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-Python is a high-level, general-purpose language that has a wide range of use cases from the mundanely simple to the increasingly complex.
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-- Glue script?
-- Web crawling?
-- Web server?
-- Testing?
-- Micro-service?
-- Network automation?
-- Data Science?
-- Machine Learning?
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-Python is likely a quick way to get any of these tasks done.
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-Including the abundant number of packages that can be found on Python Package Index, there is likely a package that can help you.
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-Do you want to download a webpage?
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-and then invoke the Python interpreter:
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-Python 3.7.0 (default, Jun 29 2018, 21:56:58)
-[GCC 7.3.0] on linux
-Type "help", "copyright", "credits" or "license" for more information.
->>> import requests
->>> requests.get('https://www.theregister.co.uk/').text
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-After that, there is any number of things that can be done with the results.
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-As you can probably note, the syntax is simple and clean, which makes returning to your code months later less of a jarring experience.
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-Popularity
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-According to Stack Overflow Stats, Python has surpassed C# and PHP in popularity and is the 3rd most loved language, after Rust and Kotlin. Interestingly, it is “the most wanted language” for the second year in a row.
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-Drawbacks
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-Is Python the magical solution to all the world’s problems? No.
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-Python is not very suitable for much of the following:
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-- Static typing
-- Performance-critical application (i.e. graphically-intense video game)
-- Mobile app development
-- Front-end web development
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-Conclusion
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-So should you learn it? or stick with shell scripting?
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-Because of Python’s simple syntax, dynamic typing and abundant Package Index, it makes the language a great asset to have in your toolchain.
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-And it hasn’t hurt that giants like Google, Facebook and Microsoft have invested heavily in Python.
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-Resources
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-This list includes some truly remarkable resources for improving your Python:
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