epicger.blogg.se - Conda latest version

You do not have the time to migrate the project to Python 3

You have an older project that only works under Python 2.

On different versions of a dependency, that cannot co-exist. The specific version of software X alongside software Y, as they both depend

You have two dependencies with conflicting dependencies! You cannot install.

Here are some typical scenarios where the usage of environments is highly recommended (almost unavoidable): Another big motivatorįor using environments is that they make sharing your code with others much easier (as we will see shortly). Its specific environment and avoid a great deal of confusion by having separate (smaller) environmentsįor each project rather than one huge global environment with potential package version clashes. This allows you to work onĪ particular project without worrying about affecting other projects on yourĪs more external libraries are added to your project over time, you can add them to Or different versions of the same external library to coexist on your machineĪnd only one to be selected for each of our projects. Links to and enables multiple side-by-side installations of different packages This is in fact simply a directory with a particular structure which includes One of more packages and all of their dependencies.

So what exactly are conda environments, and why use them?Ī conda environment is an isolated working copy of specific versions of The solution for this problem is to create a self-containedĮnvironment per project, which contains a particular version of Python installation plus a number of Is important to be able to keep these configurations separate to avoid confusion between projects. This means that each Python application you work with may require a different setup and a set of dependencies so it because they require that a particularīug has been fixed in a newer version of the library), or a specific version of Python interpreter. Specific version of an external library (e.g. That you will have to use a package manager tool to install them on your system. Python applications often use external libraries that don’t come as part of the standard Python distribution. This means that our code requires two external libraries (also called third-party packages or dependencies).

From matplotlib import pyplot as plt import numpy as np