Python Data Science Handbook: full text in Jupyter Notebooks
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Updated
Oct 6, 2021 - Jupyter Notebook
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The Jupyter Notebook is a language-agnostic HTML notebook application for Project Jupyter. Jupyter notebooks are documents that allow for creating and sharing live code, equations, visualizations, and narrative text together. People use them for data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
Python Data Science Handbook: full text in Jupyter Notebooks
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
100-Days-Of-ML-Code中文版
Best Practices on Recommendation Systems
Dive into Machine Learning with Python Jupyter notebook and scikit-learn!
Most items coming from questions on the community forum
xref='paper'. Also the shapes and annotations tutorial should link to each other.PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
Custom Jupyter Notebook Themes
Now that #3490 has been merged, we should add more prometheus metrics to the notebook server!
Some ideas for metrics to add...
Best Practices, code samples, and documentation for Computer Vision.
Create HTML profiling reports from pandas DataFrame objects
A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
The notebook has its own internal idle-culling mechanisms, including shutting down idle kernels, shutting down itself when there's been no activity, and making decisions based on whether there are open connections or not. This is a lot more sophisticated, and offers much more granularity than the network-activity-based activity we have now.
For reference, we enable this config [on mybinder.org]
Example
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
Deep Learning (with PyTorch)
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
A collection of infrastructure and tools for research in neural network interpretability.
Jupyter notebooks for teaching/learning Python 3
利用Python进行数据分析 第二版 (2017) 中文翻译笔记
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
Repository to store sample python programs for python learning
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现,项目已得到李沐老师的认可
Jupyter notebooks from the scikit-learn video series
How to use Watcher / WatcherClient over tcp/ip network?
Watcher seems to ZMQ server, and WatcherClient is ZMQ Client, but there is no API/Interface to config server IP address.
Do I need to implement a class that inherits from WatcherClient?
The Go kernel for Jupyter notebooks and nteract.
Created by Jupyter Developers
Released December 2011
Latest release about 1 month ago
I opened jupyter notebook and openend the HTML.ipynb
I clicked on Cells>Run all
I waited for a while and then I got this result:
https://ibb.co/gRg3Z0n
If this can help I also got this message.
https://ibb.co/ZcbtH1N
How can I fix this so that I can generate the HTML code?
Thanks in advance