Book Description O'Reilly Media, Condition: New. Seller Inventory mon More information about this seller Contact this seller. Brand New!.
Python for Data Analysis (2nd ed.)
Seller Inventory VIB Never used!. Seller Inventory P Ships with Tracking Number! Buy with confidence, excellent customer service!. Seller Inventory n. McKinney, Wes. Publisher: O'Reilly Media , This specific ISBN edition is currently not available. View all copies of this ISBN edition:. Synopsis About this title Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python.
Search for. Advanced Search.
Logged In As. Get a library card. Download and Stream. Lifelong Learning. Featured Resources. Hoopla: Streaming media. RB Digital: Digital magazines.noroi-jusatsu.info/wp-content/2020-09-11/104-materiel-pour.php
Python for data analysis : : data wrangling with pandas,
Featured Resources for Kids. Overdrive for Kids. TumbleBooks: Digital media for kids. National Geographic for Kids. FLC Libraries. Longmont Public Library. Average Rating. McKinney, Wes,. On Shelf.
Boulder Main Adult NonFiction. Quick Copy View. Place Hold.
Add a Review. Add To List. Other Locations. Use the IPython shell and Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy Numerical Python Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples.
Also in This Series. More Like This.
Other Editions and Formats. Choose a Format. See Full Copy Details. Date Edition Publisher Phys Desc. Language Availability O'Reilly Media, Inc. English On Shelf.
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
More Info Place Hold. Available Online. Online OverDrive Collection.