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Download Anaconda Distribution Version | Release Date:Download For: High-Performance Distribution Easily install 1,000+ data science packages Package Management Manage packages ...
Python is a widely used high-level, general-purpose, interpreted, dynamic programming language. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code than would be possible in languages such as C++ or Java.
Choose whether to add Anaconda to your PATH environment variable or register Anaconda as your default Python. We don’t recommend adding Anaconda to your PATH environment variable, since this can interfere with other software.
Ao seguir esses passos, você aprenderá como baixar, instalar e configurar o Anaconda no Python. O Anaconda é uma ferramenta poderosa para análise de dados e seu uso pode facilitar muito o desenvolvimento de projetos de ciência de dados. Experimente-o e aproveite todos os recursos que ele oferece.
Anaconda® Distribution is a 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.
Anaconda.org allows anyone to distribute their conda and standard Python packages to the world. We support package builders and their users: Individuals and organizations can manage and distribute software. Easy search and installation of packages from conda-forge , Bioconda, PyTorch, and more. Over 120 million packages requests every day.
The Operating System for AI. The world’s most trusted open ecosystem for sourcing, building, and deploying data science and AI initiatives. Makers & maintainers use Anaconda. Developers and contributors. Organizations use Anaconda.
Learn to use Anaconda Navigator to launch an application. Then, create and run a simple Python program with Spyder and Jupyter Notebook. Watch our short training videos on Anaconda Learning to get up and running with Jupyter Notebook and JupyterLab, along with several other popular integrated development environments (IDEs):
2 de jun. de 2021 · Com o gerenciador de pacotes do Anaconda, conhecido como conda, ou com o pip, você pode instalar novos pacotes sem se preocupar com conflitos de dependências. O Conda, além disso, simplifica a alternância entre as versões Python 2 e 3.
You’ll learn about packages, conda environments, Jupyter Notebooks, integrated development environments (IDEs), and more. We’ll walk you through a Python program (in a notebook and in an IDE) and see what happens when a bug in Python code is identified.
