Python: The Secret Ingredient to Success in Every Industry. II
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6. System Administration
ā¹ļø System Administration - managing systems and networks, monitoring system performance, ensuring security, and working with networks.
š According to the Stack Overflow Survey and GitHub Octoverse 2023 statistics, Python is used by over 45% of system administrators and has solidified its position in developing system scripts on GitHub.
š Python Opportunities for System Administrators: Modules like os, subprocess, shutil, and psutil make managing system files, monitoring processes, and automating tasks much easier and more efficient. Tools like Ansible and SaltStack are used for server management and automation.
š» Facebook: Uses Python scripts for monitoring servers and automatically resolving issues during system operations.
Red Hat: Extensively uses Python-based automation tools for managing Linux servers.
7. Desktop Application Development
ā¹ļø Desktop Application - the process of creating standalone software that runs on computers. These applications work with user interfaces and unique functionalities.
š According to the Stack Overflow Survey, the use of Python in desktop application development has increased to over 30% in recent years. Despite Java and C++ being leaders in this field, Python is also finding its place in the market.
š Python Desktop Application Development Opportunities: Libraries like Tkinter, PyQt, Kivy, and wxPython are available. These libraries allow for creating graphical interfaces. Tkinter is the most widely used, simple, and effective tool. PyQt and Kivy are well-suited for creating advanced interfaces.
š» Dropbox: Initially developed with Python and continues to use Python libraries for its main desktop versions.
BitTorrent: The application, which works based on the torrent protocol, was also created using Python and wxPython.
8. DevOps Automation
ā¹ļø DevOps - streamlining the management of systems through software development and IT processes and automating them to ensure constant and secure system operations.
š According to the Stack Overflow Developer Survey, Python is used in over 35% of DevOps automation tasks. Python is becoming a primary language for scripting, monitoring, log processing, and containerization.
š Python DevOps Automation Opportunities: Tools like Ansible, Fabric, SaltStack, and Chef are widely used for configuring servers and automating processes. Additionally, Python can be used for configuring Docker and Kubernetes.
š» Google: Utilizes numerous Python-based tools for DevOps and system automation. Python is used in creating and managing Google Cloud Platform (GCP) and other internal tools.
Amazon Web Services: AWS provides advanced SDKs for managing and automating cloud services with Python. AWS CLI and Boto3 (Python library) are written in Python.
9. Robotics and Control Systems
ā¹ļø Robotics and Control Systems - creating software to move devices and establish communication with them.
š Python-related robotics repositories on GitHub accounted for over 30,000 repositories in 2023. More than 80% of the world's top 50+ universities in robotics choose Python as their programming language.
š Python Robotics and Control Systems Opportunities: Integration with ROS (Robot Operating System) is widely used in robotics. Libraries like Pygame, OpenCV, and PySerial are helpful for control systems. Pygame is used for creating 2D games, OpenCV is used for image recognition, and PySerial is used for communication with microprocessors.
š» NVIDIA: Uses Python libraries (TensorFlow, PyTorch) to create and apply AI models for robotics and control systems.
Tesla: Utilizes Python libraries for developing control algorithms in automated driving systems.
10. Game Development
ā¹ļø Game Development - the process of creating games that combine graphical interfaces and complex mechanics.
š Specific statistics are hard to find in this field, as languages like C++, C#, and Java dominate. However, Python is actively used and is expected to have a significant impact on AI (Artificial Intelligence) control parts of game development in the future.
š Python Game Development Opportunities: Pygame is very suitable for creating game mechanics and graphical interfaces. Tools like Panda3D and PyOpenGL are used for creating 3D games.
š» Battlefield 2 - This military tactics game used Python for server-side modifications and configurations.
Baba Is You - A puzzle game that used Python for game prototypes.
This article (or rather, this brief piece) aims to provide an understanding of Python's capabilities across various fields. If it has helped you gain insight into these possibilities, I have achieved my goal. In the IT world, choosing any of the 10 areas mentioned above can serve as an introductory and versatile pathway. Certainly, excelling in a single field requires more than just one technology, as each technology has its strengths and weaknesses. However, Python is a great starting point for your first steps. And by the way, that mysterious ingredient Master Oogway mentioned to Po (the panda) was Python šš¤.
note: The article was written with the aid of AI technologies, but the general information was compiled from several websites. The details provided about the example programs have been verified by 90%. Statistical data were also gathered from various platforms that present statistical information and then generalized.
If you enjoyed reading the article and found it valuable, Iām glad!
Translated by ChatGPT