Perfect for IT, Python simplifies many kinds of work, from system automation to working in cutting-edge fields like machine learning
In IT, it’s hard to completely avoid writing programs, even if they’re
just small ones. But not all IT folks also want to be developers, and
the overhead involved in learning and getting proficient with a language
can be huge. For many languages, it takes a lot of code—and a lot of
time—to write code to do even simple things.
Python makes programming work easy and fast, with
English-like code that makes it both simple to write and simple to
comprehend. Libraries provided with the language, and available
separately, make it easy to accomplish things that would normally
require a lot of manual work—managing VMs and containers, making APIs
for web services, modifying network settings, and many other high-level
jobs IT professionals have to deal with on a daily basis.
Python has also become a language of choice for simplifying complicated jobs in many other fields—for example, scientific and statistical work, as well as creating machine learning applications.
Because Python is easy and fast to write, that saves developer time, although this typically comes at the cost of execution time. The same programs in other languages—like C, C++, and Java—may take longer to put together, but they typically run many times faster than a Python app.
But Python can also run fast when it needs to, because many third-party libraries for Python are written in faster languages like C. All Python has to do is plug into such a library, and it can run at or close to the speed of those languages when performance matters.
Mastering new things in IT is always tricky, whether it’s containerization, devops, or extracting a little meaning from a lot of data. Python is designed to give you a leg up on getting all those things done, both now and into the future.
Source:
https://www.infoworld.com/article/3218069/application-development/how-python-makes-programming-simple.html
Python has also become a language of choice for simplifying complicated jobs in many other fields—for example, scientific and statistical work, as well as creating machine learning applications.
Because Python is easy and fast to write, that saves developer time, although this typically comes at the cost of execution time. The same programs in other languages—like C, C++, and Java—may take longer to put together, but they typically run many times faster than a Python app.
But Python can also run fast when it needs to, because many third-party libraries for Python are written in faster languages like C. All Python has to do is plug into such a library, and it can run at or close to the speed of those languages when performance matters.
Mastering new things in IT is always tricky, whether it’s containerization, devops, or extracting a little meaning from a lot of data. Python is designed to give you a leg up on getting all those things done, both now and into the future.
Source:
https://www.infoworld.com/article/3218069/application-development/how-python-makes-programming-simple.html
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