NumPy

NumPy is an open source library for the Python programming language, adding support for large, multidimensional arrays, and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
Here are 7,116 public repositories matching this topic...
-
Updated
Dec 15, 2020 - Jupyter Notebook
-
Updated
Dec 21, 2020 - Python
Improve navigation of the I/O how-to by prepending a decision tree/flowchart using an image or graphviz, as suggested by @mattip.
-
Updated
Oct 19, 2019
-
Updated
Oct 31, 2020 - Python
-
Updated
Sep 27, 2019 - Jupyter Notebook
-
Updated
Nov 28, 2020 - Python
-
Updated
Sep 22, 2019 - Python
-
Updated
Oct 14, 2020 - Python
PR #6447 adds a public API to get the maximum number of registers per thread (numba.cuda.Dispatcher.get_regs_per_thread()
). There are other attributes that might be nice to provide - shared memory per block, local memory per thread, const memory usage, maximum block size.
These are all available in the FuncAttr
named tuple: https://github.com/numba/numba/blob/master/numba/cuda/cudadrv/drive
-
Updated
Dec 21, 2020 - Python
-
Updated
Dec 18, 2020 - Python
Bidirectional RNN
Is there a way to train a bidirectional RNN (like LSTM or GRU) on trax nowadays?
-
Updated
Feb 6, 2020
When grouping by variable in Pivot Table, it would be nice if Group By would output an actual date for datetime variables.
E.g.:
- A mean of [2020-01-01, 2020-01-02, 2020-01-03] would output 2020-01-02.
- A median of [2020-01-01, 2020-01-02, 2020-01-03, 2020-01-03, 2020-01-04] would output 2020-01-03.
- A sum ... Don't know. Probably output a float?
- Min, max ... This one is obvious.
- Va
[Error Message] Improve error message in SentencepieceTokenizer when arguments are not expected.
Description
While using tokenizers.create with the model and vocab file for a custom corpus, the code throws an error and is not able to generate the BERT vocab file
Error Message
ValueError: Mismatch vocabulary! All special tokens specified must be control tokens in the sentencepiece vocabulary.
To Reproduce
from gluonnlp.data import tokenizers
tokenizers.create('spm', model_p
-
Updated
Dec 18, 2020 - C++
Support Series.median()
-
Updated
Nov 21, 2020 - Python
Is your feature request related to a problem? Please describe.
I am trying to drop particular indices from a dimension that doesn't have coordinates.
Following: [drop_sel() documentation](http://xarray.pydata.org/en/stable/generated/xarray.Dataset.drop_sel.html#xarray.Dataset.drop_se
-
Updated
Dec 14, 2020 - Jupyter Notebook
-
Updated
Feb 11, 2020 - Python
-
Updated
Dec 9, 2020 - Jupyter Notebook
hi,
if possible, please add these indicators as well:
TDI (Traders Dynamic Index)
chandelier exit
pivot points
BOP (balance of power)
CTM (Chande trend meter)
Coppock Curve
Correlation Coefficient
PMO (DecisionPoint Price Momentum Oscillator)
Ulcer Index
most of them except TDI are available on stockcharts.com
thanks
Created by Travis Oliphant
Latest release about 2 months ago
- Repository
- numpy/numpy
- Website
- numpy.org
- Wikipedia
- Wikipedia
Hi, I've moved to Cuda 11.0 and I am getting warnings below while compiling. I just can't remember exactly, but I don't think I saw these with 10.2. I don't know if it related, but
run_test.py
is also failing when it comes to Distribution related tests. I can post test's log when the build is complete, if it is helpful. Thank you.