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Python is a high-level language, so it's not suitable for system-level programming - device drivers or OS kernels are straight out.It's also not ideal for situations that call for cross-platform standalone binaries.This simplicity makes Python an ideal teaching language, and allows newcomers to pick it up quickly.Developers spend more time thinking about the problem they're trying to solve, and less time thinking about language complexities or deciphering code left by others. Python is both popular and widely used, as the high rankings in surveys like the Tiobe Index and the large number of Git Hub projects using Python attest.Its use in data science and machine learning is in this vein, but that's just one incarnation of the general idea.Also worth noting are the sorts of tasks Python is not well-suited for.Python isn't just a replacement for shell scripts or batch files, but is also used to automate interactions with web browsers or application GUIs or system provisioning and configuration in tools such as Ansible and Salt.But scripting and automation represent only the tip of the iceberg with Python.
Python's success revolves around several advantages it provides for beginners and experts alike: Python is easy to learn.
Python may not be the fastest language, but what it lacks in speed, it makes up for in versatility. Even though scripting and automation cover a large chunk of Python's use cases (more on that below), Python is also used to build robust, professional-quality software, both as standalone applications and as web services.
The most basic use case for Python is as a scripting and automation language.
De Nederlander Guido van Rossum bedacht Python in 1991, en daarmee is het een relatief nieuwe programmeertaal.
Vanaf het begin werd bleek Python een gat op te vullen, een manier om scripts te schrijven die 'het saaie werk te automatiseren', zoals een populair boek over Python het beschreef.
You could build a standalone Python app for Windows, Mac, and Linux, but not elegantly or simply.