2019-05-06

GitHub Pagesでmarkdownを公開する１

**** GitHub Pagesでmarkdownを公開する１：GitHubにPagesに対応したReposを作る

*** overview

GitHub Pagesで、markdownファイルを、Jekyll Themeで公開する。

*** procedure

** note

GitHubにrepositoryを作り、そのrepositoryを、GitHub Pagesとして公開。
GitHub RepositoryのREADME.mdを修正して、公開。

** logs

* 1. New GitHub Repository

create new repos named "www".

review www repos.

* 2. Set the settings of repos

Set GitHub Page abled and select target source.

review settings

choose Jekyll Theme

review www repos

confirm _config.yml

* 3. access www page

pulished url
- https://sakai-memoru.github.io/www/
  - ※ GitHubが初期生成したindex.htmlページが表示される。

* 4. modify README.md

pulished url
- https://sakai-memoru.github.io/www/README.html

// --- end of markdown --- //

sakai-memoru.hateblo.jp

2019-05-03

1905-create-github-repos-of-notebook-on-first-operation

**** 1905-create-github-repos-of-notebook-on-first-operation

*** overview

When creating github repository, operate first on terminal.

*** FIXME

[ ] To publish github.io/blog

*** logs

echo "# zzzzz" >> README.md
gibo dump python vim > .gitignore
git init
git add .
git status
git commit -m "first commit"
git remote add origin https://github.com/xxxxx/zzzzz.git
git config --list
git push -u origin master

files
- README.md
- README.ipnb
- .gitignore
- logging_debug.conf
logging_debug.conf (for jupyter notebook)

[loggers]
keys=root,functions

[handlers]
keys=fileHandler,stderrHandler

[formatters]
keys=simpleFormatter

[logger_root]
level=DEBUG
handlers=fileHandler,stderrHandler

[logger_functions]
level=INFO
handlers=fileHandler,stderrHandler
qualname=functions
propagate=0

[handler_fileHandler]
class=handlers.TimedRotatingFileHandler
formatter=simpleFormatter
args=('apps.log','D')

[handler_stderrHandler]
class=StreamHandler
formatter=simpleFormatter
args=(sys.stderr,)

[formatter_simpleFormatter]
format=[%(asctime)s][%(levelname)s](%(lineno)s) %(message)s
datefmt=%Y/%m/%d %H:%M:%S

// --- end of markdown --- //

2019-05-03

1905-sequence

**** 1905-sequence

*** overview

Sequence Types
- Sequences represent ordered sets of objects indeed by non-negative integers and include strings, lists, and tuples.

*** logs

import logging.config

logging.config.fileConfig('./logging_debug.conf')
logger = logging.getLogger(__name__)

logger.info('------ start...')

[2019/05/03 08:21:27][INFO](1) ------ start...

*** contents

** Operations Common to All Sequence

s = '012345678'

res = s[1]
logger.debug(f's[1] = "{res}"')

[2019/05/03 08:21:27][DEBUG](2) s[1] = "1"

res=s[1:5]
logger.debug(f's[1:5] = "{res}"')

[2019/05/03 08:21:27][DEBUG](2) s[1:5] = "1234"

res=s[1:9:2]
logger.debug(f's[1:9:2] = "{res}"')

[2019/05/03 08:21:27][DEBUG](2) s[1:9:2] = "1357"

res=len(s)
logger.debug(f'len(s) = {res}')

[2019/05/03 08:21:27][DEBUG](2) len(s) = 9

s = 'python'
res=max(s)
logger.debug(f'max(s) = "{res}"')

[2019/05/03 08:21:27][DEBUG](3) max(s) = "y"

res=min(s)
logger.debug(f'min(s) = "{res}"')

[2019/05/03 08:21:27][DEBUG](2) min(s) = "h"

lst=list(s)
lst

['p', 'y', 't', 'h', 'o', 'n']

// --- end of notebook --- //

2019-05-03

1905-conda-operation

python conda

**** 1905-conda-operation

[ ] FIXME Add articles for configuring requirements.txt

*** overview

logged operations of conda.

*** reference

Condaの使い方メモ
- https://qiita.com/showsuzu/items/e2fddf22f725f4d2ab8c

*** logs

** execute Anaconda Prompt

win-key
input anaconda prompt
operate console below:

(base) C:\Users\sakai>onme
(base) C:\Users\sakai>cd g:\workspace\py
(base) C:\Users\sakai>g:
(base) g:\workspace\py>dir
 Volume in drive G is Users
 Volume Serial Number is 04A1-7D2F

 Directory of g:\workspace\py

04/03/2019  06:37 PM    <DIR>          .
04/03/2019  06:37 PM    <DIR>          ..
04/01/2019  07:07 PM    <DIR>          1904-dso
               0 File(s)              0 bytes
               3 Dir(s)  43,630,772,224 bytes free

(base) g:\workspace\py>conda info -e
# conda environments:
#
base                  *  G:\Anaconda3
django                   G:\Anaconda3\envs\django
drf                      G:\Anaconda3\envs\drf
env                      G:\Anaconda3\envs\env
jup                      G:\Anaconda3\envs\jup
ml                       G:\Anaconda3\envs\ml


(base) g:\workspace\py>

** activate jupyter environment and make workspace

(base) g:\workspace\py>conda activate jup

(jup) g:\workspace\py>mkdir pandas-1904

(jup) g:\workspace\py>cd pandas-1904

(jup) g:\workspace\py\pandas-1904>pip freeze
backcall==0.1.0
bleach==3.0.2
certifi==2018.11.29
colorama==0.4.0
cycler==0.10.0
decorator==4.3.0
entrypoints==0.2.3
ipykernel==5.1.0
ipython==7.2.0
ipython-genutils==0.2.0
ipywidgets==7.4.2
jedi==0.13.1
Jinja2==2.10
jsonschema==2.6.0
jupyter==1.0.0
jupyter-client==5.2.3
jupyter-console==6.0.0
jupyter-core==4.4.0
kiwisolver==1.0.1
MarkupSafe==1.1.0
matplotlib==3.0.2
mistune==0.8.4
nbconvert==5.3.1
nbformat==4.4.0
notebook==5.7.2
numpy==1.15.4
pandas==0.23.4
pandocfilters==1.4.2
parso==0.3.1
pickleshare==0.7.5
prometheus-client==0.4.2
prompt-toolkit==2.0.7
Pygments==2.2.0
pyparsing==2.3.0
python-dateutil==2.7.5
pytz==2018.7
pywinpty==0.5.4
pyzmq==17.1.2
qtconsole==4.4.3
scikit-learn==0.20.2
scipy==1.1.0
seaborn==0.9.0
Send2Trash==1.5.0
six==1.12.0
sklearn==0.0
terminado==0.8.1
testpath==0.4.2
tornado==5.1.1
traitlets==4.3.2
wcwidth==0.1.7
webencodings==0.5.1
widgetsnbextension==3.4.2
wincertstore==0.2
xlrd==1.2.0

(jup) g:\workspace\py\pandas-1904>pip freeze | grep numpy
numpy==1.15.4

(jup) g:\workspace\py\pandas-1904>pip freeze | grep pandas
pandas==0.23.4

(jup) g:\workspace\py\pandas-1904>pip freeze | grep matplotlib
matplotlib==3.0.2

** execute jupyter notebook

(jup) g:\workspace\py\pandas-1904>jupyter notebook
[I 19:34:58.445 NotebookApp] Serving notebooks from local directory: g:\workspace\py\pandas-1904
[I 19:34:58.445 NotebookApp] The Jupyter Notebook is running at:
[I 19:34:58.446 NotebookApp] http://localhost:8888/?token=709c0e9e38b864cef2716a71c473cdc3e4e020ed7729d0ab
[I 19:34:58.449 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 19:34:58.715 NotebookApp]

    Copy/paste this URL into your browser when you connect for the first time,
    to login with a token:
        http://localhost:8888/?token=709c0e9e38b864cef2716a71c473cdc3e4e020ed7729d0ab
[I 19:34:59.083 NotebookApp] Accepting one-time-token-authenticated connection from ::1

** deactivate

(jup) g:\workspace\py>deactivate

(base) g:\workspace\py>

** remove --all

(base) g:\workspace\py>conda remove -n jup --all

Remove all packages in environment G:\Anaconda3\envs\jup:


## Package Plan ##

  environment location: G:\Anaconda3\envs\jup


The following packages will be REMOVED:

    backcall:                0.1.0-py37_0
    bleach:                  3.0.2-py37_0
    ca-certificates:         2018.03.07-0
    certifi:                 2018.11.29-py37_0
    colorama:                0.4.0-py37_0
    decorator:               4.3.0-py37_0
    entrypoints:             0.2.3-py37_2
    icu:                     58.2-ha66f8fd_1
    ipykernel:               5.1.0-py37h39e3cac_0
    ipython:                 7.2.0-py37h39e3cac_0
    ipython_genutils:        0.2.0-py37_0
    ipywidgets:              7.4.2-py37_0
    jedi:                    0.13.1-py37_0
    jinja2:                  2.10-py37_0
    jpeg:                    9b-hb83a4c4_2
    jsonschema:              2.6.0-py37_0
    jupyter:                 1.0.0-py37_7
    jupyter_client:          5.2.3-py37_0
    jupyter_console:         6.0.0-py37_0
    jupyter_core:            4.4.0-py37_0
    libpng:                  1.6.35-h2a8f88b_0
    libsodium:               1.0.16-h9d3ae62_0
    m2w64-gcc-libgfortran:   5.3.0-6
    m2w64-gcc-libs:          5.3.0-7
    m2w64-gcc-libs-core:     5.3.0-7
    m2w64-gmp:               6.1.0-2
    m2w64-libwinpthread-git: 5.0.0.4634.697f757-2
    markupsafe:              1.1.0-py37he774522_0
    mistune:                 0.8.4-py37he774522_0
    msys2-conda-epoch:       20160418-1
    nbconvert:               5.3.1-py37_0
    nbformat:                4.4.0-py37_0
    notebook:                5.7.2-py37_1
    openssl:                 1.1.1a-he774522_0
    pandoc:                  2.2.3.2-0
    pandocfilters:           1.4.2-py37_1
    parso:                   0.3.1-py37_0
    pickleshare:             0.7.5-py37_0
    pip:                     18.1-py37_0
    prometheus_client:       0.4.2-py37_0
    prompt_toolkit:          2.0.7-py37_0
    pygments:                2.2.0-py37_0
    pyqt:                    5.9.2-py37h6538335_2
    python:                  3.7.1-h8c8aaf0_6
    python-dateutil:         2.7.5-py37_0
    pywinpty:                0.5.4-py37_0
    pyzmq:                   17.1.2-py37hfa6e2cd_0
    qt:                      5.9.7-vc14h73c81de_0
    qtconsole:               4.4.3-py37_0
    send2trash:              1.5.0-py37_0
    setuptools:              40.6.2-py37_0
    sip:                     4.19.8-py37h6538335_0
    six:                     1.12.0-py37_0
    sqlite:                  3.25.3-he774522_0
    terminado:               0.8.1-py37_1
    testpath:                0.4.2-py37_0
    tornado:                 5.1.1-py37hfa6e2cd_0
    traitlets:               4.3.2-py37_0
    vc:                      14.1-h0510ff6_4
    vs2015_runtime:          14.15.26706-h3a45250_0
    wcwidth:                 0.1.7-py37_0
    webencodings:            0.5.1-py37_1
    wheel:                   0.32.3-py37_0
    widgetsnbextension:      3.4.2-py37_0
    wincertstore:            0.2-py37_0
    winpty:                  0.4.3-4
    zeromq:                  4.2.5-he025d50_1
    zlib:                    1.2.11-h62dcd97_3

Proceed ([y]/n)? y


(base) g:\workspace\py>conda info -e
# conda environments:
#
base                  *  G:\Anaconda3
django                   G:\Anaconda3\envs\django
drf                      G:\Anaconda3\envs\drf
env                      G:\Anaconda3\envs\env
ml                       G:\Anaconda3\envs\ml


(base) g:\workspace\py>

** create environment

(base) g:\workspace\py>conda create -n jup
Solving environment: done


==> WARNING: A newer version of conda exists. <==
  current version: 4.5.11
  latest version: 4.6.9

Please update conda by running

    $ conda update -n base -c defaults conda



## Package Plan ##

  environment location: G:\Anaconda3\envs\jup


Proceed ([y]/n)? y

Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
#     $ conda activate jup
#
# To deactivate an active environment, use
#
#     $ conda deactivate


(base) g:\workspace\py>
(base) g:\workspace\py>conda activate jup

(jup) g:\workspace\py>pip freeze
alabaster==0.7.11
anaconda-client==1.7.2
anaconda-navigator==1.9.2
anaconda-project==0.8.2
appdirs==1.4.3
asn1crypto==0.24.0
astroid==2.0.4
astropy==3.0.4
atomicwrites==1.2.1
attrs==18.2.0
Automat==0.7.0
Babel==2.6.0
backcall==0.1.0
backports.shutil-get-terminal-size==1.0.0
beautifulsoup4==4.6.3
bitarray==0.8.3
bkcharts==0.2
blaze==0.11.3
bleach==2.1.4
bokeh==0.13.0
boto==2.49.0
Bottleneck==1.2.1
Cerberus==1.2
certifi==2018.11.29
cffi==1.11.5
chardet==3.0.4
click==6.7
cloudpickle==0.5.5
clyent==1.2.2
colorama==0.3.9
comtypes==1.1.7
conda==4.5.11
conda-build==3.15.1
constantly==15.1.0
contextlib2==0.5.5
cryptography==2.3.1
cycler==0.10.0
Cython==0.28.5
cytoolz==0.9.0.1
dask==0.19.1
datashape==0.5.4
decorator==4.3.0
defusedxml==0.5.0
distributed==1.23.1
Django==2.1
djangorestframework==3.8.2
docopt==0.6.2
docutils==0.14
elasticsearch==6.3.0
entrypoints==0.2.3
et-xmlfile==1.0.1
fastcache==1.0.2
filelock==3.0.8
Flask==1.0.2
Flask-Cors==3.0.6
gevent==1.3.6
glob2==0.6
greenlet==0.4.15
gunicorn==19.9.0
h5py==2.8.0
heapdict==1.0.0
html5lib==1.0.1
hyperlink==18.0.0
idna==2.7
imageio==2.4.1
imagesize==1.1.0
incremental==17.5.0
ipykernel==4.10.0
ipython==6.5.0
ipython-genutils==0.2.0
ipywidgets==7.4.1
isort==4.3.4
itsdangerous==0.24
jdcal==1.4
jedi==0.12.1
Jinja2==2.10
jsonschema==2.6.0
jupyter==1.0.0
jupyter-client==5.2.3
jupyter-console==5.2.0
jupyter-core==4.4.0
jupyterlab==0.34.9
jupyterlab-launcher==0.13.1
keyring==13.2.1
kiwisolver==1.0.1
lazy-object-proxy==1.3.1
llvmlite==0.24.0
locket==0.2.0
lxml==4.2.5
MarkupSafe==1.0
matplotlib==2.2.3
mccabe==0.6.1
menuinst==1.4.14
mistune==0.8.3
mkl-fft==1.0.4
mkl-random==1.0.1
more-itertools==4.3.0
mpmath==1.0.0
msgpack==0.5.6
multipledispatch==0.6.0
mysql-connector-python==8.0.13
navigator-updater==0.2.1
nbconvert==5.4.0
nbformat==4.4.0
networkx==2.1
nltk==3.3
nose==1.3.7
notebook==5.6.0
numba==0.39.0
numexpr==2.6.8
numpy==1.15.1
numpydoc==0.8.0
odo==0.5.1
olefile==0.46
openpyxl==2.5.6
packaging==17.1
pandas==0.23.4
pandocfilters==1.4.2
parso==0.3.1
partd==0.3.8
path.py==11.1.0
pathlib2==2.3.2
patsy==0.5.0
Paver==1.3.4
pbr==4.1.0
pep8==1.7.1
pickleshare==0.7.4
Pillow==5.2.0
pkginfo==1.4.2
pluggy==0.7.1
ply==3.11
prometheus-client==0.3.1
prompt-toolkit==1.0.15
psutil==5.4.7
py==1.6.0
pyasn1==0.4.4
pyasn1-modules==0.2.2
pycodestyle==2.4.0
pycosat==0.6.3
pycparser==2.18
pycrypto==2.6.1
pycurl==7.43.0.2
pyflakes==2.0.0
Pygments==2.2.0
pylint==2.1.1
pyodbc==4.0.24
pyOpenSSL==18.0.0
pyparsing==2.2.0
PySocks==1.6.8
pytest==3.8.0
pytest-arraydiff==0.2
pytest-astropy==0.4.0
pytest-doctestplus==0.1.3
pytest-openfiles==0.3.0
pytest-remotedata==0.3.0
python-dateutil==2.7.3
pytz==2018.5
PyWavelets==1.0.0
pywin32==223
pywinpty==0.5.4
PyYAML==3.13
pyzmq==17.1.2
QtAwesome==0.4.4
qtconsole==4.4.1
QtPy==1.5.0
requests==2.19.1
rope==0.11.0
ruamel-yaml==0.15.46
scikit-image==0.14.0
scikit-learn==0.19.2
scipy==1.1.0
seaborn==0.9.0
Send2Trash==1.5.0
service-identity==17.0.0
simplegeneric==0.8.1
singledispatch==3.4.0.3
six==1.11.0
snowballstemmer==1.2.1
sortedcollections==1.0.1
sortedcontainers==2.0.5
Sphinx==1.7.9
sphinxcontrib-websupport==1.1.0
spyder==3.3.1
spyder-kernels==0.2.6
SQLAlchemy==1.2.11
statsmodels==0.9.0
stevedore==1.28.0
sympy==1.1.1
tables==3.4.4
tblib==1.3.2
terminado==0.8.1
testpath==0.3.1
toolz==0.9.0
tornado==5.1
tqdm==4.26.0
traitlets==4.3.2
Twisted==18.7.0
unicodecsv==0.14.1
urllib3==1.23
virtualenv==16.0.0
virtualenv-clone==0.3.0
virtualenvwrapper==4.8.2
wcwidth==0.1.7
webencodings==0.5.1
Werkzeug==0.14.1
widgetsnbextension==3.4.1
win-inet-pton==1.0.1
win-unicode-console==0.5
wincertstore==0.2
wrapt==1.10.11
xlrd==1.1.0
XlsxWriter==1.1.0
xlwings==0.11.8
xlwt==1.3.0
zict==0.1.3
zope.interface==4.5.0

(jup) g:\workspace\py>
(jup) g:\workspace\py>pip freeze | grep numpy
numpy==1.15.1
numpydoc==0.8.0

(jup) g:\workspace\py>pip freeze | grep pandas
pandas==0.23.4

(jup) g:\workspace\py>pip freeze | grep matplotlib
matplotlib==2.2.3

// --- end of markdown --- //

2019-03-21

1903-Japan-Statistical-Society-Certificate-3grade

statistics

大項目	小項目	ねらい	項目（学習しておくべき用語）
データの種類	データの基礎知識	データのタイプの違いを理解し，それぞれのデータに適した処理法を理解する。	量的データ，質的データ，名義尺度，順序尺度，間隔尺度，比率尺度，連続尺度
標本調査	母集団と標本	標本調査の意味と必要性を理解し，標本の抽出方法や推定方法について説明することができる。	母集団，標本，全数調査，無作為抽出，標本の大きさ，乱数表，国勢調査
実験調査	実験の基本的な考え方	実験調査の意味と必要性を理解し，実験の基本的な考え方について，説明することができる。	実験研究，観察研究，処理群と対照群
統計グラフ	1変数の基本的なグラフの見方・読み方	基本的な1変数の統計グラフを適切に解釈したり，自ら書いたりすることができる。	棒グラフ，折れ線グラフ，円グラフ，帯グラフ，積み上げ棒グラフ，レーダーチャート，バブルチャート，ローソク足
	2変数の基本的なグラフの見方	基本的な2変数の統計グラフを適切に解釈したり，自ら書いたりすることができる。	モザイク図，散布図（相関図），複合グラフ
データ集計	1変数データ	1変数のデータを適切に集計表に記述すること，また集計表から適切に情報を読み取り，説明することができる。	度数分布表，度数，相対度数，累積度数，累積相対度数，階級，階級値，度数分布表からの統計量の求め方
	2 変数データ	2変数のデータを適切にクロス集計表に記述すること，また集計表から適切に情報を読み取り，説明することができる。	クロス集計表（2 元の度数分布表）
データの代表値	データの代表値	代表値とその利用法数値を用いてデータの中心的位置を表現すること，またそれらを用いて適切にデータの特徴を説明することができる。	平均値，中央値，最頻値
データの散らばり	量的な1変数の散らばりの指標	データの散らばりを，指標を用いて把握し，説明することができる。	最小値，最大値，範囲，四分位数，四分位範囲（四分位偏差），分散，標準偏差，偏差値，変動係数
	量的な2変数の散らばりの指標	量的な2つの変数の散らばりを指標から把握し，説明することができる。	共分散，相関係数
	散らばりのグラフ表現	データの散らばりをグラフ表現することを通して，散らばりの特徴を把握したり，グループ間の比較を行ったりすることができる。はずれた値の処理を考える。	ヒストグラム（柱状グラフ），累積相対度数グラフ，幹葉図，箱ひげ図，散布図（相関図），はずれ値
確率	確率の基礎	確率の意味や基本的な法則を理解し，さまざまな事象の確率を求めたり，確率を用いて考察することができる。	独立な試行，条件付き確率
時系列データ	時系列データの基本的な見方	時系列情報を持つデータをグラフや指標を用いて適切に表現し，それらの情報を適切に読み取ることができる。	時系列グラフ，指標化，移動平均値

2019-03-20

1903-jupyter-notebook-shortcuts

jupyter

jupyter notebook Shortcuts

Overview

jupyterを使うにあたり、shortcutを整理する。

List

Command Mode

H : Help
P ; command Pallet
M : Markdown
Y : code
B : insert cell Below
D,D : Delete selected cells
V : paste cells below
S : Save
Ctrl-Enter : run selected cells
Shift-Enter : run cell, select below
Alt-Enter : run cell and insert below

Contents of Table

key	value
H	show keyboard shortcuts
P	open the command palette
--------------	----------------------------------------------
M	change cell to markdown
R	change cell to raw
Y	change cell to code
--------------	----------------------------------------------
A	insert cell above
B	insert cell below
C	copy selected cells
D,D	delete selected cells
X	cut selected cells
V	paste cells below
Shift-V	paste cells above
Z	undo cell deletion
--------------	----------------------------------------------
S	Save and Checkpoint
Ctrl-S	Save and Checkpoint
--------------	----------------------------------------------
Esc	close the pager
Q	close the pager
Enter	enter edit mode
Alt-Enter	run cell and insert below
Ctrl-Enter	run selected cells
Shift-Enter	run cell, select below
--------------	----------------------------------------------
Up	select cell above
Down	select cell below
K	select cell above
J	select cell below
Space	scroll notebook down
Shift-Space	scroll notebook up
Shift-Up	extend selected cells above
Shift-Down	extend selected cells below
Shift-J	extend selected cells below
Shift-K	extend selected cells above
Shift-M	merge selected cells, or current cell with
-	cell below if only one cell is selected
--------------	----------------------------------------------
F	find and replace
--------------	----------------------------------------------
L	toggle line numbers
Shift-L	toggles line numbers in all cells, and
-	persist the setting
O	toggle output of selected cells
Shift-O	toggle output scrolling of selected cells
--------------	----------------------------------------------
I,I	interrupt the kernel
0,0	restart the kernel (with dialog)
--------------	----------------------------------------------
1	change cell to heading 1
2	change cell to heading 2
3	change cell to heading 3
4	change cell to heading 4
5	change cell to heading 5
6	change cell to heading 6
--------------	----------------------------------------------
Ctrl-Shift-F	open the command palette
Ctrl-Shift-P	open the command palette
--------------	----------------------------------------------

Edit Mode

Tab : code completion or indent
Shift-Tab : tooltip
Ctrl-] : indent
Ctrl-[ : dedent
Ctrl-/ : comment
Ctrl-D : delete whole line

Contents of Table

Key	Value
Esc	enter command mode
Ctrl-M	enter command mode
------------------	---------------------------
Ctrl-S	Save and Checkpoint
Insert	toggle overwrite flag
------------------	---------------------------
Shift-Enter	run cell, select below
Ctrl-Enter	run selected cells
Alt-Enter	run cell and insert below
------------------	---------------------------
Ctrl-Shift-F	open the command palette
Ctrl-Shift-P	open the command palette
Ctrl-Shift-Minus	split cell at cursor
------------------	---------------------------
Ctrl-A	select all
Ctrl-/	comment
Ctrl-D	delete whole line
------------------	---------------------------
Ctrl-Z	undo
Ctrl-Y	redo
Ctrl-U	undo selection
Alt-U	redo selection
------------------	---------------------------
Tab	code completion or indent
Shift-Tab	tooltip
------------------	---------------------------
Ctrl-]	indent
Ctrl-[	dedent
Down	move cursor down
Up	move cursor up
------------------	---------------------------
Ctrl-Home	go to cell start
Ctrl-Up	go to cell start
Ctrl-End	go to cell end
Ctrl-Down	go to cell end
------------------	---------------------------
Ctrl-Left	go one word left
Ctrl-Right	go one word right
Ctrl-Backspace	delete word before
Ctrl-Delete	delete word after

[EOF]

2018-08-24

1808-ubuntu-gibo-installation

* 1808-ubuntu-gibo-installation

Overview

gibo (make .gitignore from boiler template)

github.com

installation logs

~/.bashrc

mitsuru@dell:~$ cat ~/.bashrc | grep /home/mitsuru/sh
export PATH="/home/mitsuru/sh:$PATH"

procedures

mitsuru@dell:~$ curl -L https://raw.github.com/simonwhitaker/gibo/master/gibo > gibo
mitsuru@dell:~$ chmod +x gibo
mitsuru@dell:~$ mv gibo ~/sh
mitsuru@dell:~$ gibo update
Cloning https://github.com/github/gitignore.git to /home/mitsuru/.gitignore-boilerplates
Cloning into '/home/mitsuru/.gitignore-boilerplates'...
 :
 :
mitsuru@dell:~$ gibo 
gibo 2.1.0 by Simon Whitaker <sw@netcetera.org>
https://github.com/simonwhitaker/gibo

Fetches gitignore boilerplates from https://github.com/github/gitignore

Usage:
    gibo [command]

Example:
    gibo dump Swift Xcode >> .gitignore

Commands:
    dump BOILERPLATE...   Write boilerplate(s) to STDOUT
    help                  Display this help text
    list                  List available boilerplates
    search STR            Search for boilerplates with STR in the name
    update                Update list of available boilerplates
    version               Display current script version

usage

mitsuru@dell:~/workspace/py/service$ gibo dump python vim >> .gitignore
mitsuru@dell:~/workspace/py/service$ ls -la | grep git
drwxr-xr-x 8 mitsuru mitsuru 4096 Aug 23 23:46 .git
-rw-r--r-- 1 mitsuru mitsuru 3181 Aug 24 00:09 .gitignore