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Jake Vanderplas jakevdp

Python, Astronomy, Data Science

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Arctic Code Vault Contributor

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PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

Jupyter Notebook 24.6k 10.8k
altair-viz/altair

Declarative statistical visualization library for Python

Python 5.7k 530
WhirlwindTourOfPython

The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"

Jupyter Notebook 2.4k 1.1k
sklearn_tutorial

Materials for my scikit-learn tutorial

Jupyter Notebook 1.3k 766

1,572 contributions in the last year

Contribution activity

July 2020

Created a pull request in google/jax that received 4 comments

WIP: x64: make Jax default dtypes 32-bit

This is step 1 in removing the x64 flag: jax should default to 32-bit types to facilitate working on accelerators.

+83 −72 • 4 comments

Fix type mismatch in jet rule for abs Jul 20
[x64 deprecation] Create _np_array utility routine Jul 16
Change onp/np to np/jnp in docs & notebooks Jul 14
Cleanup: convert uses of 'import numpy as onp' in tests Jul 14
Cleanup: convert uses of `import numpy as onp` in library code Jul 14
lax_numpy: rename arguments to match numpy Jul 13
Fix compilation bug in histogram_bin_edges Jul 13
Remove unused private helper function Jul 13
fix flake error on master Jul 10
lexicographic sort_p: accept num_keys rather than comparator Jul 10
Remove some non-inclusive language Jul 10
Generalize lax.sort to support lexicographic sorts. Jul 9
Add _NOT_IMPLEMENTED attribute to jax.numpy (fixes #3689) Jul 8
Cleanup: record names in get_module_functions Jul 8
Cleanup: use test_util dtypes where possible Jul 8
Revert #3610 & #3684 Jul 7
linalg_test: define test matrices lazily Jul 7
fix pmap test on GPU/TPU Jul 7
Add CI tests for numpy 1.16.4 Jul 1
Add test of jax.numpy vs numpy call signatures Jul 1

tweak jnp.repeat not to use jnp on shapes Jul 21
Fix `jax.image._resize` function Jul 20
add clarification about jit inside indexing error message Jul 20
Error message and docstring updates RE: dynamic_slice Jul 20
Note in pmap docs that pmap compiles like jit. Jul 17
Don't move batch dimensions to start in jnp.einsum. Jul 17
Relax test tolerance for conv_general_dilated gradients. Jul 17
Use keyword arguments in einsum. Jul 17
Update scipy.ndimage.map_coordinates docstring Jul 15
Fix bug in jnp.repeat where for array repeats with zero entries (e.g. [1,0,3]) and axis=0 the zero entry was not skipped). Jul 15
Fix low probability (4/1000) flake of batching_test on GPU. Jul 14
A compilable version of np.repeat. Jul 14
Make jnp.take work for empty slices of empty arrays. Jul 14
Adding np.sort_complex within lax_numpy.py Jul 13
Add pshuffle to docs Jul 13
Improve np.intersect1d Jul 13
Implement complex convolutions on CPU and GPU. Jul 13
Implement np.intersect1d Jul 13
Fix a link to TensorBoard's profiler in Profiling JAX Programs Jul 8
fix bad pmap tests from #3675 Jul 7
Make LU gradient work for low-rank matrices Jul 7
Add simple JAX API microbenchmarks. Jul 7
Remove a deprecated reference to testExamplesJaxprDoc in Understanding Jaxpr Jul 7
Adding support for array split Jul 6
Add np.trim_zeros numpy function Jul 6

Ecosystem: gif Jul 10
Broader data support in Chart Jul 1

Inequation inside Jax.jit function Jul 18

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