Replace pipenv with poetry
Also make the images in the notebook a bit smaller
This commit is contained in:
parent
316460ef03
commit
b480ded9de
6 changed files with 839 additions and 652 deletions
17
Pipfile
17
Pipfile
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@ -1,17 +0,0 @@
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[[source]]
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name = "pypi"
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url = "https://pypi.org/simple"
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verify_ssl = true
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[dev-packages]
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[packages]
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jupyter = "*"
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numpy = "*"
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scipy = "*"
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matplotlib = "*"
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pandas = "*"
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sklearn = "*"
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[requires]
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python_version = "3.6"
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573
Pipfile.lock
generated
573
Pipfile.lock
generated
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@ -1,573 +0,0 @@
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{
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"_meta": {
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"hash": {
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"sha256": "1fc37e1257eaf507bbb2a6cb5866c44c734c66f6f53d56386602b98f2e656028"
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},
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"pipfile-spec": 6,
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"requires": {
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"python_version": "3.6"
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},
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"sources": [
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{
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"name": "pypi",
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"url": "https://pypi.org/simple",
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"verify_ssl": true
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}
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||||
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||||
File diff suppressed because one or more lines are too long
689
poetry.lock
generated
Normal file
689
poetry.lock
generated
Normal file
|
|
@ -0,0 +1,689 @@
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|||
[[package]]
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
|
||||
[[package]]
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
[[package]]
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||||
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||||
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||||
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||||
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|
||||
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||||
|
||||
[package.dependencies]
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||||
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||||
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||||
[[package]]
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||||
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||||
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||||
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|
||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
[[package]]
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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|
||||
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||||
|
||||
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||||
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||||
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||||
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|
||||
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||||
pygments = "*"
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||||
|
||||
[[package]]
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||||
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|
||||
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|
||||
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|
||||
optional = false
|
||||
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||||
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|
||||
|
||||
[package.dependencies]
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||||
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||||
|
||||
[[package]]
|
||||
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|
||||
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|
||||
name = "kiwisolver"
|
||||
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|
||||
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
|
||||
version = "1.1.0"
|
||||
|
||||
[package.dependencies]
|
||||
setuptools = "*"
|
||||
|
||||
[[package]]
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
|
||||
[[package]]
|
||||
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|
||||
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|
||||
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|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
version = "3.1.1"
|
||||
|
||||
[package.dependencies]
|
||||
cycler = ">=0.10"
|
||||
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||||
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||||
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|
||||
python-dateutil = ">=2.1"
|
||||
|
||||
[[package]]
|
||||
category = "main"
|
||||
description = "The fastest markdown parser in pure Python"
|
||||
name = "mistune"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
version = "0.8.4"
|
||||
|
||||
[[package]]
|
||||
category = "main"
|
||||
description = "Converting Jupyter Notebooks"
|
||||
name = "nbconvert"
|
||||
optional = false
|
||||
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
|
||||
version = "5.6.0"
|
||||
|
||||
[package.dependencies]
|
||||
bleach = "*"
|
||||
defusedxml = "*"
|
||||
entrypoints = ">=0.2.2"
|
||||
jinja2 = ">=2.4"
|
||||
jupyter-core = "*"
|
||||
mistune = ">=0.8.1,<2"
|
||||
nbformat = ">=4.4"
|
||||
pandocfilters = ">=1.4.1"
|
||||
pygments = "*"
|
||||
testpath = "*"
|
||||
traitlets = ">=4.2"
|
||||
|
||||
[[package]]
|
||||
category = "main"
|
||||
description = "The Jupyter Notebook format"
|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
markupsafe = ["00bc623926325b26bb9605ae9eae8a215691f33cae5df11ca5424f06f2d1f473", "09027a7803a62ca78792ad89403b1b7a73a01c8cb65909cd876f7fcebd79b161", "09c4b7f37d6c648cb13f9230d847adf22f8171b1ccc4d5682398e77f40309235", "1027c282dad077d0bae18be6794e6b6b8c91d58ed8a8d89a89d59693b9131db5", "24982cc2533820871eba85ba648cd53d8623687ff11cbb805be4ff7b4c971aff", "29872e92839765e546828bb7754a68c418d927cd064fd4708fab9fe9c8bb116b", "43a55c2930bbc139570ac2452adf3d70cdbb3cfe5912c71cdce1c2c6bbd9c5d1", "46c99d2de99945ec5cb54f23c8cd5689f6d7177305ebff350a58ce5f8de1669e", "500d4957e52ddc3351cabf489e79c91c17f6e0899158447047588650b5e69183", "535f6fc4d397c1563d08b88e485c3496cf5784e927af890fb3c3aac7f933ec66", "62fe6c95e3ec8a7fad637b7f3d372c15ec1caa01ab47926cfdf7a75b40e0eac1", "6dd73240d2af64df90aa7c4e7481e23825ea70af4b4922f8ede5b9e35f78a3b1", "717ba8fe3ae9cc0006d7c451f0bb265ee07739daf76355d06366154ee68d221e", "79855e1c5b8da654cf486b830bd42c06e8780cea587384cf6545b7d9ac013a0b", "7c1699dfe0cf8ff607dbdcc1e9b9af1755371f92a68f706051cc8c37d447c905", "88e5fcfb52ee7b911e8bb6d6aa2fd21fbecc674eadd44118a9cc3863f938e735", "8defac2f2ccd6805ebf65f5eeb132adcf2ab57aa11fdf4c0dd5169a004710e7d", "98c7086708b163d425c67c7a91bad6e466bb99d797aa64f965e9d25c12111a5e", "9add70b36c5666a2ed02b43b335fe19002ee5235efd4b8a89bfcf9005bebac0d", "9bf40443012702a1d2070043cb6291650a0841ece432556f784f004937f0f32c", "ade5e387d2ad0d7ebf59146cc00c8044acbd863725f887353a10df825fc8ae21", "b00c1de48212e4cc9603895652c5c410df699856a2853135b3967591e4beebc2", "b1282f8c00509d99fef04d8ba936b156d419be841854fe901d8ae224c59f0be5", "b2051432115498d3562c084a49bba65d97cf251f5a331c64a12ee7e04dacc51b", "ba59edeaa2fc6114428f1637ffff42da1e311e29382d81b339c1817d37ec93c6", "c8716a48d94b06bb3b2524c2b77e055fb313aeb4ea620c8dd03a105574ba704f", "cd5df75523866410809ca100dc9681e301e3c27567cf498077e8551b6d20e42f", "e249096428b3ae81b08327a63a485ad0878de3fb939049038579ac0ef61e17e7"]
|
||||
matplotlib = ["1febd22afe1489b13c6749ea059d392c03261b2950d1d45c17e3aed812080c93", "31a30d03f39528c79f3a592857be62a08595dec4ac034978ecd0f814fa0eec2d", "4442ce720907f67a79d45de9ada47be81ce17e6c2f448b3c64765af93f6829c9", "796edbd1182cbffa7e1e7a97f1e141f875a8501ba8dd834269ae3cd45a8c976f", "934e6243df7165aad097572abf5b6003c77c9b6c480c3c4de6f2ef1b5fdd4ec0", "bab9d848dbf1517bc58d1f486772e99919b19efef5dd8596d4b26f9f5ee08b6b", "c1fe1e6cdaa53f11f088b7470c2056c0df7d80ee4858dadf6cbe433fcba4323b", "e5b8aeca9276a3a988caebe9f08366ed519fff98f77c6df5b64d7603d0e42e36", "ec6bd0a6a58df3628ff269978f4a4b924a0d371ad8ce1f8e2b635b99e482877a"]
|
||||
mistune = ["59a3429db53c50b5c6bcc8a07f8848cb00d7dc8bdb431a4ab41920d201d4756e", "88a1051873018da288eee8538d476dffe1262495144b33ecb586c4ab266bb8d4"]
|
||||
nbconvert = ["427a468ec26e7d68a529b95f578d5cbf018cb4c1f889e897681c2b6d11897695", "48d3c342057a2cf21e8df820d49ff27ab9f25fc72b8f15606bd47967333b2709"]
|
||||
nbformat = ["b9a0dbdbd45bb034f4f8893cafd6f652ea08c8c1674ba83f2dc55d3955743b0b", "f7494ef0df60766b7cabe0a3651556345a963b74dbc16bc7c18479041170d402"]
|
||||
notebook = ["660976fe4fe45c7aa55e04bf4bccb9f9566749ff637e9020af3422f9921f9a5d", "b0a290f5cc7792d50a21bec62b3c221dd820bf00efa916ce9aeec4b5354bde20"]
|
||||
numpy = ["05dbfe72684cc14b92568de1bc1f41e5f62b00f714afc9adee42f6311738091f", "0d82cb7271a577529d07bbb05cb58675f2deb09772175fab96dc8de025d8ac05", "10132aa1fef99adc85a905d82e8497a580f83739837d7cbd234649f2e9b9dc58", "12322df2e21f033a60c80319c25011194cd2a21294cc66fee0908aeae2c27832", "16f19b3aa775dddc9814e02a46b8e6ae6a54ed8cf143962b4e53f0471dbd7b16", "3d0b0989dd2d066db006158de7220802899a1e5c8cf622abe2d0bd158fd01c2c", "438a3f0e7b681642898fd7993d38e2bf140a2d1eafaf3e89bb626db7f50db355", "5fd214f482ab53f2cea57414c5fb3e58895b17df6e6f5bca5be6a0bb6aea23bb", "73615d3edc84dd7c4aeb212fa3748fb83217e00d201875a47327f55363cef2df", "7bd355ad7496f4ce1d235e9814ec81ee3d28308d591c067ce92e49f745ba2c2f", "7d077f2976b8f3de08a0dcf5d72083f4af5411e8fddacd662aae27baa2601196", "a4092682778dc48093e8bda8d26ee8360153e2047826f95a3f5eae09f0ae3abf", "b458de8624c9f6034af492372eb2fee41a8e605f03f4732f43fc099e227858b2", "e70fc8ff03a961f13363c2c95ef8285e0cf6a720f8271836f852cc0fa64e97c8", "ee8e9d7cad5fe6dde50ede0d2e978d81eafeaa6233fb0b8719f60214cf226578", "f4a4f6aba148858a5a5d546a99280f71f5ee6ec8182a7d195af1a914195b21a2"]
|
||||
pandas = ["18d91a9199d1dfaa01ad645f7540370ba630bdcef09daaf9edf45b4b1bca0232", "3f26e5da310a0c0b83ea50da1fd397de2640b02b424aa69be7e0784228f656c9", "4182e32f4456d2c64619e97c58571fa5ca0993d1e8c2d9ca44916185e1726e15", "426e590e2eb0e60f765271d668a30cf38b582eaae5ec9b31229c8c3c10c5bc21", "5eb934a8f0dc358f0e0cdf314072286bbac74e4c124b64371395e94644d5d919", "717928808043d3ea55b9bcde636d4a52d2236c246f6df464163a66ff59980ad8", "8145f97c5ed71827a6ec98ceaef35afed1377e2d19c4078f324d209ff253ecb5", "8744c84c914dcc59cbbb2943b32b7664df1039d99e834e1034a3372acb89ea4d", "c1ac1d9590d0c9314ebf01591bd40d4c03d710bfc84a3889e5263c97d7891dee", "cb2e197b7b0687becb026b84d3c242482f20cbb29a9981e43604eb67576da9f6", "d4001b71ad2c9b84ff18b182cea22b7b6cbf624216da3ea06fb7af28d1f93165", "d8930772adccb2882989ab1493fa74bd87d47c8ac7417f5dd3dd834ba8c24dc9", "dfbb0173ee2399bc4ed3caf2d236e5c0092f948aafd0a15fbe4a0e77ee61a958", "eebfbba048f4fa8ac711b22c78516e16ff8117d05a580e7eeef6b0c2be554c18", "f1b21bc5cf3dbea53d33615d1ead892dfdae9d7052fa8898083bec88be20dcd2"]
|
||||
pandocfilters = ["b3dd70e169bb5449e6bc6ff96aea89c5eea8c5f6ab5e207fc2f521a2cf4a0da9"]
|
||||
parso = ["63854233e1fadb5da97f2744b6b24346d2750b85965e7e399bec1620232797dc", "666b0ee4a7a1220f65d367617f2cd3ffddff3e205f3f16a0284df30e774c2a9c"]
|
||||
pexpect = ["2094eefdfcf37a1fdbfb9aa090862c1a4878e5c7e0e7e7088bdb511c558e5cd1", "9e2c1fd0e6ee3a49b28f95d4b33bc389c89b20af6a1255906e90ff1262ce62eb"]
|
||||
pickleshare = ["87683d47965c1da65cdacaf31c8441d12b8044cdec9aca500cd78fc2c683afca", "9649af414d74d4df115d5d718f82acb59c9d418196b7b4290ed47a12ce62df56"]
|
||||
prometheus-client = ["71cd24a2b3eb335cb800c7159f423df1bd4dcd5171b234be15e3f31ec9f622da"]
|
||||
prompt-toolkit = ["11adf3389a996a6d45cc277580d0d53e8a5afd281d0c9ec71b28e6f121463780", "2519ad1d8038fd5fc8e770362237ad0364d16a7650fb5724af6997ed5515e3c1", "977c6583ae813a37dc1c2e1b715892461fcbdaa57f6fc62f33a528c4886c8f55"]
|
||||
ptyprocess = ["923f299cc5ad920c68f2bc0bc98b75b9f838b93b599941a6b63ddbc2476394c0", "d7cc528d76e76342423ca640335bd3633420dc1366f258cb31d05e865ef5ca1f"]
|
||||
pygments = ["71e430bc85c88a430f000ac1d9b331d2407f681d6f6aec95e8bcfbc3df5b0127", "881c4c157e45f30af185c1ffe8d549d48ac9127433f2c380c24b84572ad66297"]
|
||||
pyparsing = ["6f98a7b9397e206d78cc01df10131398f1c8b8510a2f4d97d9abd82e1aacdd80", "d9338df12903bbf5d65a0e4e87c2161968b10d2e489652bb47001d82a9b028b4"]
|
||||
pyrsistent = ["34b47fa169d6006b32e99d4b3c4031f155e6e68ebcc107d6454852e8e0ee6533"]
|
||||
python-dateutil = ["7e6584c74aeed623791615e26efd690f29817a27c73085b78e4bad02493df2fb", "c89805f6f4d64db21ed966fda138f8a5ed7a4fdbc1a8ee329ce1b74e3c74da9e"]
|
||||
pytz = ["26c0b32e437e54a18161324a2fca3c4b9846b74a8dccddd843113109e1116b32", "c894d57500a4cd2d5c71114aaab77dbab5eabd9022308ce5ac9bb93a60a6f0c7"]
|
||||
pywin32 = ["0443e9bb196e72480f50cbddc2cf98fbb858a77d02e281ba79489ea3287b36e9", "09bbe7cdb29eb40ab2e83f7a232eeeedde864be7a0622b70a90f456aad07a234", "0d8e0f47808798d320c983574c36c49db642678902933a210edd40157d206fd0", "0db7c9f4b93528afd080d35912a60be2f86a1d6c49c0a9cf9cedd106eed81ea3", "749e590875051661ecefbd9dfa957a485016de0f25e43f5e70f888ef1e29587b", "779d3e9d4b934f2445d2920c3941416d99af72eb7f7fd57a63576cc8aa540ad6", "7c89d2c11a31c7aaa16dc4d25054d7e0e99d6f6b24193cf62c83850484658c87", "81f7732b662c46274d7d8c411c905d53e71999cba95457a0686467c3ebc745ca", "9db1fb8830bfa99c5bfd335d4482c14db5c6f5028db3b006787ef4200206242b", "bd8d04835db28646d9e07fd0ab7c7b18bd90e89dfdc559e60389179495ef30da", "fc6822a68afd79e97b015985dd455767c72009b81bcd18957068626c43f11e75", "fe6cfc2045931866417740b575231c7e12d69d481643be1493487ad53b089959"]
|
||||
pywinpty = ["0e01321e53a230233358a6d608a1a8bc86c3882cf82769ba3c62ca387dc9cc51", "333e0bc5fca8ad9e9a1516ebedb2a65da38dc1f399f8b2ea57d6cccec1ff2cc8", "3ca3123aa6340ab31bbf9bd012b92e72f9ec905e4c9ee152cc997403e1778cd3", "44a6dddcf2abf402e22f87e2c9a341f7d0b296afbec3d28184c8de4d7f514ee4", "53d94d574c3d4da2df5b1c3ae728b8d90e4d33502b0388576bbd4ddeb4de0f77", "c3955f162c53dde968f3fc11361658f1d83b683bfe601d4b6f94bb01ea4300bc", "cec9894ecb34de3d7b1ca121dd98433035b9f8949b5095e84b103b349231509c", "dcd45912e2fe2e6f72cee997a4da6ed1ad2056165a277ce5ec7f7ac98dcdf667", "f2bcdd9a2ffd8b223752a971b3d377fb7bfed85f140ec9710f1218d760f2ccb7"]
|
||||
pyzmq = ["01636e95a88d60118479041c6aaaaf5419c6485b7b1d37c9c4dd424b7b9f1121", "021dba0d1436516092c624359e5da51472b11ba8edffa334218912f7e8b65467", "0463bd941b6aead494d4035f7eebd70035293dd6caf8425993e85ad41de13fa3", "05fd51edd81eed798fccafdd49c936b6c166ffae7b32482e4d6d6a2e196af4e6", "1fadc8fbdf3d22753c36d4172169d184ee6654f8d6539e7af25029643363c490", "22efa0596cf245a78a99060fe5682c4cd00c58bb7614271129215c889062db80", "260c70b7c018905ec3659d0f04db735ac830fe27236e43b9dc0532cf7c9873ef", "2762c45e289732d4450406cedca35a9d4d71e449131ba2f491e0bf473e3d2ff2", "2fc6cada8dc53521c1189596f1898d45c5f68603194d3a6453d6db4b27f4e12e", "343b9710a61f2b167673bea1974e70b5dccfe64b5ed10626798f08c1f7227e72", "41bf96d5f554598a0632c3ec28e3026f1d6591a50f580df38eff0b8067efb9e7", "856b2cdf7a1e2cbb84928e1e8db0ea4018709b39804103d3a409e5584f553f57", "85b869abc894672de9aecdf032158ea8ad01e2f0c3b09ef60e3687fb79418096", "93f44739db69234c013a16990e43db1aa0af3cf5a4b8b377d028ff24515fbeb3", "98fa3e75ccb22c0dc99654e3dd9ff693b956861459e8c8e8734dd6247b89eb29", "9a22c94d2e93af8bebd4fcf5fa38830f5e3b1ff0d4424e2912b07651eb1bafb4", "a7d3f4b4bbb5d7866ae727763268b5c15797cbd7b63ea17f3b0ec1067da8994b", "b645a49376547b3816433a7e2d2a99135c8e651e50497e7ecac3bd126e4bea16", "cf0765822e78cf9e45451647a346d443f66792aba906bc340f4e0ac7870c169c", "dc398e1e047efb18bfab7a8989346c6921a847feae2cad69fedf6ca12fb99e2c", "dd5995ae2e80044e33b5077fb4bc2b0c1788ac6feaf15a6b87a00c14b4bdd682", "e03fe5e07e70f245dc9013a9d48ae8cc4b10c33a1968039c5a3b64b5d01d083d", "ea09a306144dff2795e48439883349819bef2c53c0ee62a3c2fae429451843bb", "f4e37f33da282c3c319849877e34f97f0a3acec09622ec61b7333205bdd13b52", "fa4bad0d1d173dee3e8ef3c3eb6b2bb6c723fc7a661eeecc1ecb2fa99860dd45"]
|
||||
qtconsole = ["40d5d8e00d070ea266dbf6f0da74c4b9597b8b8d67cd8233c3ffd8debf923703", "b91e7412587e6cfe1644696538f73baf5611e837be5406633218443b2827c6d9"]
|
||||
scikit-learn = ["1ac81293d261747c25ea5a0ee8cd2bb1f3b5ba9ec05421a7f9f0feb4eb7c4116", "289361cf003d90b007f5066b27fcddc2d71324c82f1c88e316fedacb0dfdd516", "3a14d0abd4281fc3fd2149c486c3ec7cedad848b8d5f7b6f61522029d65a29f8", "5083a5e50d9d54548e4ada829598ae63a05651dd2bb319f821ffd9e8388384a6", "777cdd5c077b7ca9cb381396c81990cf41d2fa8350760d3cad3b4c460a7db644", "8bf2ff63da820d09b96b18e88f9625228457bff8df4618f6b087e12442ef9e15", "8d319b71c449627d178f21c57614e21747e54bb3fc9602b6f42906c3931aa320", "928050b65781fea9542dfe9bfe02d8c4f5530baa8472ec60782ea77347d2c836", "92c903613ff50e22aa95d589f9fff5deb6f34e79f7f21f609680087f137bb524", "ae322235def5ce8fae645b439e332e6f25d34bb90d6a6c8e261f17eb476457b7", "c1cd6b29eb1fd1cc672ac5e4a8be5f6ea936d094a3dc659ada0746d6fac750b1", "c41a6e2685d06bcdb0d26533af2540f54884d40db7e48baed6a5bcbf1a7cc642", "d07fcb0c0acbc043faa0e7cf4d2037f71193de3fb04fb8ed5c259b089af1cf5c", "d146d5443cda0a41f74276e42faf8c7f283fef49e8a853b832885239ef544e05", "eb2b7bed0a26ba5ce3700e15938b28a4f4513578d3e54a2156c29df19ac5fd01", "eb9b8ebf59eddd8b96366428238ab27d05a19e89c5516ce294abc35cea75d003"]
|
||||
scipy = ["0baa64bf42592032f6f6445a07144e355ca876b177f47ad8d0612901c9375bef", "243b04730d7223d2b844bda9500310eecc9eda0cba9ceaf0cde1839f8287dfa8", "2643cfb46d97b7797d1dbdb6f3c23fe3402904e3c90e6facfe6a9b98d808c1b5", "396eb4cdad421f846a1498299474f0a3752921229388f91f60dc3eda55a00488", "3ae3692616975d3c10aca6d574d6b4ff95568768d4525f76222fb60f142075b9", "435d19f80b4dcf67dc090cc04fde2c5c8a70b3372e64f6a9c58c5b806abfa5a8", "46a5e55850cfe02332998b3aef481d33f1efee1960fe6cfee0202c7dd6fc21ab", "75b513c462e58eeca82b22fc00f0d1875a37b12913eee9d979233349fce5c8b2", "7ccfa44a08226825126c4ef0027aa46a38c928a10f0a8a8483c80dd9f9a0ad44", "89dd6a6d329e3f693d1204d5562dd63af0fd7a17854ced17f9cbc37d5b853c8d", "a81da2fe32f4eab8b60d56ad43e44d93d392da228a77e229e59b51508a00299c", "a9d606d11eb2eec7ef893eb825017fbb6eef1e1d0b98a5b7fc11446ebeb2b9b1", "ac37eb652248e2d7cbbfd89619dce5ecfd27d657e714ed049d82f19b162e8d45", "cbc0611699e420774e945f6a4e2830f7ca2b3ee3483fca1aa659100049487dd5", "d02d813ec9958ed63b390ded463163685af6025cb2e9a226ec2c477df90c6957", "dd3b52e00f93fd1c86f2d78243dfb0d02743c94dd1d34ffea10055438e63b99d"]
|
||||
send2trash = ["60001cc07d707fe247c94f74ca6ac0d3255aabcb930529690897ca2a39db28b2", "f1691922577b6fa12821234aeb57599d887c4900b9ca537948d2dac34aea888b"]
|
||||
six = ["3350809f0555b11f552448330d0b52d5f24c91a322ea4a15ef22629740f3761c", "d16a0141ec1a18405cd4ce8b4613101da75da0e9a7aec5bdd4fa804d0e0eba73"]
|
||||
terminado = ["d9d012de63acb8223ac969c17c3043337c2fcfd28f3aea1ee429b345d01ef460", "de08e141f83c3a0798b050ecb097ab6259c3f0331b2f7b7750c9075ced2c20c2"]
|
||||
testpath = ["46c89ebb683f473ffe2aab0ed9f12581d4d078308a3cb3765d79c6b2317b0109", "b694b3d9288dbd81685c5d2e7140b81365d46c29f5db4bc659de5aa6b98780f8"]
|
||||
tornado = ["349884248c36801afa19e342a77cc4458caca694b0eda633f5878e458a44cb2c", "398e0d35e086ba38a0427c3b37f4337327231942e731edaa6e9fd1865bbd6f60", "4e73ef678b1a859f0cb29e1d895526a20ea64b5ffd510a2307b5998c7df24281", "559bce3d31484b665259f50cd94c5c28b961b09315ccd838f284687245f416e5", "abbe53a39734ef4aba061fca54e30c6b4639d3e1f59653f0da37a0003de148c7", "c845db36ba616912074c5b1ee897f8e0124df269468f25e4fe21fe72f6edd7a9", "c9399267c926a4e7c418baa5cbe91c7d1cf362d505a1ef898fde44a07c9dd8a5"]
|
||||
traitlets = ["9c4bd2d267b7153df9152698efb1050a5d84982d3384a37b2c1f7723ba3e7835", "c6cb5e6f57c5a9bdaa40fa71ce7b4af30298fbab9ece9815b5d995ab6217c7d9"]
|
||||
wcwidth = ["3df37372226d6e63e1b1e1eda15c594bca98a22d33a23832a90998faa96bc65e", "f4ebe71925af7b40a864553f761ed559b43544f8f71746c2d756c7fe788ade7c"]
|
||||
webencodings = ["a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78", "b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"]
|
||||
widgetsnbextension = ["079f87d87270bce047512400efd70238820751a11d2d8cb137a5a5bdbaf255c7", "bd314f8ceb488571a5ffea6cc5b9fc6cba0adaf88a9d2386b93a489751938bcd"]
|
||||
20
pyproject.toml
Normal file
20
pyproject.toml
Normal file
|
|
@ -0,0 +1,20 @@
|
|||
[tool.poetry]
|
||||
name = "cscm-workshop-intro-machine-learning"
|
||||
version = "0.1.0"
|
||||
description = "An introductory workshop on machine learning for WHU's Campus for Supply Chain Management"
|
||||
authors = ["Alexander Hess <alexander@webartifex.biz>"]
|
||||
license = "MIT"
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
python = "^3.6"
|
||||
jupyter = "^1.0"
|
||||
numpy = "^1.17"
|
||||
matplotlib = "^3.1"
|
||||
pandas = "^0.25"
|
||||
scikit-learn = "^0.21"
|
||||
|
||||
[tool.poetry.dev-dependencies]
|
||||
|
||||
[build-system]
|
||||
requires = ["poetry>=0.12"]
|
||||
build-backend = "poetry.masonry.api"
|
||||
53
requirements.txt
Normal file
53
requirements.txt
Normal file
|
|
@ -0,0 +1,53 @@
|
|||
attrs==19.2.0
|
||||
backcall==0.1.0
|
||||
bleach==3.1.0
|
||||
cycler==0.10.0
|
||||
decorator==4.4.0
|
||||
defusedxml==0.6.0
|
||||
entrypoints==0.3
|
||||
ipykernel==5.1.2
|
||||
ipython==7.8.0
|
||||
ipython-genutils==0.2.0
|
||||
ipywidgets==7.5.1
|
||||
jedi==0.15.1
|
||||
Jinja2==2.10.1
|
||||
joblib==0.14.0
|
||||
jsonschema==3.0.2
|
||||
jupyter==1.0.0
|
||||
jupyter-client==5.3.3
|
||||
jupyter-console==6.0.0
|
||||
jupyter-core==4.5.0
|
||||
kiwisolver==1.1.0
|
||||
MarkupSafe==1.1.1
|
||||
matplotlib==3.1.1
|
||||
mistune==0.8.4
|
||||
nbconvert==5.6.0
|
||||
nbformat==4.4.0
|
||||
notebook==6.0.1
|
||||
numpy==1.17.2
|
||||
pandas==0.25.1
|
||||
pandocfilters==1.4.2
|
||||
parso==0.5.1
|
||||
pexpect==4.7.0
|
||||
pickleshare==0.7.5
|
||||
prometheus-client==0.7.1
|
||||
prompt-toolkit==2.0.9
|
||||
ptyprocess==0.6.0
|
||||
Pygments==2.4.2
|
||||
pyparsing==2.4.2
|
||||
pyrsistent==0.15.4
|
||||
python-dateutil==2.8.0
|
||||
pytz==2019.2
|
||||
pyzmq==18.1.0
|
||||
qtconsole==4.5.5
|
||||
scikit-learn==0.21.3
|
||||
scipy==1.3.1
|
||||
Send2Trash==1.5.0
|
||||
six==1.12.0
|
||||
terminado==0.8.2
|
||||
testpath==0.4.2
|
||||
tornado==6.0.3
|
||||
traitlets==4.3.2
|
||||
wcwidth==0.1.7
|
||||
webencodings==0.5.1
|
||||
widgetsnbextension==3.5.1
|
||||
Loading…
Reference in a new issue