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- html - target=_blank vs. target=_new - Stack Overflow
The target attribute of a link forces the browser to open the destination page in a new browser window Using _blank as a target value will spawn a new window every time while using _new will only spawn one new window and every link clicked with a target value of _new will replace the page loaded in the previously spawned window
- Create Windows service from executable - Stack Overflow
sc exe create <new_service_name> binPath= "<path_to_the_service_executable>" You must have quotation marks around the actual exe path, and a space after the binPath= More information on the sc command can be found in Microsoft KB251192
- How do I push a new local branch to a remote Git repository and track . . .
I made an alias so that whenever I create a new branch, it will push and track the remote branch accordingly I put following chunk into the bash_profile file: # Create a new branch, push to origin and track that remote branch publishBranch() { git checkout -b $1 git push -u origin $1 } alias gcb=publishBranch
- How to break lines at a specific character in Notepad++?
If the text contains \r\n that need to be converted into new lines use the 'Extended' or 'Regular expression' modes and escape the backslash character in 'Find what': Find what: \\r\\n Replace with: \r\n
- Power BI, IF statement with multiple OR and AND statements
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- Refresh powerBI data with additional column - Stack Overflow
You can add the column in your new data source, when Power BI refreshes against the data set you will NOT see it in report designer You will have to go into the Query editor, select the dataset refresh the preview It will then pick up the new column It will now show in the report designer Hope that helps
- css - Line break in HTML with \n - Stack Overflow
Learn how to create line breaks in HTML using '\n' and CSS techniques on this Stack Overflow discussion
- Creating a new column based on if-elif-else condition
Lets say above one is your original dataframe and you want to add a new column 'old' If age greater than 50 then we consider as older=yes otherwise False step 1: Get the indexes of rows whose age greater than 50 row_indexes=df[df['age']>=50] index step 2: Using loc we can assign a new value to column df loc[row_indexes,'elderly']="yes"
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