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Python: Data Analytics and Visualization

You're reading from Python: Data Analytics and Visualization Perform data processing and analysis with the help of python libraries, gain practical insights into predictive modeling and generate effective results in a variety of visually appealing charts using the plotting packages in Python

Product type Course

Published in Mar 2017

Publisher Packt

ISBN-13 9781788290098

Length 866 pages

Edition 1st Edition

Languages

Python

Tools

NumPy

Concepts

Data Analysis

Authors (4):

Martin Czygan

Phuong Vo.T.H

Ashish Kumar

Kirthi Raman

View More author details

Table of Contents (6) Chapters

Preface

1. Module 1 FREE CHAPTER

2. Module 2

3. Module 3

Bibliography

Index

Chapter 3. Getting Started with the Python IDE

Python is a widely used programming language that has been around for over 20 years. Among many other things, this language is quite popular for its simplicity and dynamic typing. Type(datum) dynamically determines the type of the data object. It has a syntax that allows programmers to write a very few lines of code. Python supports multiple programming paradigms that include functional, object-oriented, and procedural styles.

Python interpreters are available on almost every operating system that is in use. Its built-in data structures combined with dynamic binding make it very attractive to use as a high performance language to connect the existing manipulative components quickly. Even in distributed applications, Python is used as a glue in conjunction with Hive (NoSQL) to accomplish something very quick and efficient. Python, which is powerful and popular in the software development community, needs an interactive environment to...

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Authors (4)

Martin Czygan

Martin Czygan

Martin Czygan studied German literature and computer science in Leipzig, Germany. He has been working as a software engineer for more than 10 years. For the past eight years, he has been diving into Python, and is still enjoying it. In recent years, he has been helping clients to build data processing pipelines and search and analytics systems.

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Phuong Vo.T.H

Phuong Vo.T.H

Phuong Vo.T.H has a MSc degree in computer science, which is related to machine learning. After graduation, she continued to work in some companies as a data scientist. She has experience in analyzing users' behavior and building recommendation systems based on users' web histories. She loves to read machine learning and mathematics algorithm books, as well as data analysis articles.

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Ashish Kumar

Ashish Kumar

Ashish Kumar is a seasoned data science professional, a publisher author and a thought leader in the field of data science and machine learning. An IIT Madras graduate and a Young India Fellow, he has around 7 years of experience in implementing and deploying data science and machine learning solutions for challenging industry problems in both hands-on and leadership roles. Natural Language Procession, IoT Analytics, R Shiny product development, Ensemble ML methods etc. are his core areas of expertise. He is fluent in Python and R and teaches a popular ML course at Simplilearn. When not crunching data, Ashish sneaks off to the next hip beach around and enjoys the company of his Kindle. He also trains and mentors data science aspirants and fledgling start-ups.

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Kirthi Raman

Kirthi Raman

Kirthi Raman is currently working as a lead data engineer with Neustar Inc, based

See other products by Kirthi Raman

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