Teaching and Learning with Jupyter
An open book about Jupyter and its use in teaching and learning.
This repository is the source materials for the book "Teaching and Learning with Jupyter." It can be found here:https://jupyter4edu.github.io/jupyter-edu-book/
To view the book as HTML, and download it as PDF and other formats, please visit:https://jupyter4edu.github.io/jupyter-edu-book/
If you would like to contribute to this book, please see the file CONTRIBUTING.md.
Code of Conduct
Please note that this project is released with a Contributor Code of Conductbased on the Contributor Covenant code of conduct.The full code of conduct is available in theCODE_OF_CONDUCT.mdfile. By participating in this project you agree to abide by its terms.
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整体流程 $ sudo apt update $ sudo apt install python3-pip python3-dev $ sudo -H pip3 install --upgrade pip $ sudo -H pip3 install virtualenv $ mkdir jupyter_dir $ cd jupyter_dir $ virtualenv jupyter_env
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1、使用管理员身份打开Anaconda powershell prompt，进入Anaconda3下的envs，例如： cd D:\ProgramData\Anaconda3\envs 2、使用conda命令创建一个虚拟环境 conda create -p D:\xx\xx\环境名 python==x.x(x.x是Python的版本)(在指定路径) //conda create -n 环境名 p
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Jupyter notebook is formerly known as IPython notebook, it is a tool that helps you create readable analyses. Jupyter works with python kernel by default, but it also supports many other kernels. Keyb
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我是Java和编程的一年级新生，我正在coursera上学习算法。我想通过编写一个简单的二进制搜索并按照书上的说明进行练习，但是当我尝试使用algs4时。jar库由图书在线资源提供，库无法解析： 我尝试导入edu时出错。普林斯顿大学反恐精英。StdIn和Eclipse告诉我无法解析导入edu。我已经按照说明将jar文件作为引用库（通过project将classpath变量添加到项目的构建路径中
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Beyond Jupyter Notebooks �� All material from the PyCon.DE 2018 Talk "Beyond Jupyter Notebooks - Building your own data science platform with Python & Docker" Resources of the presentation Video of th
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OCaml Jupyter An OCaml kernel for Jupyter notebook. This provides an OCaml REPL with a great user interface such as markdown/HTML documentation, LaTeX formula by MathJax, and image embedding. Getting
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mkdocs-jupyter: Use Jupyter Notebooks in mkdocs Add Jupyter Notebooks directly to the mkdocs navigation Support for multiple formats: .ipynb and .py files (using jupytext) Same style as regular Jupyte
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Guide for Reproducible Research and Data Science in Jupyter Notebooks This guide is a community-resource of crowdsourced guidelines and tutorials for reproducible research in Jupyter Notebooks. This r