Anaconda Distrubution
More than 1000 data science packages can be installed in Anaconda Distribution.
The dependencies between environment and packages are taken into consideration in Anaconda Distribution.
The dependencies between packages are also taken into consideration.
Why Over 4.5 Million Users Love Anaconda Distribution
- Data Science Libraries
- Package Management
- Desktop GUI
- Portability
Data Science Libraries
- Over 1,000 Anaconda-curated and community data science packages
- Develop data science projects using favorite Integrated Development Environments (IDEs), including Jupyter, JupyterLab, Spyder and RStudio.
- Analyze data with scalability and performance using Dask, numpy, pandas and Numba.
- Visualize data with Bokeh, Datashader, Holoviews or Matplotlib.
- Create machine learning and deep learning model with Scikit-learn, Tensorflow, h20 and theano.
Package Management
Conda, the Data Science Package & Environment Manager
- Can be used with any programming language or even multi-language projects
- Works across many platforms like Linux, macOS, Windows
- Handles environments natively
- Download conda packages from Anaconda, Anaconda Cloud, Anaconda Enterprise or Conda Forge
Desktop GUI
Anaconda Navigator, the Desktop Protal to Data Science.
- Install and launch applications and editors including Jupyter, RStudio, Spyder and Orange
- Manage local environments and data science projects from a graphical interface
- Connect to Anaconda Cloud or on-premise Anaconda repository to get packages
- Access the latest learning and community resources in Anaconda Navigator.
Protability
Anaconda Project, Protable Data Science Encapsulation
- Automate data science setup steps such as installing the right packages, downloading files, setting environment variables and running commands
- Easily reproduce works, share projects with others and run projects on different platforms
- Simplify data science project deployment