Python Data Science Handbook: Essential Tools for Working with Data
Product ID: 452746816
Desertcart purchases this item on your behalf and handles shipping, customs, and support to Morocco.
Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all—IPython, NumPy, pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find the second edition of this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you'll learn how: IPython and Jupyter provide computational environments for scientists using Python NumPy includes the ndarray for efficient storage and manipulation of dense data arrays Pandas contains the DataFrame for efficient storage and manipulation of labeled/columnar data Matplotlib includes capabilities for a flexible range of data visualizations Scikit-learn helps you build efficient and clean Python implementations of the most important and established machine learning algorithms
| Dimensions | 6.9 x 1.3 x 9.1 inches |
| Edition | 2nd |
| Isbn 10 | 1098121228 |
| Isbn 13 | 978-1098121228 |
| Item Weight | 2.31 pounds |
| Language | English |
| Print Length | 588 pages |
| Publication Date | January 17, 2023 |
| Publisher | O'Reilly Media |
User
Amazing book!
I love every chapter. It has raised my abilities in using data science, allowing me to demystify data more thoroughly!
User
Awesome Book
Very useful book. It was exactly what I was looking for.
User
Just what I was looking for
Good
User
Figures are wrong in the Kindle version
Through Chapter 11 so far and the Figures are frequently very wrong. There seem to be a couple other minor errors, but this desperately needs an update for the Kindle version. Content otherwise seems good so far, so hope this gets fixed.Update: Just after I entered this, the figures seem to have been updated. Checked 4 and all are fixed, so moved the rating up one and will update when through all chapters.
User
The best python data science book.
Covers all the essentials very clearly.
User
Amazing quality!
Excellent condition! Highly recommend this seller 10/10
User
Printed in black and white! Do not buy
Here we have a book with a bunch of color-coded plots, but the whole thing is printed in black and white. The content is good, but on the whole 2/10 would not recommend.
User
Why in black and white!?
A major section of this book is on data visualization, where it discusses how to set the color of data points, as well as how to make certain color gradients. Why then would the publisher choose to print these sections in black and white. Some of the figures are proved pointless as you can't even see what the author is trying to convey. Really disappointed with that section of this book.
User
Very good introduction to Data Sciene & Classical Machine Learning
I really liked this book with the structured approach to introduction. All important topics are covered. There are some good tips. The chapter on classical machine learning covers all the important methods that can already be used in practice.
User
役に立つ
役に立つ情報がいっぱいあるから、お勧めです
User
Um excelente livro
Muito bem escrito, detalhado com exemplos práticos e completos! Perfeito
User
Black and white book
It’s a bit disappointment that a 70€ book doesn’t include graphs in color.
User
Excelente libro
Material y ejercicios prácticos para implementar en python
Trustpilot
1 week ago
3 weeks ago