PACK | Mastering Python Data Analysis (2016 EN)

Author: Magnus Vilhelm Persson, Luiz Felipe Martins
Full Title: Mastering Python Data Analysis
Publisher: Packt Publishing (July 6, 2016)
Year: 2016
ISBN-13: 9781783553297 (978-1-78355-329-7)
ISBN-10: 1783553294
Pages: 284
Language: English
Genre: Programming
File type: EPUB (True)
Quality: 10/10
Price: 34.99 €


Python, a multi-paradigm programming language, has become the language of choice for data scientists for data analysis, visualization, and machine learning. Ever imagined how to become an expert at effectively approaching data analysis problems, solving them, and extracting all of the available information from your data? Well, look no further, this is the book you want!

Through this comprehensive guide, you will explore data and present results and conclusions from statistical analysis in a meaningful way. You’ll be able to quickly and accurately perform the hands-on sorting, reduction, and subsequent analysis, and fully appreciate how data analysis methods can support business decision-making.

You’ll start off by learning about the tools available for data analysis in Python and will then explore the statistical models that are used to identify patterns in data. Gradually, you’ll move on to review statistical inference using Python, Pandas, and SciPy. After that, we’ll focus on performing regression using computational tools and you’ll get to understand the problem of identifying clusters in data in an algorithmic way. Finally, we delve into advanced techniques to quantify cause and effect using Bayesian methods and you’ll discover how to use Python’s tools for supervised machine learning.


What You Will Learn:
✓ Install and run the Jupyter Notebook system on your machine
✓ Implement programming languages such as R, Python, Julia, and JavaScript with Jupyter Notebook
✓ Use interactive widgets to to manipulate and visualize data in real time
✓ Start sharing your Notebook with colleagues
✓ Invite your colleagues to work with you in the same Notebook
✓ Organize your Notebook using Jupyter namespaces
✓ Access big data in Jupyter

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