Python: Data Analytics and Visualization

✍ Scribed by Czygan, Martin;Kumar, Ashish;Vo.t.h, Phuong

Publisher: Packt Publishing
Year: 2017
Tongue: English
Category: Library

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✦ Synopsis

Understand, evaluate, and visualize data

About This Book

Learn basic steps of data analysis and how to use Python and its packages

A step-by-step guide to predictive modeling including tips, tricks, and best practices

Effectively visualize a broad set of analyzed data and generate effective results

Who This Book Is For

This book is for Python Developers who are keen to get into data analysis and wish to visualize their analyzed data in a more efficient and insightful manner.

What You Will Learn

Get acquainted with NumPy and use arrays and array-oriented computing in data analysis

Process and analyze data using the time-series capabilities of Pandas

Understand the statistical and mathematical concepts behind predictive analytics algorithms

Data visualization with Matplotlib

Interactive plotting with NumPy, Scipy, and MKL functions

Build financial models using Monte-Carlo simulations

Create directed graphs...

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