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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

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Product type Course
Published in Mar 2017
Publisher Packt
ISBN-13 9781788290098
Length 866 pages
Edition 1st Edition
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Authors (4):
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Martin Czygan Martin Czygan
Author Profile Icon Martin Czygan
Martin Czygan
Ashish Kumar Ashish Kumar
Author Profile Icon Ashish Kumar
Ashish Kumar
Kirthi Raman Kirthi Raman
Author Profile Icon Kirthi Raman
Kirthi Raman
Phuong Vo.T.H Phuong Vo.T.H
Author Profile Icon Phuong Vo.T.H
Phuong Vo.T.H
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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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