Author: Wes McKinney
Edition: 1
Binding: Kindle Edition
ISBN: B009NLMB8Q
Edition: 1
Binding: Kindle Edition
ISBN: B009NLMB8Q
Python for Data Analysis
Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. Download Python for Data Analysis from rapidshare, mediafire, 4shared. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you'll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.
Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It's ideal for analysts new to Python and for Python programmers new to scientific computing.
Use the IPython interactive sh Search and find a lot of computer books in many category availabe for free download.
Python for Data Analysis Free
Python for Data Analysis computer books for free. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you'll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.
Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies
Use the IPython interactive sh
Related education books
Think Complexity
Expand your Python skills by working with data structures and algorithms in a refreshing context-through an eye-opening exploration of complexity science. Whether you're an intermediate-level Python programmer or a student of computational modeli
SciPy and NumPy
Are you new to SciPy and NumPy? Do you want to learn it quickly and easily through examples and a concise introduction? Then this is the book for you. You'll cut through the complexity of online documentation and discover how easily you can get up
Think Stats
If you know how to program, you have the skills to turn data into knowledge using the tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with progr
Think Python
If you want to learn how to program, working with Python is an excellent way to start. This hands-on guide takes you through the language one step at a time, beginning with basic programming concepts before moving on to functions, recursion, data str
No comments:
Post a Comment