Pandas for everyone : Python data analysis / Daniel Y. Chen.
By: Chen, Daniel Y [author.].
Series: Addison-Wesley data and analytics series: Publisher: Boston : Addison-Wesley, ©2018Description: xxix, 376 pages : illustrations ; 24 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9780134546933.Subject(s): Data mining | Python (Computer program language) | Data mining | Python (Computer program language) | Data mining | Python (Computer program language)Genre/Form: Print books.| Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|
| On Shelf | QA76.9.D343 C4573 2018 (Browse shelf) | Available | AU00000000013082 |
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| QA76.9 .D343 2021 Data pipelines with Apache Airflow / | QA76.9.D343 B54 2017 Machine learning for data streams : with practical examples in MOA / | QA76.9.D343 B69 2020 Machine learning with Spark and Python : essential techniques for predictive analytics / | QA76.9.D343 C4573 2018 Pandas for everyone : Python data analysis / | QA76.9.D343 C54 2016 Introducing data science : big data, machine learning, and more, using Python tools / | QA76.9.D343 E24 2014 Reality mining : using big data to engineer a better world / | QA76.9 .D343 E74 2018 Confident data skills : master the fundamentals of working with data and supercharge your career / |
Includes index.
Pandas dataframe basics -- Pandas data structures -- Introduction to plotting -- Data assembly -- Missing data -- Tidy data -- Data types -- Strings and text data -- Apply -- Groupby operations : split-apply-combine -- The datetime data type -- Linear models -- Generalized linear models -- Model diagnostics -- Regularization -- Clustering -- Life outside of pandas -- Toward a self-directed learner.
Today, analysts must manage data characterized by extraordinary variety, velocity, and volume. Using the open source Pandas library, you can use Python to rapidly automate and perform virtually any data analysis task, no matter how large or complex. Pandas can help you ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Pandas for Everyone brings together practical knowledge and insight for solving real problems with Pandas, even if you're new to Python data analysis. Daniel Y. Chen introduces key concepts through simple but practical examples, incrementally building on them to solve more difficult, real-world problems.