Download Tuna For Mac 1.0.1
Released:
XGBoost Python Package
Apr 29, 2012 Download Tuna for iOS to tuna, an easy way for planning and exercising conscious control over the amount of time spent on specific activities, especially to increase. Or, anyone can download and use Serato DJ Lite in Practice Mode without hardware connected. As well as the recent updates in version 1.0 (see below), version 1.0.1 now includes support for the Pioneer DJ DDJ-SB3 controller.
Project description
Installation
From PyPI
For a stable version, install using pip:
For building from source, see build.
Release historyRelease notifications RSS feed
1.5.1
1.5.0
1.5.0rc1 pre-release
1.4.2
1.4.1
1.4.0
1.4.0rc1 pre-release
1.3.3
1.3.2
1.3.1
1.3.0.post0
1.3.0rc1 pre-release
1.2.1
1.2.1rc1 pre-release
1.2.0
1.2.0rc2 pre-release
1.2.0rc1 pre-release
1.1.1
1.1.0
1.1.0rc2 pre-release
1.1.0rc1 pre-release
1.0.2
1.0.1
1.0.0
1.0.0rc2 pre-release
1.0.0rc1 pre-release
0.90
0.82
0.81
0.80
0.72.1
0.71
0.7.post4
0.7.post3
0.7.post2
0.7.post1
0.7
0.6
Download Tuna For Mac 1.0.1 Software
0.6a2 pre-release
0.6a1 pre-release
0.4a30 pre-release
0.4a29 pre-release
0.4a28 pre-release
0.4a27 pre-release
0.4a26 pre-release
0.4a25 pre-release
0.4a24 pre-release
0.4a23 pre-release
0.4a22 pre-release
0.4a21 pre-release
0.4a20 pre-release
0.4a19 pre-release
0.4a18 pre-release
0.4a15 pre-release
0.4a14 pre-release
0.4a13 pre-release
0.4a12 pre-release
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
| Filename, size | File type | Python version | Upload date | Hashes |
|---|---|---|---|---|
| Filename, size xgboost-1.5.1-py3-none-macosx_10_15_x86_64.macosx_11_0_x86_64.macosx_12_0_x86_64.whl(1.3 MB) | File type Wheel | Python version py3 | Upload date | Hashes |
| Filename, size xgboost-1.5.1-py3-none-manylinux2014_aarch64.whl(2.2 MB) | File type Wheel | Python version py3 | Upload date | Hashes |
| Filename, size xgboost-1.5.1-py3-none-manylinux2014_x86_64.whl(173.5 MB) | File type Wheel | Python version py3 | Upload date | Hashes |
| Filename, size xgboost-1.5.1-py3-none-win_amd64.whl(106.6 MB) | File type Wheel | Python version py3 | Upload date | Hashes |
| Filename, size xgboost-1.5.1.tar.gz(730.8 kB) | File type Source | Python version None | Upload date | Hashes |
Hashes for xgboost-1.5.1-py3-none-macosx_10_15_x86_64.macosx_11_0_x86_64.macosx_12_0_x86_64.whl
| Algorithm | Hash digest |
|---|---|
| SHA256 | c6a3ed369decf0ebee1c7af18fa87d632843b5dd2edaca2dd4b2c5e66034c316 |
| MD5 | 5e0b4e6b953def25aef5db84deb8009d |
| BLAKE2-256 | aaab1602a0b825927a12132a10605193100e0b13764f983fdb5fba6637baec70 |
Hashes for xgboost-1.5.1-py3-none-manylinux2014_aarch64.whl
| Algorithm | Hash digest |
|---|---|
| SHA256 | 8668e86a2ab13bccc16bc4c295cb118771dc70d02ef82752289e5d3e7a7a5357 |
| MD5 | cfe675f7f5ce00ec495caa22d88d3aa5 |
| BLAKE2-256 | f78969fa3eda9089525d0444187d564c3cf5b4029a3b80ae8c84301083f955fd |
Hashes for xgboost-1.5.1-py3-none-manylinux2014_x86_64.whl
| Algorithm | Hash digest |
|---|---|
| SHA256 | ab50d064861aa6f27396e3879bcccc720b1bdcaff501367b7ea1325c4ab61e63 |
| MD5 | 53a717dfc6010dda365e8f4f7d3da130 |
| BLAKE2-256 | 36163a81d29dea691882bc95151879217a0c21c07740d0355dc90fe11836e10d |
Hashes for xgboost-1.5.1-py3-none-win_amd64.whl
| Algorithm | Hash digest |
|---|---|
| SHA256 | e399dcb4ce6bb669c8cc707aaea2f3da50af9cc78f6f5019a0bb6246a433b736 |
| MD5 | 008bf094045822ac73541f26f8b51a69 |
| BLAKE2-256 | ae205dc3ddd571edf7926b34c11519bbb88c99257c5fad0050a6a7b5f57ab546 |
Download Tuna For Mac 1.0.1 Torrent
CloseHashes for xgboost-1.5.1.tar.gz
| Algorithm | Hash digest |
|---|---|
| SHA256 | a30485a84bbecf0d6a0c648e3efee94e3ecf99134cc6408df11cdab46da995de |
| MD5 | f8a0f74db73e9d8cb0eadc30d2823169 |
| BLAKE2-256 | 407b7d9a74f095c4b1892009c6822e3aed31c1b938abc8f0e43227698bbd8c25 |