"Python is a powerful modern computer programming language."
It bears some similarities to Fortran, one of the earliest programming languages, but it is much more powerful than Fortran. Python allows you to use variables without declaring them (i.e., it determines types implicitly), and it relies on indentation as a control structure. You are not forced to define classes in Python (unlike Java) but you are free to do so when convenient.
Python was developed by Guido van Rossum, and it is free software. Free as in “free beer,” in that you can obtain Python without spending any money. But Python is also free in other important ways, for example you are free to copy it as many times as you like, and free to study the source code, and make changes to it. There is a worldwide movement behind the idea of free software, initiated in 1983 by Richard Stallman.
Previous exposure to computer programming, although some such exposure would certainly be helpful. Python is a good choice for mathematical calculations, since we can write code quickly, test it easily, and its syntax is similar to the way mathematical ideas are expressed in the mathematical literature. By learning Python you will also be learning a major tool used by many web developers.
If you use Mac OS X or Linux, then Python should already be installed on your computer by default. If not, you can download the latest version by visiting the Python home page, at http: //www.python.org, where you will also find loads of documentation and other useful information. Windows users can also download Python at this website.
Learning Python basics is a piece of cake, it is extremely simple to get up and running with Python. Basics like variables, operators and control structures are extremely easy to learn as opposed to other languages like Java.
Learned about the Numpy and Pandas library which are extensively used to perform data analysis with Python. If you aspire to be a data analyst/ data scientist we would say that you must focus on learning the basics well. You can learn how to read data from an excel/ CSV file and visualise the same data on a chart. In the process, you'll be learning about Jupyter notebooks which is an excellent IDE for data visualisation with Python.