#Pip install jupyter notebook windows 10 install
Pretty much follow the steps here, except for the GIT installation (where we did pip install gitpython) Now we can install the rest of gym packages.
If you have problems with the SSL, you can isntall it from here.
#Pip install jupyter notebook windows 10 update
If you want you can update conda just in case (on the conda shell)įirst we will install the usual packages in our environment: Python, Pip, Kernel manipulations and GitĬonda install python=3.7.4 (or the version you want) Open a Conda Promt shell and type the following: Note: if you notices that Anaconda freezes, dont’ worry, just close it after a while. Note that to name the cloned environment gym, you will have to delete the previous gym env (the one that we couldn’t install the notebook on it).Īfter the Notebook environment is cloned into gym we are able to install new packages into this environment. If you clone this Notebook environment, you will now have an environment named gym but with a usable Jupyter Notebooks on it. To clone an environment, simply go to where you created a new environment and select clone on the bottom You can either keep working on this Notebook environment, or you can clone it. We will install Jupyter in a new environment that Anaconda is creating for us. Instead, Anaconda will ask us if we want to install Jupyter in another environment. There is a chance that Anaconda gives back an error and won’t let us install Jupyter for whatever reason. If everything goes well, we will have Jupyter installed and off we go. After we have selected to work in the environment created, we will be given the option to install Jupyter as shown below. The easiest way is to install Jupyter using Anaconda GUI. _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ Installing Jupyter Notebooks on the new environment Now you will be able to work on Jupyter notebooks under this new environment. IT also shows the location where the environment is created. You will see the environment created and the applications and packages installed. This is how you change working environments.
Make sure to select the python version you want.Īfter the environment is created, you can see on that same tab, the packages installed.Īfter the new environment is created, go back to Home in the left side panel and switch from Root to the new environment created. This is the easiest way to create an environment.Ĭlick on Environments on the left side panel and follow the instructions. These are some hacks that allowed me to do two things:Ĭreate a Python environment in Jupyter NotebooksĬreate a Python environment using Anaconda GUI
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