Cross-platform. General-purpose. High-level.
As such, the programming language has numerous applications and has been widely adopted by all sorts of communities, from data science to business.
These communities value Python for its precise and efficient syntax, relatively flat learning curve, and good integration with other languages (e.g. C/C++).
The language’s popularity has resulted in a wide range of Python packages being produced for data visualization, machine learning, natural language processing, complex data analysis, and more.
Learn why Python is the perfect choice for data science and discover 40 best scientific libraries that Python has to offer.