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  1. 26 de jun. de 2024 · Anaconda is a popular Python/R data science platform available for novice users, data scientists, and other scientific communities. The platform is an open-source distribution (distro), meaning users can experiment with Python/R for data science and machine learning on commonly used operating systems like Linux, Windows, and Mac OS X.. In this tutorial, we will provide a step-by-step guide on ...

  2. Hace 5 días · linux-64 v2024.7.4; osx-64 v2024.7.4; win-64 v2024.7.4; osx-arm64 v2024.7.4; linux-ppc64le v2024.7.4; linux-aarch64 v2024.7.4; win-32 v2018.4.16; conda install To ...

  3. Hace 1 día · Python Tutorials → In-depth articles and video courses Learning Paths → Guided study plans for accelerated learning Quizzes → Check your learning progress Browse Topics → Focus on a specific area or skill level Community Chat → Learn with other Pythonistas Office Hours → Live Q&A calls with Python experts Podcast → Hear what’s new in the world of Python Books →

  4. 19 de jun. de 2024 · Anaconda是一个开源的跨平台Python发行版本,支持WindowsmacOSLinux操作系统。Anaconda中包含了conda等180多个科学包及其依赖项。其中conda则是一个开源的软件包管理系统和环境管理系统,用于安装多个版本的软件包及其依赖关系,并在它们之间轻松切换。

  5. pypi.org › project › fitterfitter · PyPI

    24 de jun. de 2024 · The fitter package is a Python library used for fitting probability distributions to data. It provides a straightforward and and intuitive interface to estimate parameters for various types of distributions, both continuous and discrete. Using fitter, you can easily fit a range of distributions to your data and compare their fit, aiding in the ...

  6. pypi.org › project › openbbopenbb · PyPI

    19 de jun. de 2024 · Python >>> from openbb import obb >>> output = obb. equity. price. historical ("AAPL") >>> df = output. to_dataframe >>> df. head open high low... change_percent label change_over_time date... 2022-09-19 149.31 154.56 149.10... 3.46000 September 19, 22 0.034600 2022-09-20 153.40 158.08 153.08... 2.28000 September 20, 22 0.022800 2022 ...

  7. scipy.orgSciPy

    Fundamental algorithms for scientific computing in Python Get started. SciPy 1.14.0 released! 2024-06-24. Fundamental algorithms SciPy provides algorithms for optimization, integration, interpolation, eigenvalue problems, algebraic equations, differential equations, statistics and many other classes of problems. Broadly ...

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