Python
Python is a popular general-purpose programming language that is widely used for web development, data analysis, scientific computing, and machine learning applications. It was first released in 1991 and has since become one of the most widely-used programming languages, with a strong community of developers and a large ecosystem of libraries and frameworks
PROS
- Python is well-suited for handling heavy computational tasks and scientific computing
- The language is known for its simplicity, readability, and ease of use. Python has a relatively simple syntax that is easy for new developers to learn
- It has a large ecosystem of libraries and frameworks that make it easy to build complex applications
- It also has a large and active community of developers to offer support and troubleshooting
- It is open-source and free to use, making it accessible to developers of all backgrounds
CONS
- While Python is a powerful language, it is not always the most performant. Applications that require high levels of performance may need to be written in another language
- Global Interpreter Lock (GIL) is a feature of Python that can limit performance in multi-threaded applications
- Packaging and distributing Python applications can be challenging due to the complexity of dependencies and versioning
- Data analysis and machine learning applications, such as those used in finance, healthcare, and social media, are often built using Python
- Scientific computing and research applications, such as those used in biology, chemistry, and physics, use Python for numerical analysis, data visualization, and simulation
- Web development frameworks, such as Django and Flask, are built using Python
Instagram’s backend is built using Python and Django along with machine learning algorithms. Dropbox’s desktop client is written in Python. YouTube’s recommendation algorithm is built using Python and machine learning. NASA’s Jet Propulsion Laboratory uses Python for scientific computing and data analysis in its missions. The Large Hadron Collider (LHC) at CERN uses Python for data analysis and simulation
