Why would anyone use Python Pandas?

Have you ever struggled to fit a procedural idea into a SQL query or wished SQL had functions like gaussian random number generation or quantiles? read more

Read JSON with Pandas Python. Write JSON with Pandas. Read Excel data with Python Pandas. Read XML data and save it with spreadsheet form. Visualize the data extracted with help of plotting library - matplotlib. Read CSV data with Python Pandas. These are just some of the example tasks that Python Pandas can do. You can do a lot more with IPython. read more

Python Data Analysis Library¶ 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. pandas is a NUMFocus sponsored project. read more

SQL - use it mainly for data access. Python (vanilla) - use it mainly for data transformation. Pandas, IPython, Excel, R, OLAP Tools, etc - use it mainly for data analysis. Of course, each of these tools can do more than just one job, and is sometimes the best tool for one of the other areas. read more