Pandas helps to alleviate a genuinely complex situation in data analytics libraries. Many incumbent languages aren’t approachable or are fairly unproductive in general computing tasks in comparison to Python. However with Pandas it’s easy to begin working with tabular datasets in a language that’s easier to learn and use.
Instant Data Intensive Apps with Pandas How-to starts with Pandas’ functionalities such as joining datasets, cleaning data, and other data munging tasks. It quickly moves onto building a data reporting tool, which consists of analysis in Pandas to determine what’s relevant and present that relevant data in an easy-to-consume manner.
Instant Data Intensive Apps with Pandas How-to starts with data manipulation and other practical tasks for a fundamental understanding, and through successive recipes you will gain a more profitable understanding of Pandas.
Throughout this book the recipes are presented in a structured way. It starts with data transformation techniques, but builds up to more complex examples such as performing statistical analysis and integrating Pandas objects with web applications. The other recipes cover visualization and machine learning, among other things.
Instant Data Intensive Apps with Pandas How-to will get the reader up and running quickly with Pandas and put the user in a position to move up the learning curve faster.