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python tutorial init
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‎.gitignore

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a*.out

‎.gitpod.Dockerfile

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# This will pull the official Gitpod `vnc` image
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# which has much of what you need to start
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FROM gitpod/workspace-full-vnc
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USER gitpod
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# Install wxPython dependencies
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#RUN sudo apt-get -q update && \
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# sudo DEBIAN_FRONTEND=noninteractive apt-get install -yq freeglut3-dev libgl1-mesa-dev libglu1-mesa-dev libgstreamer-plugins-base1.0-dev libgtk-3-dev libnotify-dev libsdl2-dev libwebkit2gtk-4.0-dev libxtst-dev libgtk2.0-dev && \
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# sudo rm -rf /var/lib/apt/lists/*
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# Install wxPython
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#RUN pip3 install -U -f https://extras.wxpython.org/wxPython4/extras/linux/gtk3/ubuntu-18.04/ wxPython

‎.gitpod.yml

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# CodingCoffee C/C++ GitPod Examples more courses : http://www.codingcoffee.org
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image:
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file: .gitpod.Dockerfile
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tasks:
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- init: echo 'this is c c++ hello gitpod example' && pip3 install -r requirements.txt && sudo apt-get -y install python3-scipy
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command: echo 'build hello.c and hello.cpp' && cp -r /workspace/python_tutorial/.jupyter /home/gitpod/
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# CodingCoffee C/C++ GitPod Examples more courses : http://www.codingcoffee.org
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ports:
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- port: 8050
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onOpen: open-preview
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- port: 8888
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onOpen: open-browser
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- port: 3000
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onOpen: open-preview
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- port: 6080
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onOpen: open-preview
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- port: 5900
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onOpen: ignore
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- port: 35900
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onOpen: ignore

‎.ipynb_checkpoints/Untitled-checkpoint.ipynb

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "50a0f414",
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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 (ipykernel)",
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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": "3.8.16"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}

‎.ipynb_checkpoints/Untitled1-checkpoint.ipynb

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{
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"cells": [],
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"metadata": {},
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"nbformat": 4,
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"nbformat_minor": 5
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}

‎.ipynb_checkpoints/Untitled2-checkpoint.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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"id": "b5732900",
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"metadata": {},
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"source": [
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"# High School Math "
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]
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},
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{
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"cell_type": "markdown",
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"id": "5687716e",
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"metadata": {},
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"source": [
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"## Polynomial"
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]
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},
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{
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"cell_type": "markdown",
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"id": "a221dd79",
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"metadata": {},
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"source": [
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"Latex Eguation Example \n",
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"\n",
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"\n",
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"- $x + y$\n",
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"- $x - y$\n",
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"- $x \\times y$ \n",
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"- $x \\div y$\n",
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"- $\\dfrac{x}{y}$\n",
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"- $\\sqrt{x}$'\n",
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"\n",
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"### Latex expression\n",
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" $x + y$\n",
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" $x - y$\n",
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" $x \\times y$ \n",
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" $x \\div y$\n",
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" $\\dfrac{x}{y}"
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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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"id": "e4d21882",
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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 (ipykernel)",
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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": "3.8.16"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}

‎.ipynb_checkpoints/Untitled3-checkpoint.ipynb

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{
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"cells": [],
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"metadata": {},
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"nbformat": 4,
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"nbformat_minor": 5
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}

‎.ipynb_checkpoints/highschool-math_1_Polynomial_I-checkpoint.ipynb

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‎.ipynb_checkpoints/highschool-math_2_Polynomial_II-checkpoint.ipynb

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‎.ipynb_checkpoints/highschool-math_3_statistic-checkpoint.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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"id": "6883cb26",
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"metadata": {},
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"source": [
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"# High School Math"
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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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"id": "9e77cb3e",
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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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"4.5\n"
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]
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}
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],
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"source": [
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"import statistics\n",
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"\n",
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"arr = [1, 2, 3, 4, 5, 6, 7, 8]\n",
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"a = statistics.mean(arr) \n",
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"print(a) "
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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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"id": "d98e0806",
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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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"4.5\n",
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"4\n"
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]
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}
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],
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"source": [
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"import statistics\n",
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"\n",
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"arr = [1, 2, 3, 4, 5, 6, 7, 8]\n",
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"arr2 = [1, 2, 3, 4, 5, 6, 7]\n",
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"a = statistics.median(arr) \n",
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"b = statistics.median(arr2) \n",
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"print(a) # 4.5\n",
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"print(b) # 4"
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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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"id": "9493fadc",
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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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"4\n",
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"5\n"
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]
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}
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],
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"source": [
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"import statistics\n",
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"\n",
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"arr = [1, 2, 3, 4, 5, 6, 7, 8]\n",
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"a = statistics.median_low(arr) \n",
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"b = statistics.median_high(arr) \n",
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"print(a) # 4\n",
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"print(b) # 5"
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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": 4,
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"id": "a0a3bde6",
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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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"4\n"
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]
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}
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],
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"source": [
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"import statistics\n",
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"\n",
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"arr = [1, 2, 2, 3, 4, 4, 4, 4, 4, 4, 5, 5]\n",
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"a = statistics.mode(arr) \n",
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"print(a) # 4"
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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": 5,
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"id": "24726d94",
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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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"l\n"
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]
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}
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],
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"source": [
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"import statistics\n",
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"\n",
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"text = 'hello world'\n",
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"a = statistics.mode(text) \n",
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"print(a) # l"
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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": 6,
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"id": "6f43f7e6",
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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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"2.581988897471611\n",
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"6.666666666666667\n"
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]
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}
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],
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"source": [
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"import statistics\n",
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"\n",
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"arr = [1, 2, 3, 4, 5, 6, 7, 8, 9]\n",
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"a = statistics.pstdev(arr)\n",
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"b = statistics.pvariance(arr)\n",
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"print(a) # 2.581988897471611\n",
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"print(b) # 6.666666666666667"
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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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"id": "886cf10e",
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"metadata": {},
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"outputs": [],
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"source": [
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"import statistics\n",
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"\n",
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"arr = [1, 2, 3, 4, 5, 6, 7, 8, 9]\n",
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"a = statistics.stdev(arr)\n",
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"b = statistics.variance(arr)\n",
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"print(a) # 2.7386127875258306\n",
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"print(b) # 7.5"
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]
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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 (ipykernel)",
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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": "3.8.16"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}

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