You might be thinking, isn’t a language like PHP better suited for the job? To some, it might be, but it doesn’t preclude Python developers from handling data visualization.
Let’s find out if Python is the right tool to help your company visualize its data.
The problems with Python
First, let’s address data visualization phone number list weaknesses. First off, it doesn’t have nearly the powerful visualization libraries or frameworks of PHP. It has some, but they aren’t quite as strong. You have Matplotlib, which has a strange syntax. There’s also Seaborn, which is a slight improvement over Matplotlib. Pyplot is good, but it’s a commercial option. And Bokeh is really heavy for a library.
The advantages of Python
That doesn’t mean, however, you while both approaches have their benefits should overlook (or its libraries) for data visualization. Let’s take a look at what makes it a solid option.
It’s open-source
Because Python is open source you can easily extend it. In fact, developers are always creating new features and libraries to the point where you’ll find packages for nearly every task. This also means Python is free and easily accessible to anyone who needs it.
Python is easy to learn
Because is so easy to learn, your developers won’t have much trouble at all in getting up to speed with integrating the language into a data visualization system.
Database connectivity
One very big upside to is that it can calling list be connected to nearly any file and/or database system. That means no matter what system was used to collect your data, it can most likely be used with.