Python's native libraries are small and concise, while still offering a wide variety of features you would expect in a modern programming language. Their processors are simple and slow, designed to do a minimal number of tasks. They don't have the large-capacity RAM and hard disk drives of our computers.
#CBT NUGGETS PYTHON CODE#
We also run code on various household devices, including cars, refrigerators, and even lightbulbs! These consumables often need to be made as physically small and inexpensively as possible.
We write and run code on tablets and smartphones, Chromebooks, and iPads. In a modern setting, the devices we deploy code to are no longer limited to desktop and laptop computers. That code cleanliness helps developers focus on what the code needs to accomplish functionally, without spending too much time on the boring under-the-hood stuff that helps make it work. Even if you've never written a line of code before in your life, you can probably guess what this will do (it will print the words "Hello, world!" onto the screen). The above line of code, a single line, is a Python program in its entirety. At the same time, Python allows us to write simpler, cleaner syntax with more dependable results. More complex programming languages may offer us extra flexibility and power by putting those things in our hands. Automated memory management, garbage collection, and dynamic name resolution are all Python features that the interpreter takes for us, without any additional coding on our end. Python's clean syntax and heavily opinionated run-time environment handle much of the dirty grunt work for us. Finally, its lack of native run-time compilation means that Python can target a wide variety of platforms with little to no additional work on a developer's part. That includes embedded devices where resources are highly constrained. Without the overweight libraries that back up C# and Java, Python is deployable to a wide variety of environments and platforms. Python's syntax is much cleaner and easier to pick up for new and experienced programmers, without complicated pointers and memory management. It's those things I just mentioned that make it SO popular. It doesn't even compile natively to your system for the most efficient run speed.
It doesn't contain the powerful memory management features of a language like C, nor does it have the robust object-oriented interface requirements of Java or C#.
Python has been around since 1991 and its most recent version, 3.0, since 2008.
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