1. About

About

• 1.1. Numpy
• 1.2. Precision
• 1.3. Built-ins

2. Array

Array

• 2.1. Array Create
• 2.2. Array Data Types
• 2.3. Array Shape
• 2.4. Array Attributes
• 2.5. Array Getitem
• 2.6. Array Slice
• 2.7. Array Axis
• 2.8. Array New Axis
• 2.9. Array Random
• 2.10. Array Rounding
• 2.11. Array Sort
• 2.12. Array Methods
• 2.13. Array Concatenation

3. Select

Select

• 3.1. Array Iteration
• 3.2. Array Arithmetic
• 3.3. Array Broadcasting
• 3.4. Array Reduction
• 3.5. Array Logic
• 3.6. Array Select
• 3.7. Advanced Indexing

4. Import & Export

Import & Export

• 4.1. Array Serialize
• 4.2. Data Import and Export

5. Math

Math

• 5.1. Statistics
• 5.2. Trigonometry
• 5.3. Polynomials
• 5.4. Linear Algebra
• 5.5. Performance

6. References

References

NumpyCL19a

Alex Chabot-Leclerc. Introduction to numerical computing with numpy: broadcasting rules. 2019. URL: https://youtu.be/ZB7BZMhfPgk?t=5142 (visited on 2019-11-31).

NumpyCL19b

Alex Chabot-Leclerc. Introduction to numerical computing with numpy: visualizing multi-dimensional arrays. 2019. URL: https://youtu.be/ZB7BZMhfPgk?t=5142 (visited on 2019-12-05).

NumpyWik19a

Wikipedia. Normal distribution. 2019. URL: https://en.wikipedia.org/wiki/Normal_distribution (visited on 2019-10-22).

NumpyWik19b

Wikipedia. Pearson correlation coefficient. 2019. URL: https://en.wikipedia.org/wiki/Pearson_correlation_coefficient (visited on 2019-10-22).

NumpyWik19c

Wikipedia. Poisson distribution. 2019. URL: https://en.wikipedia.org/wiki/Poisson_distribution (visited on 2019-10-22).

NumpyWik19d

Wikipedia. Polynomial. 2019. URL: https://en.wikipedia.org/wiki/Polynomial (visited on 2019-10-22).

NumpyWik20

Wikipedia. Continuous uniform distribution. 2020. URL: https://en.wikipedia.org/wiki/Uniform_distribution_(continuous) (visited on 2020-08-17).