Anaconda Overview
Anaconda is a Python release for scientific Computing, supports Linux, MAC, Windows, and provides package management and environmental management capabilities to easily address multiple versions of Python coexistence, switching, and a variety of third-party package installation issues. Anaconda uses tools/command Conda for package and environment management, and already contains Python and related tools.
Here we first explain the differences between the concepts of Conda and Anaconda. Conda can be understood as a tool and an executable command whose core functions are package management and environmental management. Package management is similar to the use of the PIP, and environmental management allows users to easily install different versions of Python and can switch quickly. Anaconda is a packaged collection of Conda, a version of Python, numerous packages, scientific computing tools, and so on, which is also known as a release of Python. In fact, there are Miniconda, as the name suggests, it contains only the most basic content--python and Conda, as well as the relevant must rely on, for the space requirements of users, Miniconda is a choice.
Before you go to the next section, explain Conda's design philosophy--conda treats almost all of the tools and Third-party packages as package, including Python and Conda itself. As a result, Conda has broken the constraints of package management and environmental management, and can easily install various versions of Python, various package, and easily switch.
But we sometimes have to install the three-party package ourselves. such as TensorFlow for the deep learning package.
For this I have used three ways to install.
The first is to open Anaconda prompt, input pip install TensorFlow, but WHL file download to 2% error, try a few times is this
The second way is to download the Support window System from the official website of the three-party package click on the Open link, and then in the Anaconda prompt enter the PIP install path +WHL filename, but the following results appear:
The TensorFlow package did not appear after you entered the PIP list.
The third type is the input Conda install TensorFlow, which appears as follows
Finally, not only the three-party package including TensorFlow was installed, but also some old three-party packages were updated.