Computer Science with Applications
Preface
1. Getting Started
2. Data Structures
3. Functional Programming and Recursion
4. Working with Data
4.1. Working with Files
4.2. NumPy
4.3. The pandas library
Computer Science with Applications
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4.
Working with Data
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4.
Working with Data
4.1. Working with Files
4.1.1. Basic file I/O
4.1.2. Writing data to a file
4.1.3. CSV
4.1.4. JSON
4.1.5. YAML
4.2. NumPy
4.2.1. Importing NumPy
4.2.2. Creating arrays
4.2.3. Array indexing and slicing
4.2.4. Operations on arrays
4.2.5. Reshaping arrays
4.2.6. Reductions
4.2.7. Fancy indexing
4.2.8. Advanced topics
4.3. The pandas library
4.3.1. DataFrames
4.3.2. A note about missing values
4.3.3. Series
4.3.4. Filtering
4.3.5. Grouping
4.3.6. Pivoting
4.3.7. Saving space with Categoricals
4.3.8. Summary