Ebook Download , by Samuel Burns
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, by Samuel Burns
Ebook Download , by Samuel Burns
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Product details
File Size: 7667 KB
Print Length: 198 pages
Simultaneous Device Usage: Unlimited
Publication Date: March 19, 2019
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B07PXFJGHT
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Amazon Best Sellers Rank:
#33,462 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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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