第2-7章jupyter notebook课件(1).zip第2-7章jupyter notebook课件(1).zip

基于jupyter的贝叶斯模型-bayes.zip

Learning Jupyter.pdf 电子版 高清 非扫描版 有目录 有书签

Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more 2018 packt出版社

主要内容： 1、数据可视化与标准化 2、历史模拟法 3、基于随机收益率序列的蒙特卡罗风险价值计算 4、基于几何布朗运动的蒙特卡罗模拟 等等

该资源以jupyter notebook为编辑器，使用 tensorflow为框架，实现了对Mnist手写数据集的识别。压缩包中包括在jupyter notebook中可以打开和运行的源代码MNIST.ipynb，以及Mnist手写数据集的数据MNIST_data。

通过该训练快速掌握Jupyter Notebook快捷键。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。

The Jupyter Notebook allows you to create and share documents that contain live code, equations, visualizations, and explanatory text. The Jupyter Notebook system is extensively used in domains such as data cleaning and transformation, numerical simulation, statistical modeling, and machine learning. Learning Jupyter 5 will help you get to grips with interactive computing using real-world examples. The book starts with a detailed overview of the Jupyter Notebook system and its installation in different environments. Next, you will learn to integrate the Jupyter system with different programming languages such as R, Python, Java, JavaScript, and Julia, and explore various versions and packages that are compatible with the Notebook system. Moving ahead, you will master interactive widgets and namespaces and work with Jupyter in a multi-user mode. By the end of this book, you will have used Jupyter with a big dataset and be able to apply all the functionalities you’ve explored throughout the book. You will also have learned all about the Jupyter Notebook and be able to start performing data transformation, numerical simulation, and data visualization.

用于解决ipython/jupyter notebook在浏览器中无法打开（打开空白）的注册文件，双击添加即可

使用simpleITK进行医疗图像的配准，上述是以jupyter 写的，有配准的意义