Anaconda
- https://www.anaconda.com/
- The Most Popular Python Data Science Platform
- Getting started with Anaconda | Anaconda: Documentation
- https://docs.anaconda.com/anaconda/user-guide/getting-started
Anaconda (Python distribution) - Wikipedia
- https://en.wikipedia.org/wiki/Anaconda_(Python_distribution)
- Anaconda is a free and open source distribution of the Python and R programming languages for data science and machine learning related applications (large-scale data processing, predictive analytics, scientific computing), that aims to simplify package management and deployment. Package versions are managed by the package management systemconda, which makes it quite simple to install, run, and update complex data science and machine learning software libraries like Scikit-learn, TensorFlow, and SciPy. Anaconda Distribution is used by over 6 million users, and it includes more than 250 popular data science packages suitable for Windows, Linux, and MacOS.
Anaconda (Python发行版) - 维基百科，自由的百科全书
- https://zh.wikipedia.org/wiki/Anaconda_(Python%E5%8F%91%E8%A1%8C%E7%89%88)
- Anaconda 是一种Python语言的免费增值开源发行版，用于进行大规模数据处理, 预测分析, 和科学计算, 致力于简化包的管理和部署。Anaconda使用软件包管理系统Conda进行包管理。
PyCharm: Python IDE for Professional Developers by JetBrains
- https://www.jetbrains.com/pycharm/
- Python IDE for Professional Developers
Download PyCharm: Python IDE for Professional Developers by JetBrains
PyCharm - Wikipedia
- https://en.wikipedia.org/wiki/PyCharm
- PyCharm is an Integrated Development Environment (IDE) used in computer programming, specifically for the Python language. It is developed by the Czech company JetBrains. It provides code analysis, a graphical debugger, an integrated unit tester, integration with version control systems (VCSes), and supports web development with Django.
PyCharm - 维基百科，自由的百科全书
- https://zh.wikipedia.org/wiki/PyCharm
- PyCharm是一个用于计算机编程的集成开发环境（IDE），主要用于Python语言开发，由捷克公司JetBrains开发。提供代码分析、图形化调试器，集成测试器、集成版本控制系统（Vcs），并支持使用Django进行网页开发。
Python IDE PyCharm 详细使用指南！
Building a Python 3 Conda Environment — Salish Sea MEOPAR documentation
增强 Jupyter Notebook 的功能，这里有 4 个妙招
- https://mp.weixin.qq.com/s/0PCz49JOcul0KNvp4UXOMg
- https://towardsdatascience.com/4-awesome-tips-for-enhancing-jupyter-notebooks-4d8905f926c5
哪种Python IDE最适合你？这里有一份优缺点列表
Python开发环境设置和小技巧
How to start Spyder IDE GUI under linux ?
- $ spyder