Synopsis
Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. 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 shell as your primary development environment
- Learn basic and advanced NumPy (Numerical Python) features
- Get started with data analysis tools in the pandas library
- Use high-performance tools to load, clean, transform, merge, and reshape data
- Create scatter plots and static or interactive visualizations with matplotlib
- Apply the pandas groupby facility to slice, dice, and summarize datasets
- Measure data by points in time, whether it’s specific instances, fixed periods, or intervals
- Learn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples
"synopsis" may belong to another edition of this title.
About the Author
Wes McKinney is the main author of pandas, the popular open source Python library for data analysis. Wes is an active speaker and participant in the Python and open source communities. He worked as a quantitative analyst at AQR Capital Management before founding an enterprise data analysis company, Lambda Foundry, in 2012. He graduated from MIT with an S.B. in Mathematics.
"About this title" may belong to another edition of this title.
Search results for Python for Data Analysis
Stock Image
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Seller: HPB-Red, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_443616957
Stock Image
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Seller: HPB-Red, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_423092355
Seller Image
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Seller: Goodwill Books, Hillsboro, OR, U.S.A.
Seller rating 5 out of 5 stars
Condition: acceptable. Fairly worn, but readable and intact. If applicable: Dust jacket, disc or access code may not be included. Seller Inventory # GICWV.1449319793.A
Seller Image
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Seller: Scissortail, Oklahoma City, OK, U.S.A.
Seller rating 5 out of 5 stars
Condition: good. This is a pre-loved book that shows moderate signs of wear from previous reading. You may notice creases, edge wear, or a cracked spine, but it remains in solid, readable condition.Please note:-May include library or rental stickers, stamps, or markings.-Supplemental materials e.g., CDs, access codes, inserts are not guaranteed.-Box sets may not come with the original outer box. If it does, the box will not be in perfect condition. -Sourced from donation centers; authenticity not verified with publisher. Your satisfaction is our top priority! If you have any questions or concerns about your order, please don't hesitate to reach out. Thank you for shopping with us and supporting small businessâ"happy reading! Seller Inventory # STM.42Z
Stock Image
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Seller: tttkelly1, Fresno, TX, U.S.A.
Seller rating 3 out of 5 stars
paperback. Condition: Very Good. Paperback book, Seller Inventory # 2602250029
Seller Image
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Seller: Goodwill of Silicon Valley, SAN JOSE, CA, U.S.A.
Seller rating 4 out of 5 stars
Condition: good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear. Seller Inventory # GWSVV.1449319793.G
Stock Image
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Seller: Half Price Books Inc., Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_455177325
Stock Image
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Seller: HPB-Diamond, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_458600532
Seller Image
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Seller: Solr Books, Lincolnwood, IL, U.S.A.
Seller rating 5 out of 5 stars
Condition: very_good. This books is in Very good condition. There may be a few flaws like shelf wear and some light wear. Seller Inventory # BCV.1449319793.VG
Stock Image
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Seller: HPB Inc., Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_460856142