The more data you have to process, the more important it is to manage memory. Python has generators to help in this area, as expressions and functions. Generators iterate through a process of things one item at time. The normal iterative process of lists involves the use of lists, and a list uses a lot of memory. One way to handle long chained processes is to use a generator to grab source data one at a time, and pass each through the processing chain. This comes in handy if you need to migrate data from a website to another, and applications dealing with large sets of data.
Yes, interpreted languages tend to be slow, but Python has made some improvements. PyPy has projects aiming to improve Python speed and performance. Python tools like Numba can speed any project by simply adding decorators to code you already have, and Cython a extension-module generator to translate Python-looking code into C-code that compiles to reasonably fast C-code.
An interesting Quora thread asked question, "What is Python mainly used for in the real world today?” Answers show tasks ranging from automation, web development, testing, and gaming to CGI.
Companies like Google use Python on many of their products, YouTube, Gmail, Google Maps, and etc. NASA uses Python for management of repositories of models. Reddit is written in Python. Dropbox, BitTorrent, Inkscape, GIMP, and other programs use Python.
Ease of Use
It’s very easy to get started with Python. On Mac and Linux you can open up your terminal or on PC open up PowerShell, and type in python to run it. If Python is not recognized on your system you easily download it and install it to your system.
Python has a shallow learning curve because it has little overhead and excess code. It’s easy to grasp complicated concepts due it’s English-like syntax structure. When learning something new, you will always make mistakes. Python makes it easy to identify and fix issues because it displays errors at run time, instead of simply failing to compile the program.
If you have experience in one of these languages, it’s pretty simple to incorporate Python in your work environment.
These are enough reasons to choose Python for your business. If you are just starting your business, and you’re trying stay lean, pick Python to empower business.
Jaime Gabriel Jingco
Software Engineer/ Applied Labs Assistant Instructor