Python For Data Analysis: Programming

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 analysis today are easily available to anyone to interpret the data and obtain relevant explanations.

Data analysis 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 Analysis you'll learn step by step how to implement data analysis and procedures to extract data correctly.

• what's Data Analysis
• Python For Data Analysis
• Data Aggregation
• Application Of Data Analytic today
• Mathematics For data Analysis
• Data Wrangling
• Scipy, Numpy, Panda

While most books focus on advanced predictive models, this book begins to explain the basic concepts and how to correctly implement Data Analysis and Data Visualization, with practical examples and simple coding scripts.

This guide provides the necessary knowledge in a practical way. You will learn the steps of Data Analysis, how to implement them in Python, and the most important applications in the real world.