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Jaconda

Jaconda is an open-source platform for data science and machine learning. It provides a Python distribution with pre-installed libraries focused on scientific computing. Key features include conda for package management, Jupyter notebooks for interactive computing, and support for Linux, Windows and MacOS.

What is Jaconda?

Jaconda is an open source distribution of the Python programming language focused on scientific computing. It simplify package management and deployment by providing pre-built distributions of Python that include the most popular data science and machine learning libraries such as NumPy, Pandas, SciPy, scikit-learn, and TensorFlow.

Some key features and capabilities of Jaconda include:

  • Conda package manager – Makes installing and managing Python packages and their dependencies easy, allowing different package versions and environments to coexist.
  • Jupyter notebooks – An interactive computing interface ideal for data exploration, visualization, and sharing.
  • Pre-installed packages – Comes preloaded with 150+ of the most used Python packages for data science, so you can start coding without installations.
  • Cross-platform – Available for Linux, Windows and macOS with consistent behavior and experience across platforms.
  • Anaconda Navigator – A desktop graphical user interface to easily launch applications and manage conda environments.
  • Support for other languages – Interoperability with R, Julia, Scala, Java, C/C++, and more.

With its robust package management via conda, powerful Jupyter interface, and curated set of pre-installed data science packages, Jaconda aims to provide everything needed for data science in one user-friendly platform.

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