![]() ![]() If you see something similar to the below image then you have successfully installed Anaconda and the Conda CLI. Using the Conda CLI to create an environmentĪfter installing Anaconda open a terminal window, type conda and press enter. Follow the on-screen instructions when installing the software, then everything should be good. I recommend installing the community edition of P圜harm, as it is free.Īs for Anaconda installation, the same applies to Pycharm installation. There is nothing special about the installation, therefore, if you follow the on-screen installation instruction everything should be good. ![]() Installing Anacondaįollow the installation instructions. If you also want to use Jupyter Notebooks and even Jupyter Lab head over to my post: JupyterLab and Conda environment installation and setup. I have provided a link for each library’s documentation if you are interested in reading more. The following Python libraries are of interest. The following software will be installed. Having a basic knowledge of bash commands or command line (depends on the operating system, Mac or Windows).Requirements - You should be familiar with the following topics: I myself use both so no preference there. This post is focused on Mac users, however, don’t panic, I will make short comments on how to achieve the same results on Windows. In this post, I will explain and show how I use Python with Anaconda and P圜harm to set up a python data science environment ready for local experimentation with the most popular Python libraries for Machine Learning / Data Science. Use Python, Anaconda, and P圜harm to set up a data science environment ready for local experimentation with the most popular Python libraries.
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