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
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