I then uninstalled/reinstalled jupyter with conda to avoid a 500 error for dependencies".
#Cygwin anaconda update
"A note to be made from my installation - there was an issue with Jupyter that required conda update conda and conda update conda-build.
![cygwin anaconda cygwin anaconda](https://cs.hofstra.edu/docs/images/software/Spyder_logo-200px.png)
When you copy and paste the URL, you'll see everything in your C:/Users/kauff/JupyterNotebooks folder. To test, simply type jup from anywhere in the ubuntu directory and it will take you notebooks folder and run jupyter.Restart the terminal for this new command to take effect. bash_aliases: alias jup='cd /home/kauff/notebooks & jupyter notebook -no-browser. I made an alias for the juypter command by putting this command in my.ln -s /mnt/c/Users/kauff/Documents/JupyterNotebooks/ notebooks Now when you look at Jupyter on :8888, you should see a notebooks folder that has everything your C:/Users/kauff folder has.made a symlink between my C:/Users/kauff/Documents/JupyterNotebooks folder (where I put my downloaded notebooks in Windows) to my Ubuntu notebook directory:.Leave a comment on anything you see that doesn't work and I can look into it! A few other things that I did out of laziness but aren't necessary If it worked, you should see your notebooks! In the terminal, it will give you a link to paste into your browser. it's necessary since you don't have a browser (probably) in your subsystem. The no browser flag will still run Jupyter on port 8888, but it won't pop it open automatically. To open jupyter, type $ jupyter notebook -no-browser.To do this, I added "export PATH=/home/kauff/anaconda3/bin:$PATH" to the bottom of my ~/.bashrc file. Manually add the Anaconda bin folder to your PATH.If it doesn't have anaconda in the path, do the next step. Mine is /home/kauff/anaconda3/bin/python. It should print a path that has anaconda in it. To test that it worked, run $ which python.
![cygwin anaconda cygwin anaconda](https://programmerah.com/wp-content/uploads/2020/11/cfee67c10e4493fcec1d07179b1a6729.png)
#Cygwin anaconda install
#Cygwin anaconda license
![cygwin anaconda cygwin anaconda](https://user-images.githubusercontent.com/1692726/52488318-8bf54180-2b8d-11e9-9a19-4d9da609a393.png)
I recommend the latest version (I'm using 18.04) because there are some bugs they worked out during 14/16 ( microsoft/WSL#785) Install WSL (Ubuntu for Windows - can be found in Windows Store).Steps to Install Anaconda on Windows Ubuntu Terminal
![cygwin anaconda cygwin anaconda](https://i.stack.imgur.com/AKGQN.png)
I encourage you all to help each other, but I probably won't be answering questions anymore. After doing this you can restart your shell and conda will be ready to go.Thanks everyone for commenting/contributing! I made this in college for a class and I no longer really use the technology.
#Cygwin anaconda download
The following snippet will create a directory to install miniconda into, download the latest python 3 based install script for Linux 64 bit, run the install script, delete the install script, then add a conda initialize to your bash or zsh shell. Use the conda install command to install 720+ additional conda packages from the Anaconda. It is a small, bootstrap version of Anaconda that includes only conda, Python, the packages they depend on, and a small number of other useful packages, including pip, zlib and a few others. Installing miniconda on Linux can be a bit tricky the first time you do it completely from the terminal. Miniconda is a free minimal installer for conda. I still like its environment manager, which installs to a global directory rather than a local directory for your project. These days windows are much better than it was back then at compiling c-extensions. It made it much easier to install the data science stack on windows a few years ago. It comes with its own environment manager and has eased the install process for many that do not have a way to compile c-extensions. It's a slimmed-down version of their very popular anaconda distribution. Miniconda is a python distribution from continuum.