- Python Data Analysis
- Table of Contents
- Python Data Analysis
- Credits
- About the Author
- About the Reviewers
- www.PacktPub.com
- Preface
- 1. Getting Started with Python Libraries
- 2. NumPy Arrays
- The NumPy array object
- Creating a multidimensional array
- Selecting NumPy array elements
- NumPy numerical types
- One-dimensional slicing and indexing
- Manipulating array shapes
- Creating array views and copies
- Fancy indexing
- Indexing with a list of locations
- Indexing NumPy arrays with Booleans
- Broadcasting NumPy arrays
- Summary
- 3. Statistics and Linear Algebra
- 4. pandas Primer
- Installing and exploring pandas
- pandas DataFrames
- pandas Series
- Querying data in pandas
- Statistics with pandas DataFrames
- Data aggregation with pandas DataFrames
- Concatenating and appending DataFrames
- Joining DataFrames
- Handling missing values
- Dealing with dates
- Pivot tables
- Remote data access
- Summary
- 5. Retrieving, Processing, and Storing Data
- Writing CSV files with NumPy and pandas
- Comparing the NumPy .npy binary format and pickling pandas DataFrames
- Storing data with PyTables
- Reading and writing pandas DataFrames to HDF5 stores
- Reading and writing to Excel with pandas
- Using REST web services and JSON
- Reading and writing JSON with pandas
- Parsing RSS and Atom feeds
- Parsing HTML with Beautiful Soup
- Summary
- 6. Data Visualization
- 7. Signal Processing and Time Series
- 8. Working with Databases
- 9. Analyzing Textual Data and Social Media
- 10. Predictive Analytics and Machine Learning
- 11. Environments Outside the Python Ecosystem and Cloud Computing
- 12. Performance Tuning, Profiling, and Concurrency
- A. Key Concepts
- B. Useful Functions
- C. Online Resources
- Index
In this chapter, you learned a lot about NumPy and SciPy subpackages. We went over linear algebra, statistics, continuous and discrete distributions, masked arrays, and random numbers.
In the next chapter, Chapter 4, pandas Primer, we will discover pandas, which is a Python data analysis and manipulation library.
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