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아나콘다 = miniconda3 = 라즈베리파이 설치라즈베리파이3 B+ 2019. 10. 30. 13:21
wget http://repo.continuum.io/miniconda/Miniconda3-latest-Linux-armv7l.sh
sudo chmod +x Miniconda3-latest-Linux-armv7l.sh
암호입력
./Miniconda3-latest-Linux-armv7l.sh
Anaconda END USER LICENSE AGREEMENT 가 나오면 yes
설치위치 지정 = 기본값 = enter
Miniconda3 will now be installed into this location:
/home/raja/miniconda3bash path 설정 = 기본값 = yes
Do you wish the installer to prepend the Miniconda3 install location
to PATH in your /home/raja/.bashrc ? [yes|no]
[no] >>> yesPrepending PATH=/home/raja/miniconda3/bin to PATH in /home/raja/.bashrc
A backup will be made to: /home/raja/.bashrc-miniconda3.bak더보기명령어 conda
raja@piplus:~ $ conda
usage: conda [-h] [-V] [--debug] command ...
conda is a tool for managing and deploying applications, environments and packages.
Options:
positional arguments:
command
info Display information about current conda install.
help Displays a list of available conda commands and their help
strings.
list List linked packages in a conda environment.
search Search for packages and display their information. The input
is a regular expression. To perform a search with a search
string that starts with a -, separate the search from the
options with --, like 'conda search -- -h'. A * in the
results means that package is installed in the current
environment. A . means that package is not installed but is
cached in the pkgs directory.
create Create a new conda environment from a list of specified
packages.
install Install a list of packages into a specified conda
environment.
update Update conda packages to the current version.
remove Remove a list of packages from a specified conda environment.
uninstall Alias for conda remove. See conda remove --help.
run Launches an application installed with conda. To include
command line options in a command, separate the command from
the other options with --, like conda run -- ipython
--matplotlib
config Modify configuration values in .condarc. This is modeled
after the git config command. Writes to the user .condarc
file (/home/raja/.condarc) by default.
init Initialize conda into a regular environment (when conda was
installed as a Python package, e.g. using pip). (DEPRECATED)
clean Remove unused packages and caches.
package Low-level conda package utility. (EXPERIMENTAL)
bundle Create or extract a "bundle package" (EXPERIMENTAL)
optional arguments:
-h, --help Show this help message and exit.
-V, --version Show the conda version number and exit.
--debug Show debug output.
external commands:
env positional arguments:
{attach,create,export,list,remove,upload,update}
attach Embeds information describing your conda environment
into the notebook metadata
create Create an environment based on an environment file
export Export a given environment
list List the Conda environments
remove Remove an environment
upload Upload an environment to anaconda.org
update Update the current environment based on environment
file
conda install anaconda-client
conda create -n condaVEnv00 python=3
conda config --add channels rpi
conda install numpy
더보기raja@piplus:~ $ conda install anaconda-client
Fetching package metadata: ....
Solving package specifications: ...........
Package plan for installation in environment /home/raja/miniconda3:
The following packages will be downloaded:
package | build
---------------------------|-----------------
jpeg-8d | 0 742 KB
libpng-1.6.17 | 0 200 KB
freetype-2.5.2 | 2 2.3 MB
libtiff-4.0.2 | 1 865 KB
pillow-2.9.0 | py34_0 747 KB
pytz-2015.4 | py34_0 173 KB
setuptools-18.1 | py34_0 345 KB
six-1.9.0 | py34_0 17 KB
wheel-0.24.0 | py34_0 77 KB
clyent-0.4.0 | py34_0 15 KB
pip-7.1.2 | py34_0 1.5 MB
python-dateutil-2.4.2 | py34_0 220 KB
anaconda-client-1.0.2 | py34_0 92 KB
------------------------------------------------------------
Total: 7.2 MB
The following NEW packages will be INSTALLED:
anaconda-client: 1.0.2-py34_0
clyent: 0.4.0-py34_0
freetype: 2.5.2-2
jpeg: 8d-0
libpng: 1.6.17-0
libtiff: 4.0.2-1
pillow: 2.9.0-py34_0
pip: 7.1.2-py34_0
python-dateutil: 2.4.2-py34_0
pytz: 2015.4-py34_0
setuptools: 18.1-py34_0
six: 1.9.0-py34_0
wheel: 0.24.0-py34_0
Proceed ([y]/n)? y
Fetching packages ...
jpeg-8d-0.tar. 100% |################################| Time: 0:00:03 234.07 kB/s
libpng-1.6.17- 100% |################################| Time: 0:00:00 239.82 kB/s
freetype-2.5.2 100% |################################| Time: 0:00:13 175.04 kB/s
libtiff-4.0.2- 100% |################################| Time: 0:00:03 232.50 kB/s
pillow-2.9.0-p 100% |################################| Time: 0:00:03 220.45 kB/s
pytz-2015.4-py 100% |################################| Time: 0:00:00 268.37 kB/s
setuptools-18. 100% |################################| Time: 0:00:01 252.48 kB/s
six-1.9.0-py34 100% |################################| Time: 0:00:00 396.79 kB/s
wheel-0.24.0-p 100% |################################| Time: 0:00:00 271.39 kB/s
clyent-0.4.0-p 100% |################################| Time: 0:00:00 323.04 kB/s
pip-7.1.2-py34 100% |################################| Time: 0:00:06 260.45 kB/s
python-dateuti 100% |################################| Time: 0:00:00 258.15 kB/s
anaconda-clien 100% |################################| Time: 0:00:00 284.63 kB/s
Extracting packages ...
[ COMPLETE ]|###################################################| 100%
Linking packages ...
[ COMPLETE ]|###################################################| 100%
raja@piplus:~ $ conda create -n condaVEnv00 python=3
Fetching package metadata: ....
Solving package specifications: ...........
Package plan for installation in environment /home/raja/miniconda3/envs/condaVEnv00:
The following NEW packages will be INSTALLED:
openssl: 1.0.1k-1
pip: 7.1.2-py34_0
python: 3.4.3-1
setuptools: 18.1-py34_0
sqlite: 3.8.4.1-1
wheel: 0.24.0-py34_0
xz: 5.0.5-0
zlib: 1.2.8-0
Proceed ([y]/n)? y
Linking packages ...
[ COMPLETE ]|###################################################| 100%
#
# To activate this environment, use:
# $ source activate condaVEnv00
#
# To deactivate this environment, use:
# $ source deactivate
#
raja@piplus:~ $ conda config --add channels rpi
raja@piplus:~ $ conda install numpy
Fetching package metadata: ......
Solving package specifications: ..
Error: Unsatisfiable package specifications.
Generating hint:
[ COMPLETE ]|###################################################| 100%
Hint: the following packages conflict with each other:
- numpy
- python 3.4*
Use 'conda info numpy' etc. to see the dependencies for each package.
raja@piplus:~ $conda install jupyter
더보기conda info jupyter
Fetching package metadata: ......
jupyter 1.0.0 py36h224aed1_0
----------------------------
file name : jupyter-1.0.0-py36h224aed1_0.tar.bz2
name : jupyter
version : 1.0.0
build number: 0
build string: py36h224aed1_0
channel : rpi
size : 4 KB
arch : armv7l
binstar : {'package_id': '59d51193656fd81193fd3284', 'owner_id': '5848a1daf838f90fe7b7e9c2', 'channel': 'main'}
has_prefix : False
license : BSD 3-Clause
machine : armv7l
md5 : d9543c8720e1b22e80a6a8af3e2d3ff4
operatingsystem: linux
platform : linux
subdir : linux-armv7l
target-triplet: armv7l-any-linux
timestamp : 1507136480334
installed environments:
dependencies:
ipykernel
ipywidgets
jupyter_console
nbconvert
notebook
python >=3.6,<3.7.0a0
jupyter 1.0.0 py35h8282682_0
----------------------------
file name : jupyter-1.0.0-py35h8282682_0.tar.bz2
name : jupyter
version : 1.0.0
build number: 0
build string: py35h8282682_0
channel : rpi
size : 4 KB
arch : armv7l
binstar : {'package_id': '59d51193656fd81193fd3284', 'owner_id': '5848a1daf838f90fe7b7e9c2', 'channel': 'main'}
has_prefix : False
license : BSD 3-Clause
machine : armv7l
md5 : 06c6c8ff8971a1608217587adb949b1a
operatingsystem: linux
platform : linux
subdir : linux-armv7l
target-triplet: armv7l-any-linux
timestamp : 1507137170063
installed environments:
dependencies:
ipykernel
ipywidgets
jupyter_console
nbconvert
notebook
python >=3.5,<3.6.0a0
jupyter 1.0.0 py27h875d005_0
----------------------------
file name : jupyter-1.0.0-py27h875d005_0.tar.bz2
name : jupyter
version : 1.0.0
build number: 0
build string: py27h875d005_0
channel : rpi
size : 4 KB
arch : armv7l
binstar : {'package_id': '59d51193656fd81193fd3284', 'owner_id': '5848a1daf838f90fe7b7e9c2', 'channel': 'main'}
has_prefix : False
license : BSD 3-Clause
machine : armv7l
md5 : 64c8267ee50d3d05fb50f6a43c40ec1e
operatingsystem: linux
platform : linux
subdir : linux-armv7l
target-triplet: armv7l-any-linux
timestamp : 1507134993770
installed environments:
dependencies:
ipykernel
ipywidgets
jupyter_console
nbconvert
notebook
python >=2.7,<2.8.0a0주피터 설치
sudo apt-get update && sudo apt-get upgrade
sudo apt-get install python3-matplotlib python3-scipy python3-pip
sudo pip3 install --upgrade pip
sudo reboot
sudo pip3 install jupyter
실행
jupyter-notebook
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