Manipulate data like a pro with Pandas

Pandas is a Python library that gives you a rich set of tools to carry out data analysis. It’s no exaggeration to say that if you’re going to work with Machine Learning and Data Analysis in Python, then you need to learn how to use Pandas, which excels at data conversions, selections and manipulations using simple to understand code.

The core elements of Pandas are the DataFrame and Series structures, which are used for data storage because without data you have nothing to process, explore or work with. The Series structure is a one-dimensional labelled array that can hold any kind of data, whereas the DataFrame structure is a two-dimensional and size-mutable data structure. Before we see these two data structures in action, we need to learn how to install Pandas.

Installing Pandas

Although you can install on its own, the recommended way is under the Anaconda environment. Installing Anaconda () on an Arch Linux system is as simple as running the pacman -S anaconda command with root privileges – use your favourite package manager for installing Anaconda on your own Linux system. You can operate Anaconda using the command line utility once Anaconda is