How do I name and retrieve a Git stash by name? - Stack Overflow
How do I save/apply a stash with a name? I don't want to have to look up its index number in git stash list. I tried git stash save "my_stash_name", but that only changes the stash descri...
How do I clone a specific Git branch? - Stack Overflow
Git clone will clone remote branch into local. Is there any way to clone a specific branch by myself without switching branches on the remote repository?
git - How do I modify a specific commit? - Stack Overflow
I have the following commit history: HEAD HEAD~ HEAD~2 HEAD~3 git commit --amend modifies the current HEAD commit. But how do I modify HEAD~3?
Download a single folder or directory from a GitHub repository
How can I download only a specific folder or directory from a remote Git repository hosted on GitHub? Say the example GitHub repository lives here: git@github.com:foobar/Test.git Its directory str...
How do I delete a Git branch locally and remotely?
Don't forget to do a git fetch --all --prune on other machines after deleting the remote branch on the server. ||| After deleting the local branch with git branch -d and deleting the remote branch with git push origin --delete other machines may still have "obsolete tracking branches" (to see them do git branch -a). To get rid of these do git fetch --all --prune.
git - How do I delete a commit from a branch? - Stack Overflow
I think this is not a duplicate of Git undo last commit as it asks how to delete any commit from a branch. I also think non of the answers actually address this question. They all rewind the last commits, not cherry-pick and delete a single commit that may occurred a while ago.
Using "If cell contains #N/A" as a formula condition.
I need help on my Excel sheet. How can I declare the following IF condition properly? if A1 = "n/a" then C1 = B1 else if A1 != "n/a" or has value(int) then C1 = A1*B1
Delete a column from a Pandas DataFrame - Stack Overflow
Actually addresses the WHY part of original question. I've implemented subclasses from pandas dataframe. Doing so will teach you vital part of this answer. Differentiating attributes and column names is a big problem. df.a leaves ambiguity whether a is an attribute or column name. However, as pandas is written, df ["a"] can only be a column.