In this entry, I will quickly introduce the Series. It is the most simple structure provided by Pandas, and it can be thought of as a column in an excel spreadsheet.
In this entry, I will do a brief introduction to Pandas, a library that I have been using the last year for my data analysis needs.
Pandas brings the simplicity and elegance of Python to data analysis. It is part of the Scipy collection of libraries, that include other libraries for scientific computation.
Python is a great programming language for several diverse purposes. One of the things that make it so good is the number and diversity of libraries available. This is also a curse sometimes; because the installation of these libraries over a vast number of scenarios (different OSs, devices, etc) may give place to unexpected, headache-giving problems. To solve this several solutions have been adopted; but in order to use them, it is recommendable to plan before installing. Here, I will review the main options for installing Python in your system, reviewing the advantages of each one.