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The size of the installation package is different, the function is different, and the nature is different.
1. The size of the installation package is different, and Python itself lacks a series of packages such as numpy, matplotlib, scipy, scikit-learn, etc., and you need to install pip to import these packages in order to perform the corresponding operations. Anaconda (open source Python package manager) is a Python distribution that contains more than 180 scientific packages and their dependencies such as Conda, Python, etc. A large number of packages are included, so you don't need to install additional packages to use Anaconda.
2. The different functions, Python syntax and dynamic typing, and the nature of the interpreted language make it a programming language for scripting and rapid application development on most platforms. Anaconda can be used to install different versions of packages and their dependencies on the same machine, with the ability to switch between different environments.
3. Different in nature, Anaconda is a packaged collection, which is pre-installed with Conda, a certain version of Python, many packages, scientific computing tools, etc., so it is also called a distribution of Python.
Python is a high-level scripting language that combines interpreted, compiled, interactive, and object-oriented.
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The difference between python and anaconda is that anaconda is buried and contains python, so you don't need to install python if you install anaconda. If you want to run a python program, you need an interpreter.
and compilation of bent socks springware. The interpreter is python2 or python3 with pythonexe, which is the python language you write and compiles it into a machine that knows the good holes**.
The difference between Python and Anaconda
The compiler is the environment in which you write **, such as pycharm or vscode. Because python3 is not compatible with python2, that is to say, the ** written in python2 language cannot be run in the python3 environment. What about running python2 on a computer with python3 installed, and you can't reconfigure the environment variables every time you run.
bar. It's okay but doesn't feel troublesome, so Anaconda was born. It can choose a different environment for each developed program, and the environment required for the developed program is a third-party package that is packaged independently, so that when running the program on another computer, there is no need to separate ** package.
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Anaconda refers to an open-source Python distribution that contains more than 180 scientific packages such as Conda and Python and their dependencies.
Because of the large number of scientific packages included, Anaconda's file size is relatively large (about 531 MB), and if you only need certain packages, or if you need to save bandwidth or storage space, you can also use the smaller distro of Miniconda.
Basic Introduction:
Anaconda includes Conda, Python, and a whole bunch of installed toolkits such as numpy, pandas, etc.
conda is an open-source package and environment manager that can be used to install different versions of packages and their dependencies on the same machine, and to switch between different environments.
The above content reference: Encyclopedia--anaconda
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