Читать книгу SAS Viya - Kevin D. Smith - Страница 3
Contents
ОглавлениеChapter 1: Installing Python, SAS SWAT, and CAS
Chapter 2: The Ten-Minute Guide to Using CAS from Python
Importing SWAT and Getting Connected
Executing Actions on CAS Tables
Chapter 3: The Fundamentals of Using Python with CAS
Chapter 4: Managing Your Data in CAS
Getting Started with Caslibs and CAS Tables
Displaying Data in a CAS Table
Caslib and CAS Table Visibility
Uploading Data Files to CAS Tables
Uploading Data from URLs to CAS Tables
Uploading Data from a Pandas DataFrame to a CAS Table
The Excel Data Message Handler
The PandasDataFrame Data Message Handler
Using Data Message Handlers with Databases
Writing Your Own Data Message Handlers
Chapter 5: The CASAction and CASTable Objects
Getting Started with the CASAction Objects
Setting Parameters as Attributes
Retrieving and Removing Action Parameters
First Steps with the CASTable Object
Manually Creating a CASTable Object
Managing Parameters Using the Method Interface
Managing Parameters Using the Attribute Interface
Materializing CASTable Parameters
Chapter 6: Working with CAS Tables
Using CASTable Objects like a DataFrame
Creating Plots from CASTable Data
Exporting CASTables to Other Formats
Sorting, Data Selection, and Iteration
Fetching Data with a Sort Order
Iterating through Columns and Rows
Techniques for Indexing and Selecting Data
Chapter 7: Data Exploration and Summary Statistics
Summarizing Continuous Variables
Summarizing Categorical Variables
Variable Transformation and Dimension Reduction
Chapter 8: Modeling Continuous Variables
Extensions of Ordinary Linear Regression
Chapter 9: Modeling Categorical Variables
Gradient Boosting, Forests, and Neural Networks
The Pros and Cons of Each Interface
Using Response and Result Callback Functions
Handling Responses from Multiple Sessions Simultaneously
Connecting to Existing Sessions
Appendix A: A Crash Course in Python
Plotting from Pandas DataFrame Methods
Plotting DataFrames with Plotly and Cufflinks
Creating Graphics with Matplotlib
Interactive Visualization with Bokeh
Missing Linux Library Dependencies