![]() Using the install command of conda, you can install extra conda packages from the registry of Anaconda. It is a lightweight version with only conda, a handful of useful modules like zlib, pip, and a few others including Python, the required packages. Even though they’re on the same team, one data scientist’s workbench may be going to be entirely different from another. A data scientist should customize each workbench to his or her liking. These tools are used, swapped, and updated all the time. ![]() However, as a project progresses the number of tools on the workbench increases. Each workbench begins its journey with nothing but some of the simple essentials. Miniconda is a data scientist’s workstation. Anaconda has 150 data science packages, including everything you can think of, while Miniconda only has a few of the essentials. Software distributions such as Miniconda and Anaconda exist in the software industry. As most people face similar issues, you’ll often find that a group of people wrote code to help them fix it, and then they deployed it in the market as a package. These packages are useful because in their absence you’d have to write a lot more code to accomplish your goals. ![]() A package should be thought of as a tool that you can utilize for your projects. A package is a piece of code written by someone else that can be executed and usually serves a particular purpose.
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