2 months to 12 months. Timeframe depends on the complexity of the app, features, size, developers' experience, and many other factors.
- Simple Python apps can be done within 2 to 4 months.
- Moderate complex Python apps can be done within 4-7 months.
- And complex and large Python apps can take over a year or more.
A Python app development project can cost you something around $3,000 to $30,000. If you have an idea in your mind and want to know accurate costing, then write us an email with your requirement today.
No problem if you need urgent changes or any kind of support after deployment; we can do that too. We offer flexible engagement models that can be easily scaled up and down according to your requirements.