![]() ![]() You can do this by searching for Spyder in your computers search line and selecting the one that has (tensorflow) next to the name. Therefore, an alternative and quicker method to open Spyder is to launch it through the Spyder shortcut. Plus, we really only need Anaconda Navigator when dealing with packages or environments. However, this method will require you to open Anaconda Navigator first then launch Spyder from there which can take some time. Your browser does not support the video tag. You will then see a window appear where you can enter the details of your new environment.Ĭhange the name of the environment to tensorflow and click Create. To create a new environment, go to the Environments page and click on Create. Therefore, we will create a new environment with Python version 3.6 specifically for use with Keras and TensorFlow. However, they are not currently supported in the newest version of Python. Therefore we can keep incompatible package versions separate and only use a certain environment when we require it.įor example, we will be using packages called TensorFlow and Keras. If you change one environment, your other environments are not affected. It is very useful to have different environments in order to avoid possible package conflicts or packages causing problems to your system. If you look at the home page of Anaconda navigator, you will see that Applications on is set to base (root).Īs the name suggests, this is our root/base environment which is created by default. Once the download has finished, run the installer and follow the installation instructions.ĭo not change any of the default installation settings.Ī conda environment is a directory that contains a specific collection of conda packages that you have installed.ĭifferent Python environments can have different versions of Python and different versions of packages. Make sure you select an installer for Python 3.7 or higher, and select the Graphical Installer. To get started, download the Anaconda installer for your OS. This means that it does not matter if you are using Windows, Mac or Linux, it still works the same. The best part is that it is cross-platform. This means that you can easily change the Python version you are using without having to uninstall and reinstall different versions manually. Conda is a package and environment management system, which is used by Anaconda.Ĭonda is similar to Pip but better because it not only allows for installation of packages for any language, it also creates a virtual environment for Python to run. Anaconda is a Python distribution mainly used for data science. Thankfully, Anaconda and Conda solves this problem. ![]() This is a problem because some of the packages needed for machine learning are not written in Python so cannot be installed through pip. However, Pip can only install and manage packages written in Python. If some extra packages are needed, we can easily install most through the Pip package manager. You can Download Chrome Here or Download Firefox Here.įor basic Python programming, the default python install is sufficient. If you are using a different web browser, we recommend you download and open the site in Chrome or Firefox before continuing. We have designed this course to be compatible with Chrome and Firefox web browsers. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |