Python has versatile applications, including:

1. Web Development: Frameworks like Django, Flask for building web apps.
2. Data Analysis: Libraries like Pandas, NumPy for data manipulation.
3. Machine Learning: TensorFlow, scikit-learn for ML and AI.
4. Scientific Computing: Used in scientific research and simulations.
5. Automation and Scripting: For tasks like scripting, automation, and system administration.
6. Game Development: With libraries like Pygame.
7. Desktop Applications: Using libraries like PyQt, Tkinter.
8. IoT: Python is used for programming IoT devices.
9. Web Scraping: For extracting data from websites.
10. Natural Language Processing (NLP): Nltk, spaCy for text analysis.
11. Database Connectivity: Supports various databases.
12. Cybersecurity: Python is used for ethical hacking and security.
13. Education: Taught in schools and universities for its simplicity.
14. Finance: Used in financial modeling and analysis.
15. Graphics and Multimedia: Libraries like OpenCV for image processing.

• Web Development.
• Data Science — including machine learning, data analysis, and data visualization.
• Scripting.

Python is often used as a support language for software developers, for build control and management, testing, and in many other ways. SCons for build control. Buildbot and Apache Gump for automated continuous compilation and testing. Roundup or Trac for bug tracking and project management.