Python for Data Analysis: Data Wrangling with Pandas, NumPy…
Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python.
Python for Data Analysis: Data Wrangling – Paperback, by McKinney Wes – Like New
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython by McKinney, Wes Description: It’s a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython – VG
This Book is in Very Good Condition. Unmarked Clean Copy with Light Amount of Wear. Ships Same Day or Next with Tracking!
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython – p…
You are purchasing a Very Good copy of ‘Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython’. Condition Notes: Book is in very good condition and may include minimal underlining highlighting.
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Title : Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython. Product Category : Books. A clean, cared for item that is unmarked and shows limited shelf wear. Pages : 547. About Jenson Online.
Python for Data Analysis : Data Wrangling with Pandas, NumPy, and IPython by Wes
The product is a textbook titled “Python for Data Analysis : Data Wrangling with Pandas, NumPy, and IPython” by Wes McKinney. It is published by O’Reilly Media, Incorporated in 2017. The book covers subjects such as Data Modeling & Design, Data Processing, Databases, and programming in Python. It is a trade paperback written in English, with 547 pages in total.
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
You are purchasing a Good copy of ‘Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython’.
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
You are purchasing a Very Good copy of ‘Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython’. Condition Notes: Gently read. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp.
Python for Data Analysis : Data Wrangling with Pandas, NumPy, and IPython
There are minimal markings and highlighting in this text. “Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython” by Wes McKinney is a comprehensive textbook published by O’Reilly Media in 2017. This 547-page trade paperback covers a range of topics related to data modeling, processing, and mining, with a focus on using Python programming language. The book provides in-depth coverage of popular Python libraries such as Pandas, NumPy, and IPython, making it an essential resource for data analysts and professionals looking to enhance their skills in data analysis and manipulation using Python.
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
The product is a textbook titled “Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython” written by Wes McKinney. It focuses on the subject areas of Computers, particularly Data Modeling & Design, Data Processing, and Python programming. Published by O’Reilly Media in 2017, the book is 547 pages long and provides comprehensive guidance on using Pandas, NumPy, and IPython for data manipulation and analysis. It is presented in English in trade paperback format, measuring 9.2 inches in length, 7 inches in width, and 1.3 inches in height, with a weight of 33.2 ounces. THIS BOOK KS FREE FROM HIGHLIGHTING, UNDERLINING, OR WRITING OF ANY KIND. CONDITION IS VERY GOOD.