Free PDF Python For Data Analysis: Master the Basics of Data Analysis in Python Using Numpy, Pandas and IPython (Step-by-Step Tutorial for Beginners)
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Python For Data Analysis: Master the Basics of Data Analysis in Python Using Numpy, Pandas and IPython (Step-by-Step Tutorial for Beginners)
Free PDF Python For Data Analysis: Master the Basics of Data Analysis in Python Using Numpy, Pandas and IPython (Step-by-Step Tutorial for Beginners)
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From the Author
I'm a father, husband, academician, professional developer, and machine learning practitioner. I wrote this tutorial to help you understanding the basics of Data Analysis with Python using some popular librairies like Pandas and Numpy. I hope that this guide will be helpful for you.Samuel Burns
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From the Back Cover
This guide written by Samuel Burns is a  great handbook for anyone looking to manipulate data in Python. It's a good introduction to data analysis using Python, especially with pandas library, NumPy, and Scipy. The book has been grouped into chapters, with each chapter exploring a different aspect of data analysis. The author has provided Python codes for doing different data analysis tasks. All these codes have been tested to ensure they are working correctly. Corresponding explanations have also been provided alongside each piece of code to help the reader understand the meaning of the various lines of the code. In addition to this, screenshots showing the output that each code should return have been given. The author has used a simple language to make it easy even for beginners to understand. The author begins by exploring the basic to the complex tasks in data analysis.
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Product details
Series: Step-by-Step Tutorial for Beginners (Book 1)
Paperback: 196 pages
Publisher: Independently published (March 22, 2019)
Language: English
ISBN-10: 1091253900
ISBN-13: 978-1091253902
Product Dimensions:
6 x 0.4 x 9 inches
Shipping Weight: 12.5 ounces (View shipping rates and policies)
Average Customer Review:
5.0 out of 5 stars
23 customer reviews
Amazon Best Sellers Rank:
#90,143 in Books (See Top 100 in Books)
Good book for beginner-intermediate Python programmers. The Author mainly focuses on data manipulation using pandas, numpy. I found many data manipulation examples to be useful and I find myself browsing it occasionally to see how to do something with pandas. I think it’s a must for anyone using Python for Data Science or related tasks. I highly recommend this book.
This is a great introduction book with carefully selected command line usages, good book. The author extensively covers the most popular libraries like Pandas an Numpy, with a bit of introduction to matplotlib. Good for beginners.
I like this book. The author uses a simple language, better than my teacher).You don't need to be a python expert but some python knowledge, and some experience of R, will definitely help you to follow this small book.
The book is well structured, breaking down the different topics into well defined chapters which deal with topics such as data wrangling, data loading, time series analysis and more.
I find myself very lucky to have this book. It has been well written. The author explains step-step how to manipulate data with NumPy, Pandas and matplotlib libraries.
It is a great book that covers great content. It’s a great introduction to pandas as well as an introduction to Numpy. Great read.I highly recommend it for beginners
Good introduction,really enjoyed this book, it got me quickly started in data analysis in Python using not only pandas but also numpy.
A good introduction to data analysis using python, especially the pandas library and some numpy and scipy.
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