When I try to uninstall pandas from my conda virtual env, I see that it tries to uninstall more packages as well:
$ conda uninstall pandas Using Anaconda Cloud api site https://api.anaconda.org Fetching package metadata: .... Solving package specifications: .........  Package plan for package removal in environment /Users/amelio/anaconda/envs/py35:  The following packages will be downloaded:      package                    |            build     ---------------------------|-----------------     dask-0.7.6                 |           py35_0         276 KB  The following packages will be REMOVED:      blaze:       0.10.1-py35_0     odo:         0.5.0-py35_1     pandas:      0.18.1-np111py35_0     seaborn:     0.7.0-py35_0     statsmodels: 0.6.1-np111py35_1  The following packages will be DOWNGRADED:      dask:        0.10.1-py35_0      --> 0.7.6-py35_0  Proceed ([y]/n)? I would like to uninstall pandas only and not have anything else downgraded. 
I understand that there these packages have dependencies to pandas and even to specific versions of pandas, but is this even possible at all with conda?
My understanding is that it isn't that easy to install a package from GitHub using conda. At least it isn't as easy as using a one-liner as one can do with pip. 
Since I want to use the version in master, my plan is to uninstall the conda version and use pip to install pandas from master on the official repo GitHub.
How can I do this?
From command prompt run conda uninstall pandas . Make sure you're in the correct version by navigating to Anaconda 3.6 or 2.7 folder and Shift + Right Click to open command prompt or powershell for whichever version of windows you have.
The conda environment will be deleted. Sometimes some packages stay behind, although they are not bound to any environment.
You can use conda remove --force.
The documentation says:
--force               Forces removal of a package without removing packages                       that depend on it. Using this option will usually                       leave your environment in a broken and inconsistent                       state If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
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