Python Data Science Handbook This repository contains the entirePython Data Science Handbook, in the form of (free!) Jupyter notebooks. How to Use this Book About The book was written and tested with Python 3.5,
作者 Jake VanderPlas,Google Research 软件工程师,开源项目 PythonDataScienceHandbook(44k star)作者,Altair 可视化库创始人,scikit-learn 核心团队成员,SciPy 项目维护者,Matplotlib 和 pandas 等热门项目的贡献者。 因其长期致力于创建、开发和维护开源 Python 工具而在数据科学社区享有盛誉。 拥有美国华盛顿大学博士学位...
简体:SXKDZ/A-Whirlwind-Tour-of-Python 原版:A Whirlwind Tour of Python 繁体:Python 旋風之旅 (正體中文版) GitHub:jakevdp/WhirlwindTourOfPython Python Data Science Handbook 该书基于 Python 3.5 编写与测试,作为《A Whirlwind Tour of Python》的延伸版,对 IPython、Jupyter、Pandas、Numpy 都做了相对深入的...
Python Data Science Handbook Jupyter notebook content for my OReilly book, the Python Data Science HandbookThis repository contains the full listing of IPython notebooks used to create the book, including all text and code. The code was written and tested with Python 3.5, though most (but not...
Very popular machine learning framework in Python. It provides a lot of high-level APIs that enables the Data Scientist to train a deep learning model with the least code. 3. face_recognition (13 ranked, 42,762 stars) As its name, this project can Recognize and manipulate faces from Python...
作者Jake VanderPlas是Google Research的软件工程师,开源项目Python Data Science Handbook(44k star)的作者,Altair可视化库创始人,scikit-learn核心团队成员,SciPy项目维护者,Matplotlib和pandas等热门项目的贡献者。因其长期致力于创建、开发和维护开源Python工具而在数据科学社区享有盛誉。拥有美国华盛顿大学博士学位,曾任...
原文链接:https://towardsdatascience.com/top-11-github-repositories-to-learn-python-e75e8676757a 如果您是程序员,肯定已经了解平台GitHub。对于刚起步的人来说,GitHub不仅仅是一个托管代码的地方。在这里, 您可以与其他开发人员合作,并使用一系列专用工具来在线管理代码存储库。
Python Data Science Handbook 该书基于 Python 3.5 编写与测试,作为《A Whirlwind Tour of Python》的延伸版,对 IPython、Jupyter、Pandas、Numpy 都做了相对深入的讲解。 另外书中还介绍了数据可视化和机器学习的一些基本使用,建议有兴趣了解 Python 在数据科学领域应用的同学可以读一下。
Python Data Science Handbook Jupyter notebook content for my OReilly book, thePython Data Science Handbook This repository contains the full listing of IPython notebooks used to create the book, including all text and code. The code was written and tested with Python 3.5, though most (but not...
Supplemental materials for my OReilly project, the Python Data Science Handbook - GitHub - Dylienne/PythonDataScienceHandbook: Supplemental materials for my OReilly project, the Python Data Science Handbook