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  1. O Anaconda 3 é uma ferramenta poderosa para aprender Python, especialmente para iniciantes. Com seu ambiente completo, bibliotecas populares e suporte da comunidade, o Anaconda 3 oferece tudo o que você precisa para começar a programar em Python e explorar o mundo da ciência de dados e do aprendizado de máquina.

  2. 25 de abr. de 2024 · インストール手順. ・上記のリンクからAnacondaのダウンロードサイトにアクセスして、使用しているPCの環境に適しているかを確認した後、Downloadを押下する。. 任意の場所に保存する。. 「Next」. 「I Agree」. 「Just Me」→「Next」. インストール場所の選択「Next ...

  3. 19 de nov. de 2021 · Anaconda Individual Edition 2021.11 includes a new release of Anaconda Navigator – version 2.1.1. There have been a number of Navigator updates since the last Individual Edition release so there are a whole lot of important updates to talk about. In the latest release, there are quite a few changes to handling environments, including creating ...

  4. Our History. Anaconda was founded in 2012 by Peter Wang and Travis Oliphant out of the need to bring Python into business data analytics. The use of Python has since exploded, and it’s the most popular programming language used today. Anaconda now has over 300 full-time employees worldwide and is proud to serve over 40 million users!

  5. Anaconda® Distribution is a free Python/R data science distribution that contains: conda - a package and environment manager for your command line interface. Anaconda Navigator - a desktop application built on conda, with options to launch other development applications from your managed environments. 250 automatically-installed packages that ...

  6. Scikit Image. OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library with C++, Java, Python, and MATLAB interfaces. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products.

  7. Anaconda is a distribution of the Python and R programming languages for scientific computing ( data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment. The distribution includes data-science packages suitable for Windows, Linux, and macOS.

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