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Diff for: ‎.gitignore

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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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pip-wheel-metadata/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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.python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/

Diff for: ‎LICENSE

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MIT License
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Copyright (c) 2020 Data For Science
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.

Diff for: ‎README.md

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# AdvancedTimeseries

Diff for: ‎Untitled.ipynb

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"<div style=\"width: 100%; overflow: hidden;\">\n",
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" <div style=\"width: 150px; float: left;\"> <img src=\"data/D4Sci_logo_ball.png\" alt=\"Data For Science, Inc\" align=\"left\" border=\"0\"> </div>\n",
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" <div style=\"float: left; margin-left: 10px;\"> <h1>Course</h1>\n",
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"<h1>Lecture</h1>\n",
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" <p>Bruno Gonçalves<br/>\n",
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" <a href=\"http://www.data4sci.com/\">www.data4sci.com</a><br/>\n",
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" @bgoncalves, @data4sci</p></div>\n",
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"</div>"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"from collections import Counter\n",
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"from pprint import pprint\n",
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"\n",
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"import pandas as pd\n",
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"import numpy as np\n",
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"import matplotlib.pyplot as plt \n",
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"\n",
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"import watermark\n",
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"\n",
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"%load_ext watermark\n",
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"%matplotlib inline"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"We start by print out the versions of the libraries we're using for future reference"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"autopep8 1.5\n",
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"numpy 1.18.1\n",
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"json 2.0.9\n",
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"pandas 1.0.1\n",
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"watermark 2.0.2\n",
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"Mon May 11 2020 \n",
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"\n",
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"CPython 3.7.3\n",
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"IPython 6.2.1\n",
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"\n",
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"compiler : Clang 4.0.1 (tags/RELEASE_401/final)\n",
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"system : Darwin\n",
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"release : 19.4.0\n",
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"machine : x86_64\n",
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"processor : i386\n",
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"CPU cores : 8\n",
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"interpreter: 64bit\n",
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"Git hash : f06693032ded22cc83a4db4c4a7a590c1fa4bc94\n"
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]
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}
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],
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"source": [
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"%watermark -n -v -m -g -iv"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Load default figure style"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"plt.style.use('./d4sci.mplstyle')"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Start"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"<div style=\"width: 100%; overflow: hidden;\">\n",
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" <img src=\"data/D4Sci_logo_full.png\" alt=\"Data For Science, Inc\" align=\"center\" border=\"0\" width=300px> \n",
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"</div>"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.3"
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},
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"toc": {
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"base_numbering": 1,
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"nav_menu": {},
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"number_sections": true,
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"sideBar": true,
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"skip_h1_title": true,
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"title_cell": "Table of Contents",
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"title_sidebar": "Contents",
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"toc_cell": false,
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"toc_position": {},
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"toc_section_display": true,
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"toc_window_display": false
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},
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"varInspector": {
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"cols": {
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"lenName": 16,
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"lenType": 16,
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"lenVar": 40
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},
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"kernels_config": {
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"python": {
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"delete_cmd_postfix": "",
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"delete_cmd_prefix": "del ",
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"library": "var_list.py",
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"varRefreshCmd": "print(var_dic_list())"
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},
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"r": {
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"delete_cmd_postfix": ") ",
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"delete_cmd_prefix": "rm(",
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"library": "var_list.r",
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"varRefreshCmd": "cat(var_dic_list()) "
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}
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},
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"types_to_exclude": [
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"module",
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"function",
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"builtin_function_or_method",
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"instance",
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"_Feature"
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],
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"window_display": false
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

Diff for: ‎d4sci.mplstyle

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# Data For Science style
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# Author: Bruno Goncalves <[email protected]>
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# Modified from the matplotlib FiveThirtyEight style by
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# Author: Cameron Davidson-Pilon, replicated styles from FiveThirtyEight.com
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# See https://www.dataorigami.net/blogs/fivethirtyeight-mpl
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lines.linewidth: 4
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lines.solid_capstyle: butt
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legend.fancybox: true
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axes.prop_cycle: cycler('color', ['51a7f9', 'cf51f9', '70bf41', 'f39019', 'f9e351', 'f9517b', '6d904f', '8b8b8b','810f7c'])
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axes.labelsize: large
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axes.axisbelow: true
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axes.grid: true
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axes.edgecolor: f0f0f0
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axes.linewidth: 3.0
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axes.titlesize: x-large
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patch.edgecolor: f0f0f0
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patch.linewidth: 0.5
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svg.fonttype: path
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grid.linestyle: -
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grid.linewidth: 1.0
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xtick.major.size: 0
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xtick.minor.size: 0
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ytick.major.size: 0
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ytick.minor.size: 0
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font.size: 24.0
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savefig.edgecolor: f0f0f0
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savefig.facecolor: f0f0f0
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figure.subplot.left: 0.08
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figure.subplot.right: 0.95
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figure.subplot.bottom: 0.07
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figure.figsize: 12.8, 8.8
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figure.autolayout: True
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figure.dpi: 300

Diff for: ‎data/D4Sci_logo_ball.png

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Diff for: ‎data/D4Sci_logo_full.png

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Diff for: ‎requirements.txt

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matplotlib==3.1.3
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numpy==1.18.1
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pandas==1.0.1
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watermark==2.0.2

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