Quick start with pandas

Pandas -Python Library for Data Analysis

pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures, and data analysis tools for the Python programming language most commonly used in Data Science and Machine Learning.

Prerequisites

You should have a basic understanding of python programming. Pandas library uses most of the functionalities of NumPy. It is suggested that you go through our tutorial on NumPy before proceeding with this tutorial. You can access it from here -Click here http://www.techitskills.com/post/quick-start-with-numpy/

Best way to Install

The best way to get pandas is via conda

conda install pandas

Packages are available for all supported python versions on Windows, Linux, and MacOS.

Wheels are also uploaded to PyPI and can be installed with

pip install pandas

Pandas Library Highlights

1-A fast and efficient DataFrame object for data manipulation with integrated indexing;

2-Label and Index based slicing, indexing and subsetting of large data sets.

3-Various modules are available for reading and writing data between in-memory data structures and different formats: CSV and text files, Microsoft Excel, SQL databases, and the fast HDF5 format;

4-Easy functions are available to handling of missing data.

5-High performance merging and joining of data.

6-Fast and efficient DataFrame object with the default and customized indexing.

7-Most widely used academic and commercial domains, including Finance, Neuroscience, Economics, Statistics, Advertising, Web Analytics, and more.

Sample Code :

You can access my sample code here. Click here...