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Learn to clean up messy data, uncover patterns and insights, make predictions using machine learning, and clearly communicate your findings.
The video below is a demonstration of the concepts that you are going to learn in this lesson. It will show you the significance of creating virtual environments, introduce you to the Anaconda distribution, and demonstrate the use of conda to create ...
What is Anaconda Distribution? Anaconda is a program to manage (install, upgrade, or uninstall) packages and environments to use with Python. It's simple to install packages with Anaconda and create virtual environments to work on multiple projects c...
Installing Anaconda Anaconda is available for Windows, Mac OS X, and Linux. Follow the links below to get started: Download the installer from https://www.anaconda.com/download/. Choose the Python 3.7 or higher version, and the appropriate 64/32-bit...
Managing Packages Install Packages Once you have Anaconda installed, managing packages is fairly straightforward. To install a package, type the following command in your terminal. conda install PACKAGE_NAME For example, to install numpy, type conda ...
Managing Environments As you saw on the previous page, conda can be used to create environments to isolate your projects. To create an environment, use the following command in your Terminal/Anaconda Prompt. conda create -n env_name [python=X.X] [LIS...
Saving and loading environments A really useful feature is sharing environments so others can install all the packages used in your code, with the correct versions. Let's see all the package-names, including the Python version present in the current ...