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Pandas for everyone : Python data analysis /
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 da...
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| Format: | Printed Book |
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Noida:
Pearson,
2018.
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| Series: | The Pearson Addison-Wesley data and analytics series
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| Subjects: |
Table of Contents:
- 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.