Numpy

Introduction to Numpy

Prerequisites
The Basics
- An example
- Array Creation
- Printing Arrays
- Basic Operations
- Universal Functions
- Indexing, Slicing and Iterating
Shape Manipulation
- Changing the shape of an array
- Stacking together different arrays
- Splitting one array into several smaller ones
Copies and Views
- No Copy at All
- View or Shallow Copy
- Deep Copy
- Functions and Methods Overview
Less Basic
- Broadcasting rules
Fancy indexing and index tricks
- Indexing with Arrays of Indices
- Indexing with Boolean Arrays
- The ix_() function
- Indexing with strings
Linear Algebra
- Simple Array Operations
Tricks and Tips
- “Automatic” Reshaping
- Vector Stacking
- Histograms
- Further reading

Name		Name	Last commit message	Last commit date
Latest commit History 32 Commits
pic		pic
plot		plot
.gitignore		.gitignore
1.Array-Intro.ipynb		1.Array-Intro.ipynb
2.Arange.ipynb		2.Arange.ipynb
2a. Arange-Oscillation.ipynb		2a. Arange-Oscillation.ipynb
2b. Arange-Wave.ipynb		2b. Arange-Wave.ipynb
2c. Arange-FourierSeries.ipynb		2c. Arange-FourierSeries.ipynb
3. Meshgrid.ipynb		3. Meshgrid.ipynb
3a. Meshgrid-SphericalHrmonics.ipynb		3a. Meshgrid-SphericalHrmonics.ipynb
3b. Meshgrid-OptimizationExample.ipynb		3b. Meshgrid-OptimizationExample.ipynb
3c. Meshgrid-SimulationExample.ipynb		3c. Meshgrid-SimulationExample.ipynb
4. Algebra.ipynb		4. Algebra.ipynb
4a. Algebra-QuantumMechanics.ipynb		4a. Algebra-QuantumMechanics.ipynb
4b. Algebra-CompositeHamiltonian.ipynb		4b. Algebra-CompositeHamiltonian.ipynb
5. Statistics.ipynb		5. Statistics.ipynb
5a. Statistics-Probability.ipynb		5a. Statistics-Probability.ipynb
5b. Statistics-Smpling.ipynb		5b. Statistics-Smpling.ipynb
README.md		README.md
computing.png		computing.png

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