The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code.
Anaconda includes robust libraries supporting data science, enabling live Python code compilation and visualization through Jupyter Notebook, and offering tools for R and Python. It's cloud-based, with community support but could benefit from better documentation and job scheduling features. Occasional crashes and high memory usage affect performance, and managing heavy workloads is challenging. It supports developer improvements but lacks language flexibility within cells.
