3- Create environments and install packages

3- Create environments and install packages

Click on "Start" in Microsoft. Then, select "Anaconda Prompt (miniconda 3)".


Your miniconda should open with the "base environment".

The list of available commands in conda is here.

To show the packages already installed in the environment, use:

conda list


To show the environments in miniconda, use:

conda env list

The output should be:


Creating a new environment

In this learning series, we will create and use a new environment called "da35" with Python version 3.5:

conda create --name da35 python=3.5


Not all Python libraries are available for all Python versions. We prefer Python 3.5 for data analysis, so we named it da35.

Go to your newly created environment "da35":

conda activate da35


Every time you start working inside this environment, you need to activate it because the libraries you installed inside it are not available in the base and other environments.

Install packages:

There are different commands to install libraries, such as "conda" and "pip".


Before installing packages, activate the environment where you want to install the packages.

For instance, to install NumPy (for scientific computing) and seaborn (for statistical data visualization) packages, use:

conda install numpy
pip install seaborn

If you find this content helpful, please consider SUBSCRIBING to my channel for future updates.

If you would like to get the full video tutorial and a certificate, you can enroll in the course by following this link: https://www.udemy.com/course/python-for-researchers/?referralCode=886CCF5C552567F1C4E7

Did you find this article valuable?

Support Azad Rasul by becoming a sponsor. Any amount is appreciated!