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Data and databases

NumPy & SciPy for Scientific Computing

The planned outline of 17 modules. Lessons are written, run and reviewed before they are published.

Coming soon 17 modules

Coming soon. This track is being written. Below is its planned outline: a lesson appears here once its examples have been run and its technical review is signed off.

Before this track

Planned outline

  1. Module 1

    Orientation: arrays, versions and runtimes

    Coming soon
  2. Module 2

    Indexing, reshaping and vectorised operations

    Coming soon
  3. Module 3

    Broadcasting and tensor operations

    Coming soon
  4. Module 4

    Data types, memory and precision

    Coming soon
  5. Module 5

    Random numbers and simulation

    Coming soon
  6. Module 6

    Linear algebra in practice

    Coming soon
  7. Module 7

    Fourier transforms and spectral analysis

    Coming soon
  8. Module 8

    Signal processing with scipy.signal

    Coming soon
  9. Module 9

    Optimisation with scipy.optimize

    Coming soon
  10. Module 10

    Integration and differential equations

    Coming soon
  11. Module 11

    Interpolation and approximation

    Coming soon
  12. Module 12

    Sparse matrices and graphs

    Coming soon
  13. Module 13

    Spatial algorithms with scipy.spatial

    Coming soon
  14. Module 14

    Image and N-dimensional processing

    Coming soon
  15. Module 15

    Special functions, constants and file I/O

    Coming soon
  16. Module 16

    Performance, reliability and interoperability

    Coming soon
  17. Module 17

    Upgrades and coming from MATLAB

    Coming soon

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Official documentation

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