If conda is run after pip, packages installed via pip can be overwritten. Most of these problems originate from the fact that conda has limited ability to control packages that it did not install itself. Unfortunately, problems can occur if conda and pip are used together when creating an environment. It is supplied by default with the installation of Anaconda. In contrast, conda is a language-independent and cross-platform package manager that manages Python packages, among other things (C libraries or executables like C compilers). It gets its packages from the official software repository PyPI (Python Package Index) and is delivered by default with the installation of Python.
Pip is the official package manager of the Python Software Foundation. Pip and Conda are both package managers that assist in the installation and management (update or removal) of packages. Python supports third-party frameworks and libraries that already contain various features and elements that can be used by programmers. How this comes about I explain in the following chapter. See the entries ‘pypi’ or ‘anaconda’ in the column ‘Channel’. You can also use the list command to see which library was installed with which package manager. And already we have a new environment installed: How to add them you will learn in a moment. Of course, some cool libraries will be added over time. Please do not forget to uncheck ‘disable configuration for nbextensions without explicit compatibility’ in Jupyter Notebook so you can use the nbextensions. Jupyter contrib nbextension install -user Please execute the following command to make the nbextensions work:
In our demo environment I installed the following basic libraries: Navigate again with cd to the respective place where the. If you want to have the created sample environment feel free to download it from my GitHub Repository. We can also import predefined environments using the Anaconda Powershell prompt.
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