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Notebook Examples. What is the Jupyter Notebook? Notebook Basics; Running Code; Markdown Cells; Keyboard Shortcut Customization; Keyboard Shortcut Customization (Pre Notebook 5.0) Embracing web standards; Importing Jupyter Notebooks as Modules; Connecting to an existing IPython kernel using the Qt Console; Motivating Examples; What to do when. Chapter 5: IPython and IPython Notebook; Examples; Examples. Using Markdown in Jupyter Notebook; E5.1 RNA codons.

Notebook Examples — Jupyter Notebook 6

Examples - scipytho

  1. I am trying to use IPython notebook on MacOS X with Python 2.7.2 and IPython 1.1.0. I cannot get matplotlib graphics to show up inline. import matplotlib import numpy as np import matplotlib.pyplot as plt %matplotlib inline I have also tried %pylab inline and the ipython command line arguments --pylab=inline but this makes no difference
  2. Gallery of IPython Notebooks in Python/v3 Get started with IPython notebooks with this set of examples. A collection of practical IPython notebooks for interactive graphing with Plotly, data science, technical computing, and more
  3. 3.3. Mastering widgets in the Jupyter Notebook. This is one of the 100+ free recipes of the IPython Cookbook, Second Edition, by Cyrille Rossant, a guide to numerical computing and data science in the Jupyter Notebook.The ebook and printed book are available for purchase at Packt Publishing. Text on GitHub with a CC-BY-NC-ND license Code on GitHub with a MIT licens
  4. A basic overview of the Jupyter Notebook App and its components,; The history of Jupyter Project to show how it's connected to IPython,; An overview of the three most popular ways to run your notebooks: with the help of a Python distribution, with pip or in a Docker container,; A practical introduction to the components that were covered in the first section, complete with examples of Pandas.
  5. Export and convert IPython notebooks. This function can export the current IPython history to a notebook file. For example, to export the history to foo.ipynb do %notebook foo.ipynb. The -e or -export flag is deprecated in IPython 5.2, and will be removed in the future. positional arguments: filename Notebook name or filename %page
  6. The following are 19 code examples for showing how to use IPython.display.IFrame().These examples are extracted from open source projects. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example
  7. A Jupyter Python Notebook is used to run this code. Calls to Azure Cognitive Search are through the REST APIs. This sample is a Jupyter Python3 .ipynb file used in Quickstart: Create and query a search index using a Jupyter Python notebook. Content

How to Use Jupyter Notebook in 2020: A Beginner's Tutoria

Furthermore we'll explore the basic functionality of Jupyter Notebook and you'll be able to try out first examples. This is at the same time the beginning of a series of Python-related. Working with Jupyter Notebooks in Visual Studio Code. Jupyter (formerly IPython Notebook) is an open-source project that lets you easily combine Markdown text and executable Python source code on one canvas called a notebook.Visual Studio Code supports working with Jupyter Notebooks natively, as well as through Python code files.This topic covers the native support available for Jupyter.

The example Azure Machine Learning Notebooks repository includes the latest Azure Machine Learning Python SDK samples. These Juypter notebooks are designed to help you explore the SDK and serve as models for your own machine learning projects. This article shows you how to access the repository from the following environments Jupyter notebook examples¶. The Jupyter notebook (formerly known as IPython notebook) is a very nice platform for illustrating Clawpack examples.. If you have used Clawpack with the Jupyter notebook, please send us a link or submit a pull request to the apps repository.The links below will take you to the nbviewer site, where you can view the notebooks as html The IPython session shown here plots a sine wave using qt toolkit − While using Jupyter notebook, %matplotlib inline directive displays plot output in the browser only. %notebook. This function converts current IPython history into an IPython notebook file with ipynb extension. The input cells in previous example are saved as sine.ipyn They are formerly known as ipython notebooks. The following are some of the features of Jupyter notebooks that makes it one of the best components of Python ML ecosystem − Jupyter notebooks can illustrate the analysis process step by step by arranging the stuff like code, images, text, output etc. in a step by step manner IPython is an alternative Python interpreter that provides improvements over the default Python interpreter. These improvements include syntax highlight, proper indentation, documentation, and much more. With iPython, you can also use Jupyter notebooks to create reports that contain live code, charts, and more

Jupyter Notebook Tutorial Python Plotl

Python Examples of tkinter

Select an example below and you will get a temporary Jupyter server just for you, running on mybinder.org . If you Try Classic Notebook. A tutorial introducing basic features of Jupyter notebooks and the IPython kernel using the classic Jupyter Notebook interface. Try JupyterLab. JupyterLab is the new interface for. Apache Spark Word Count example - Spark Shell - Duration: 11:23. Demi Ben-Ari spark,ipython notebook,Use IPython Notebook with Apache Spark,Configure IPython Notebook for PySpark. The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more

The IPython Notebook — IPython 3

  1. The samples are categorized by the user profile they are most relevant to. Most samples are in the form of a Jupyter Notebook, that can be viewed online, or downloaded and run interactively. A few samples are provided as stand-alone Python scripts in the accompanying GitHub SDK repository. Download and run the sample notebooks
  2. Oh, they're all Python-focused. Jupyter now includes support for a wide range of languages, but this list is old school, and is straight IPython Notebook style material. So here they are: 10 useful IPython Notebook Github repositories in no particular order: Example Data Science Notebook
  3. d-bendingly sane that I didn't even need to read any documentation to understand it. So, instead, I wrote a bit of code that gobbles up matplotlib example scripts and spits out IPython Notebooks. The whole notebook is JSON, but I only want simple things, so I hardcode everything except for the.

Blogging with the IPython Notebook Example. Tue 22 April 2014. This is the first line of the notebook¶. In [1] IPython Notebook FFT Example. GitHub Gist: instantly share code, notes, and snippets. Skip to content. All gists Back to GitHub Sign in Sign up Sign in Sign up {{ message }} Instantly share code, notes, and snippets. jedludlow / ipython_fft_example.ipynb. Created Oct 19, 2012. Star

The Jupyter Notebook — IPython

How to Install and Run Jupyter Python Notebook [Complete Guide with Example] Aniruddha Chaudhari / 42441 / 6. Code Python Software Installation. In this tutorial, you will learn Python commands to install and to run Jupyter Python Notebook in Windows/Linux/MacOS using pip tool IPython, Jupyter Notebooks, and matplotlib. Jan 16, 2016. Two and a half years ago, I wrote a post about programming in Python.One of my tips was to use the Python shell, so that one can quickly test simple commands before integrating them in a more complicated project Jupyter (IPython) notebooks features¶ It is very flexible tool to create readable analyses, because one can keep code, images, comments, formula and plots together: Jupyter is quite extensible, supports many programming languages, easily hosted on almost any server — you only need to have ssh or http access to a server. And it is completely. IPython Cookbook, Second Edition (2018) IPython Interactive Computing and Visualization Cookbook, Second Edition (2018), by Cyrille Rossant, contains over 100 hands-on recipes on high-performance numerical computing and data science in the Jupyter Notebook.. Most of the book is freely available on this website (CC-BY-NC-ND license). Get the code as Jupyter notebooks I'm wondering if it's possible to populate sys.argv (or some other structure) with command line arguments in a jupyter/ipython notebook, similar to how it's done through a python script.. For instance, if I were to run a python script as follows: python test.py False. Then sys.argv would contain the argument False.But if I run a jupyter notebook in a similar manner

python - How to make IPython notebook matplotlib plot

1. Invoke Python Script File From Jupyter Notebook. Create a jupyter notebook file like below, the jupyter notebook file name is InvokePythonScript.ipynb.. ( We will introduce list_file.py and list_file_path.py later.; Click file InvokePythonScript.ipynb to edit it.; Add first line cell and input below source code This page contains all Python scripts that we have posted our site so far. Examples Using pywhois pywhois is a Python module for retrieving WHOIS information of domains. pywhois works with Python 2.4+ and no external dependencies [Source] Magic 8-ball In this script I'm using 8 possible answers, but please feel free to add more [ imolecule in the IPython notebook¶ I created imolecule to fix a deficiency in my workflow. While my chemical simulations were entirely in notebooks, I had to use external programs like mercury to visually debug chemical structures. Mercury is a good program, but dropping out of the notebook felt clumsy and made my work less reproducible

Gallery of IPython Notebooks Python/v3 Plotl

  1. The IPython kernel is designed to work seamlessly with the matplotlib plotting library to provide this functionality. To set this up, before any plotting or import of matplotlib is performed you must execute the %matplotlib magic command. Plotting with Matplotlib example notebook
  2. This blog post is a step-by-step tutorial to install Python and Jupyter Notebook to Windows 10 (64 bit). Python 3.3 or greater, or Pytho
  3. A python statement can be executed from javascript as follows: var kernel = IPython.notebook.kernel; kernel.execute(command); where command is a string containing python code. Here is a short example where we use HTML elements and javascript callbacks to execute a statement in the Python kernel from Javascript, using the kernel.execute command
  4. For example, if we wanted to, we could set a few of our Slider's properties when we create it: import ipywidgets as widgets from IPython.display import display btn = widgets.IntSlider(value=10, description='My Slider', orientation='vertical') display(btn
  5. use? I'm trying to make a justification for IPython Notebook in my environment and want to present something to my leadership. I'm still learning how to use it, and would like to be able to show them something well-polished

Notebook Examples » What is the The default kernel runs Python code. The notebook provides a simple way for users to pick which of these kernels is used for a given notebook. Each of these kernels communicate with the notebook web application and web browser using a JSON over ZeroMQ/WebSockets message protocol that is described here Update (May 2014): Please note that these instructions are outdated. while it is still possible (and in fact easier) to blog with the Notebook, the exact process has changed now that IPython has an official conversion framework. However, Blogger isn't the ideal platform for that (though it can be made to work). If you are interested in using the Notebook as a tool for technical blogging, I. 1.1. Notebook document ¶. Notebook documents (or notebooks, all lower case) are documents produced by the Jupyter Notebook App, which contain both computer code (e.g. python) and rich text elements (paragraph, equations, figures, links, etc).Notebook documents are both human-readable documents containing the analysis description and the results (figures, tables, etc..) as well as.

3.3. Mastering widgets in the Jupyter Notebook - IPython

In addition to the notebooks in this repository, which you can also find on the Azure Notebooks samples library, there are some good external resources as well: Intro to Jupyter notebooks; Intro to Data Science by Jake Vanderplas; See the Sample notebooks on Azure Notebooks front page; A curated list of interesting Jupyter notebooks Using widgets to interact with your python code from the web browser. IPython widgets using interact function to have nice web widgets in HTML, Javascript an..

Here are some examples that demonstrate how to work with Cognos Analytics data sources in a notebook using the Python programming language.. Reading a file. The following example reads a file called SampleFile_GOSales.xls, outputs the entire file, and then specifies the nrows and usecols parameters to output the City and Quantity columns for the first 2 rows of data in the file Code Examples. Tags; python - كيف يمكنني عرض صورة من ملف في Jupyter Notebook؟ ipython jupyter-notebook (5).

(Tutorial) Jupyter Notebook: The Definitive Guide - DataCam

The Earth Engine Python API can be deployed in a Google Colaboratory notebook. Colab notebooks are Jupyter notebooks that run in the cloud and are highly integrated with Google Drive, making them easy to set up, access, and share. If you are unfamiliar with Google Colab or Jupyter notebooks, please spend some time exploring the Colab welcome site On the remote machine, start the IPython notebooks server:. remote_user@remote_host$ ipython notebook --no-browser --port=8889 Usually IPython opens a browser to display the available notebooks, but we do not need that so we use the option --no-browser.We also change the port to 8889, for no other reason than to show how this is done jgraph in the IPython notebook¶ I wrote jgraph to visualize graphs in 3D purely out of curiosity. I couldn't find any 3D force-directed graph libraries when I wrote it, so this happened. It can be used with the notebook to interactively view graph data. Some graphs just look nicer in 3D. To use, send it Python objects IPython Notebook is installed. Running IPython Notebook. For Mac and Linux users, open up your terminal. Windows users need to open up their Command Prompt. Change directories in the terminal (using the cd command) to the working directory where you want to store your IPython Notebook data. To run IPython Notebook, enter the following command.

Built-in magic commands — IPython 7

  1. The other day, I received a complaint that my original notebook example in my Book control series was too complicated. I don't really write just n00b-friendly articles and never claimed to, but this comment rankled, so I decided to write a super simple example for the wxPython newbies. I hope you like it! import random Continue reading wxPython: A Simple Notebook Example
  2. IPython provide a lot of magic commands, with %%writefile command, you can create text file and write text to it in ipython interface and jupyter notebook easily. This article will show you two examples to demo how to use it
  3. Embedding content in a Python notebook You can embed other content than text and code in a notebook. In a Jupyter notebook runing Python there is a range of embedding classes you can import from the IPython.displaymodule, e.g., to include HTML, image les, YouTube videos and (content from) iframes. fromIPython.displayimport(HTML, Image
  4. Для установки Jupyter или iPython Notebook у вас должен быть установлен python по крайней мере на версии 2.7.3+ или 3.3+ - python может быть установлен с основного сайта python, из вашего дистрибутива Linux / OS-X или как один из пакетов, таких как.
  5. g languages, originally developed for the Python program
  6. Notebooks made for teaching! A sophisticated course management system keeps track of all notebooks of all students. It manages distributing and collecting files as well as grading. CoCalc's Jupyter Notebooks fully support automatic grading!The teacher's notebook contains exercise cells for students and test cells, some of which students can also run to get immediate feedback

Python Examples of IPython

After trying different solutions I have found two possible solutions for both Python and R that works perfectly. Python solution. Let's first discu s s the solution when running Python in the IPython notebook. We could use the Image class of IPython.display to load and display a local image in the IPython notebook A while ago, I wrote a post, Start a Jupyter (IPython) Notebook Server on AWS. While that approach allows for multiple people to access the server with just a password, it suffers from being complicated to setup. Most people just want to use a Jupyter Notebook using their AWS resources without the hassle. With that, here is how you do it Regression related Notebooks¶. Simple linear regression with t-statistic generation (Here is the Notebook)Linear regression as a statistical estimation problem (Here is the Notebook)Multiple ways to perform linear regression in Python and their speed comparison (Here is the Notebook).Also check the article I wrote on freeCodeCamp; Multi-variate regression with regularization (Here is the.

See examples of using Spark Structured Streaming with Cassandra, Azure Synapse Analytics, Python notebooks, and Scala notebooks in Databricks A protip by dawehner about python, notebook, and ipython. import sys, time try: from IPython.core.display import clear_output have_ipython = True except ImportError: have_ipython = False class ProgressBar: def __init__(self, iterations): self.iterations = iterations self.prog_bar = '[]' self.fill_char = '*' self.width = 40 self.__update_amount(0) if have_ipython: self.animate = self.animate. Welcome to Part II of Advanced Jupyter Notebook Tricks. In Part I, I described magics, and how to calculate notebooks in batch mode to use them as reports or dashboards. In this post, I describe another powerful feature of Jupyter Notebooks: The ability to use interactive widgets to build interactive dashboards. The included examples are [ Tutor Magic in IPython¶. This notebook demonstrates the %%tutor magic as used in IPython notebook. First, you'll need the following installed: IPython/Jupyte Most samples are in the form of a Jupyter Notebooks, that can be viewed online, or downloaded and run interactively. Other samples are provided as stand-alone Python scripts in the GitHub SDK repository. Download and run the sample notebooks¶ To run the sample notebooks locally, you need the ArcGIS API for Python installed on your computer

Video: Quickstart in Python - Jupyter Notebook - Code Samples

More examples; Standard plot. Paste the following code in a python file; Execute it (either selecting the code or using the Run cell code lens). #%% import matplotlib.pyplot as plt import numpy as np import mpld3 mpld3.enable_notebook() fig, ax = plt.subplots(subplot_kw=dict. IPython notebook目前已经成为用Python做教学、计算、科研的一个重要工具。关于其发展,以及介绍,感兴趣可以找文献阅读。本文主要讲解的是它的基本用法和技巧。 IPython Notebook使用浏览器作为界面,向后台的IPython服务器发送请求,并显示结果 15. IPython Magic - High-resolution plot outputs for Retina notebooks. One line of IPython magic will give you double resolution plot output for Retina screens, such as the more recent Macbooks. Note: the example below won't render on non-retina screens. x = range(1000) y = [i ** 2 for i in x] plt.plot(x,y) plt.show()

Getting Started With Jupyter Notebook for Python by

Ejemplo. Instrucciones detalladas sobre cómo configurar o instalar ipython-notebook: Tenga en cuenta: iPython Notebook ya no es compatible ya que todas las funciones se han trasladado al proyecto Jupyter. Requisito previo . Para instalar Jupyter o iPython Notebook, debe tener python instalado al menos en la versión 2.7.3+ o 3.3+: python puede instalarse desde el sitio principal de python. Colab notebooks allow you to combine executable code and rich text in a single document, along with images, HTML, LaTeX and more. When you create your own Colab notebooks, they are stored in your Google Drive account. You can easily share your Colab notebooks with co-workers or friends, allowing them to comment on your notebooks or even edit them Dynamic simulation of two boxes. FreeCAD / sympy / pydy. Enterprise . Get your team aligned with all the tools you need on one secure, reliable video platform List of Python examples as Jupyter notebooks The best way to learn about and interact with the Python interface to the ParaMonte library is via the Jupyter notebooks. The following is a list of example Jupyter Notebooks that are currently kept in the examples repository of the package on GitHub You can also create plots in an IPython notebook. For example, typing plt.plot([1,2,3,2,3,4,3,4,5]) and pressing Shift-Enter produces the same plot shown in the Interactive plot window figure. The plot is produced in line and not in a separate window, because we used the --matplotlib inline switch when we launched IPython Notebook

mesh20x20 FiPy example implemented as an IPython notebook. This examples solves a two-dimensional diffusion problem in a square domain and demonstrates the use of applying boundary condition patches To try the new native notebook, follow the instructions below: Make sure the Python extension is activated. You can do so by creating a new notebook (Ctrl + Shift + P Python: Create New Blank Jupyter Notebooks). File -> Open Folder Right click on the .ipynb file you would like to open and select Open in preview Notebook Editor Examples on how to add interactive controls to jupyter notebooks. This is useful when you need to share notebooks but there's user-specific information you want peopl In the following tutorial you will be guided through the process of installing Jupyter Notebook. Furthermore we'll explore the basic functionality of Jupyter Notebook and you'll be able to try out first examples. This is at the same time the beginning of a series of Python-related tutorial on CodingTheSmartWay.com. From the very beginning you'll learn everything to need to know to use. Jupyter and Colab Notebooks. Before we dive into Python, we'd like to briefly talk about notebooks. A Jupyter notebook lets you write and execute Python code locally in your web browser. Jupyter notebooks make it very easy to tinker with code and execute it in bits and pieces; for this reason they are widely used in scientific computing

How do I omit matplotlib printed output in Python

Working with Jupyter Notebooks in Visual Studio Cod

Which means we will change the working directory to: E:\workspace-nlp\Example Run this command, you will get this result. Then open jupyter notebook by your browser, you will find the working directory is changed This tutorial explains matplotlib's way of making python plot, like scatterplots, bar charts and customize th components like figure, subplots, legend, title. Explained in simplified parts so you gain the knowledge and a clear understanding of how to add, modify and layout the various components in a plot

Embedding Interactive Charts on an IPython Notebook; Embedding D3 in an IPython Notebook; Though quite progresses have been made in those approaches, they were kind of hacks. Now, we have language agnostic Jupyter which was forked from IPython, we can take the D3 into Notebook without lots of effeorts So if you are quite new to programming, Python is a great place to start. The current version is Python 3, which is what we'll be using here. One way to code in Python is to use a Jupyter notebook. This is probably the best way to combine programming, text and images. In a notebook, everything is laid out in cells Python is a programming language with virtually limitless functionalities and one of the best languages for working with data. Jupyter Notebooks, on the other hand, is the most popular tool for running and sharing both your Python code and data analysis. Putting Python and Notebooks together with Google Analytics, the most popular and a really powerful tool for tracking websites, gives you.

Jupyter Notebook Dark (originally from Ipython

Gurobi Jupyter Notebook Modeling Examples are mathematical optimization models coded using the Gurobi Python API and implemented with Jupyter Notebooks. These Jupyter Notebook Modeling Examples: Teach you how to build mathematical optimization models of real-world business, engineering, or scientific problem using Python Here is the same table as above, rendered in HTML in the iPython notebook. Relative links won't work, but in the example below the image of the ISS shows up correctly because its src is an absolute link. # for ipython notebook display from IPython.core.display import display, HTML display. IPython notebook became a very popular tool for programming short scripts in Python, interactive computing, sharing code, teaching or even demonstrations. Its advantage is the possibility to combine Python code with graphics, HTML, videos or even interactive JavaScript objects in one notebook. With this functionality it may also serve as a great presentation tool Install Python package using Jupyter Notebook Last Updated: 06-03-2020 Jupyter Notebook is an open-source web application that is used to create and share documents that contain data in different formats which includes live code, equations, visualizations, and text In this article by Cyrille Rossant, coming from his book, Learning IPython for Interactive Computing and Data Visualization - Second Edition, we will see how to use IPython console, Jupyter Notebook, and we will go through the basics of Python.. Originally, IPython provided an enhanced command-line console to run Python code interactively. The Jupyter Notebook is a more recent and more.

Mandelbrot Example Notebook. Here are some fractals in an IPython Notebook to introduce you to some fast calculation techniques. 4 comments. share. save hide report. 88% Upvoted. This thread is archived. New comments cannot be posted and votes cannot be cast. Sort by. best Jupyter Notebook Widget Example¶. An example of using widgets in a Jupyter Notebook. This example is only intended to be run in a Jupyter Notebook running a Python kernel as it displays the ability to use widgets and make an interactive plot Getting Started with Python 2.Open a Notebook file 3.Start writing a JupyterNotebook 4.Install other libraries to Anaconda This document includes how to: (For Windows users) Plus I list some Python and Jupyterlearning resources! 1. For example: click Documents. The plotted graph is shown below. Further Reading. M. J. Keeling and P. Rohani, Modeling Infectious Diseases in Humans and Animals, Princeton (2007). R. M. Anderson and R. M. May, Infectious Diseases of Humans: Dynamics and Control, OUP (1992).Infectious Diseases of Humans: Dynamics and Control, OUP (1992)

The IPython notebook is actually a special case of the broader Jupyter notebook structure, which encompasses notebooks for Julia, R, and other programming languages. As an example of the usefulness of the notebook format, look no further than the page you are reading: the entire manuscript for this book was composed as a set of IPython notebooks Among several examples the notebook includes a function computing the number of ways to place N queens on a checkerboard. Note that this package is not currently very well polished but it should give some ideas of what can be done through this Python-OCaml integration. We also compared the OCaml and Python implementation on this N-queens problem

Skulpt Python as a Jupyter Notebook - YouTube

Example Jupyter notebooks - Azure Machine Learning

Data science and analysis notebooks. Data science workflows aid in decision making. These sample notebooks use the big data processing and analysis capabilities of ArcGIS Notebook Server to quickly and efficiently provide insights and best options. Some sample notebooks require additional capabilities in your ArcGIS Enterprise deployment, as noted below If you do not use the %%sql magic in your Jupyter notebook, the output of your SQL queries will be just a plain list of tuples. A better way to work with the result sets returned is to draw them as a table with the headers. This is where the IPython SQL magic gets very handy Here's how to debug your code when using a Jupyter/iPython notebook. Use Tracer()(). Here's an example using a simple function (based on this lucid explanation). def test_debug(y): x = 10 # One-liner to start the debugger here. from IPython.core.debugger import Tracer; Tracer()() x = x + y for i in range(10): x = x+i return Continue reading How to debug a Jupyter/iPython notebook

Jupyter (IPython) notebooks featurespython - How can I execute the code line by line in

Jupyter Notebook Python Extensions, Themes and Addons. Let's look at an example below. Firstly we run the command that lists out all the available themes:!jt -l Available Themes: chesterish grade3 gruvboxd gruvboxl monokai oceans16 onedork solarizedd solarizedl. So if we wanted to. Introduction. I am pleased to have another guest post from Duarte O.Carmo.He wrote series of posts in July on report generation with Papermill that were very well received. In this article, he will explore how to use Voilà and Plotly Express to convert a Jupyter notebook into a standalone interactive web site. In addition, this article will show examples of collecting data through an API. An Example Notebook¶ To show off a more exciting use-case, let's create a notebook that plots some data for us. We'll use matplotlib, a Python library that is used for plotting data, and NumPy, the premiere library for doing numerical work in Python. We will import these libraries for use in our code

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