Portfolio and Project Evaluation
Assessing complexity, innovation, and diversity of past projects.
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Top Companies Globally Using Python in 2025
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Python is one of the four main languages at Google, with YouTube largely written in Python.
Impact
Facilitates rapid development and scalability across various services.
Notable Use
Backend services, data processing, and machine learning infrastructure.
Netflix
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Utilizes Python for data analysis and backend services.
Impact
Enables personalized recommendations and efficient content delivery.
Notable Use
Content recommendation engine and streaming optimization.
Spotify
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Python powers backend services and data analytics pipelines at Spotify.
Impact
Enables real-time data processing, scalable APIs, and reliable music recommendation systems.
Notable Use
Backend services, data analytics, and machine learning pipelines.
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Built on Django, a Python web framework.
Impact
Allows rapid development and scaling of features.
Notable Use
Photo and video sharing platform, user engagement features.
Amazon
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Uses Python for backend services and data analysis.
Impact
Enhances e-commerce operations and customer experience.
Notable Use
Inventory management and recommendation systems.
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Rewritten in Python in 2005.
Impact
Facilitates scalability and feature development.
Notable Use
Community-driven discussion platform.
Dropbox
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Core backend services are written in Python.
Impact
Ensures efficient file synchronization and storage.
Notable Use
Cloud storage and file sharing services.
Highlight
Utilizes Python for backend services.
Impact
Supports image sharing and discovery platform.
Notable Use
Visual discovery engine and social media features.
Stripe
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Employs Python for backend services and data processing.
Impact
Facilitates online payment processing and financial services.
Notable Use
Payment gateway and financial infrastructure.
Uber
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Uses Python for backend services and data analysis.
Impact
Enhances ride-sharing and logistics operations.
Notable Use
Ride matching and pricing algorithms.
JPMorgan Chase
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Uses Python for financial modeling and data analysis.
Impact
Enhances financial services and decision-making processes.
Notable Use
Risk management and algorithmic trading.
NASA
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Uses Python for scientific computing and data analysis.
Impact
Supports space research and mission planning.
Notable Use
OpenMDAO framework for multidisciplinary design optimization.
MIT
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Utilizes Python for scientific research and education.
Impact
Advances technological and scientific knowledge.
Notable Use
Research projects and academic courses.
Anaconda
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Provides open-source Python software for data science and AI.
Impact
Facilitates data analysis and machine learning development.
Notable Use
Python distribution and package management.
Ola Krutrim
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Developed Kruti, a multilingual AI agent using Python.
Impact
Enables real-world task automation in multiple Indian languages.
Notable Use
AI chatbot for task automation and service integration.
Industrial Light & Magic
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Employs Python for visual effects and animation.
Impact
Supports high-quality film production.
Notable Use
Special effects and animation workflows.
Capital One
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Uses Python for financial modeling and data analysis.
Impact
Enhances financial services and decision-making processes.
Notable Use
Risk management and algorithmic trading.
Barclays
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Uses Python for financial system modeling.
Impact
Supports financial services and decision-making processes.
Notable Use
Risk management and algorithmic trading.
Walmart
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Uses Dask for forecasting the demand for 500,000,000 store-item combinations.
Impact
Provides in-demand items in sufficient quantities at all their outlets.
Notable Use
Large-scale data processing and demand forecasting.
Why Do These Companies Choose Python?
Performance and Scalability
Python's simplicity, readability, and rich ecosystem of libraries enable companies to build scalable applications, process large datasets efficiently, and handle high-traffic systems with ease.
Developer Productivity
Python's clean syntax and extensive frameworks (like Django, Flask, and FastAPI) accelerate development, reduce maintenance overhead, and enable rapid prototyping and iteration.
Community and Ecosystem
A massive, active community offers continuous support, a wealth of libraries for web development, data science, machine learning, automation, and cloud services, ensuring developers have access to the best tools and resources.
Versatility and Integration
Python supports web, desktop, mobile, cloud, and data-intensive applications, making it easy to integrate with other technologies and platforms while maintaining code consistency and reliability.
Python: The Dominant Force in Modern Application Development
72%
of developers use Python professionally
86%
express preference for Python over other languages
614,339
packages on Python Package Index (PyPI)
1.5M+
weekly downloads for popular libraries like Pandas
Market Dominance and Global Adoption Statistics
Python has emerged as one of the most widely adopted programming languages in the world. As of 2025, Python powers millions of applications across industries, from web development to data science, machine learning, automation, and cloud computing.
Trusted by Industry Leaders
GoogleNetflixInstagramSpotifyAmazonTeslaDropboxFortune 500
Python's central role in modern development cannot be overstated. Over the past three decades, Python has evolved from a simple scripting language into a versatile, high-level language that supports rapid development, scalable architectures, and cutting-edge technologies. Its maturity, combined with a massive ecosystem of libraries, frameworks, and community support, makes Python not only a preferred choice for experienced developers but also an ideal starting point for newcomers in software development, data engineering, and AI/ML.
Developer Adoption and Community Growth
Python continues to experience remarkable growth and adoption among developers worldwide. As of 2025, Python is utilized by over 72% of developers professionally, with 86% expressing a preference for it over other languages. This widespread usage underscores Python's versatility and developer-friendly nature, making it a top choice across various domains.
Unprecedented Growth Trajectory
New Talent Influx
41%of Python developers have less than 2 years experience
Open Source Contribution
32%contributed to open-source projects in the past year
Unprecedented Developer Satisfaction
Python's appeal is further evidenced by its high satisfaction and retention rates. According to The State of Python 2024 from the PyCharm Blog, 41% of Python developers have less than two years of experience, indicating a strong influx of new talent into the ecosystem. Additionally, the Python Developers Survey 2024 by JetBrains reports that 32% of respondents contributed to open-source projects in the past year, reflecting a vibrant community committed to collaboration.
Python Package Index Growth
As of March 13, 2025
614,339+
packages spanning web development, data analytics, machine learning, automation, and more
Download Statistics and Market Penetration
Python's widespread adoption is reflected in its robust download statistics and market presence. As of 2025:
47%
Ecosystem Growth
CAGR for active packages over 15 years
39%
Author Growth
CAGR for new PyPI authors
Weekly Downloads
Popular Python libraries such as Pandas record over 1.5 million downloads per week, demonstrating Python's heavy use in data science and analytics workflows.
GitHub Dominance
According to GitHub's Octoverse 2024, Python is the most used programming language on GitHub, powering millions of repositories and contributions across AI, ML, and automation projects.
The Future is Python
These statistics not only showcase Python's popularity but also its sustained growth and critical role in the evolving landscape of modern development. From web applications to AI/ML innovations, Python continues to dominate as the programming language of choice for developers worldwide.