Entornos virtuales con Anaconda y pip
驴Qu茅 son los entornos virtuales?
Instalaci贸n de Anaconda
Conda: creaci贸n de entornos virtuales desde terminal
Conda: eliminar entornos virtuales y paquetes
Conda: actualizaci贸n, clonaci贸n y exportaci贸n de entornos
Manejo de entornos virtuales desde Anaconda Navigator
Quiz: Entornos virtuales con Anaconda y pip
Uso de Jupyter Notebook y JupyterLab
Jupyter Notebooks desde Anaconda
Comandos m谩gicos de Jupyter Notebooks
Control de versiones en Notebooks
JupyterLab
Configuraci贸n de Notebooks en Visual Studio Code
Navegaci贸n de Notebooks en Visual Studio Code
Quiz: Uso de Jupyter Notebook y JupyterLab
Proyectos con Cookiecutter
conda-forge
Proyectos de Data Science y Machine Learning con Cookiecutter
Crear plantillas de proyecto personalizadas
Implementar hooks
Quiz: Proyectos con Cookiecutter
Estructura de entorno en proyectos
M煤ltiples entornos en un proyecto de Data Science
You don't have access to this class
Keep learning! Join and start boosting your career
In the world of software and, in particular, package management, the concept of a "channel" is fundamental. In the context of Conda, a channel is a repository of software packages. Conda uses these repositories to search, install and update libraries. Channels not only determine the availability of a package, but also how up-to-date it is. Understanding how they work and how to prioritize them can significantly improve your workflow effectively.
1. Default
This is the official Anaconda channel, operated by Anaconda Inc. Its content is curated by professionals to ensure stability and broad compatibility. It is the default option when installing packages, suitable for projects that require stability and proven support.
2. Conda Forge
Conda Forge is a vibrant community that offers a vast variety of packages for Conda. One of its most outstanding advantages is the speed with which packages are updated, which makes it an excellent choice for developers who are always working with the latest versions.
If you want to explore what Conda Forge has to offer, you can visit its official website (which you should easily find in the related documentation resources). From there, you can not only search for specific packages such as Pandas, but also look at the available versions and installation commands. When you search for a package on Conda Forge, you get detailed documentation and a complete installation guide.
For example, if you want to install the "Bokeh" package, you can navigate to the packages section in Conda Forge, search for "bokeh", and take a look at its documentation. There you will find clear instructions on how to proceed with the installation.
To install a package from Conda Forge, you first need to open your terminal. You can follow these steps:
conda install -c conda-forge bokeh
.Once installed, you can verify its installation by trying to import it into your Python environment. If you find no errors, the package is ready to use.
Sometimes, you may need Conda to prioritize certain channels over others to ensure that certain versions of packages are installed. This is easy to accomplish within Conda.
To see the channels you have configured, use the command:
conda config --show channels
This command will show the list of current channels and their priority order.
To give priority to certain channels, you can set the channel configuration with:
conda config --set channel_priority strict
Once this setting is done, if you are looking to install a package, such as Numpy or Matplotlib, Conda will look for it first in the Conda Forge channel before querying other channels. To install these packages you can use the command:
conda install numpy pandas pandas matplotlib -c conda-forge
With this configuration work, you ensure that you are always using the most up-to-date versions of Conda Forge, while maintaining the flexibility of other channels.
We hope this guide will motivate you to experiment with channels in Conda, optimizing your projects and gaining more control over your software installations. Continue to discover and expand your skills in the wonderful world of data science!
Contributions 6
Questions 0
Want to see more contributions, questions and answers from the community?