Now that our environment is activated, we can install everything we want. To do so, we need to activate it by running conda activate stata_r_env We want anything that we install from the channel to be part of this new environment. If you omit the =3.9.7 part, you will create an environment with the default Python version. Let us create an environment called stata_r_env by writing: conda create -n stata_r_env python=3.9.7 In this particular case, we will create an environment based on Python 3.9.7. Now we are ready to create a new environment where we will install all these packages. You can see that the terminal lists all the different versions of these packages that one can download from the different channels. You can explore the things one can download to an environment from the conda-forge channel by running, for example, conda search r-base or conda search stata_kernel. The goal here is to create a package bundle (i.e. an environment) where you will install some version of R Kernel, Stata Kernel, and Jupyter. To do this, you should run the following commands directly in your own terminal window in JupyterLab: conda config -add channels conda-forgeĬonda config -set channel_priority strict We want to make sure that our computer first finds the conda-forge channel. This is not dissimilar to downloading software from a server. The terminal will run the command conda that can find packages to install from channels. All commands given below will be typed into that terminal window in the box that follows the $. Within JupyterLab, click on the plus sign in the blue box on the top right corner and from the page that appears select “Terminal”. Once Anaconda has been installed, launch JupyterLab from Anaconda Navigator. The only way to set up an environment based on Stata requires us to manually connect our computer’s Stata program to Jupyter notebooks. The bare minimum for our environments is some version of Python. Some examples include Stata, R, and Python. These online notebooks can run code coming from different softwares (henceforth referred as kernels). With Conda we can create a particular directory folder (also known as environment) which will contain the packages that allow us to run Jupyter online notebooks. You will need to install Anaconda Navigator in order to be able to run JupyterLab.Ĭonda is an open-source package and environment management system. Connect to JupyterLab using an R session.Have Anaconda Navigator installed onto your personal computer.Please contact our Customer Success team or if you have any additional questions. Learners can't access Student Domains via Internet Explorer and will need to switch to a supported browser. You and your students will see an in-app message alerting you to the change. ![]() What happens if I don’t switch to a supported browser? ![]() By removing support, we will be able to release new features faster and with more reliability. ![]() Skilljar strives to create great products for our customers and supporting legacy browsers limits our ability to do so. Additionally, Internet Explorer does not receive security updates from Microsoft, making it an unsafe browser to use. Since Edge's release, Internet Explorer is no longer actively maintained by Microsoft and does not support many of the advanced web features necessary to build products that meet our customers' needs. ![]() In 2015, Microsoft replaced Internet Explorer with Microsoft Edge, a modern replacement for their legacy browser. Why is Skilljar retiring support of Internet Explorer? If you or your students access Student Domains via Internet Explorer, you will need to begin using one of our supported browsers. If you or your students are currently using Internet Explorer (IE) to log into Student Domains, please switch to a supported browser. Skilljar no longer supports Internet Explorer or Internet Explorer Mode in Microsoft Edge on Student Domains.
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