Python For Data Analysis: A Beginner's Guide to Learn Data Analysis with Python Programming. - Hardcover
Inhaltsangabe
Do you Want to learn more about Python Data ysis ?.... then read on.
Businesses, governments, and organizations all need data for some reason. Data today is an opportunity to understand their current situation and use it to prepare for the unknown. The techniques used in data ysis today are easily available to anyone to interpret the data and obtain relevant explanations.
Data ysis requires a detailed understanding of the operation of the computers, peripherals, and software in question. The objective is to give the reader the knowledge necessary to familiarize themselves with the Python language by orienting the problem so as to focus on the functioning of these objects. This book was written with the desire to be accessible to everyone and the conviction that a "democratization" of the understanding of the computer tool is now essential.
This book offers a detailed approach: it begins with an introduction to the Python language and then presents how to use it to retrieve and manipulate the data produced by our computers. The authors thus deal with various themes ranging from the inspection of the process RAM, to the internal functioning of mainstream software or to the extraction of web browser history.
Different tools are studied: from the most basic to the most recent technologies such as machine learning with scikit-learn and its ecosystem resulting from scientific computing.ompiles (if there is no updated bytecode on disk), and runs on the Python virtual machine.
With Python for Data ysis you'll learn step by step how to implement data ysis and procedures to extract data correctly.
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