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Difference in pronunciation between: a, á, ã, â and à Could I get a few people to explain the difference in pronunciation between a, á, ã, â and à in Portuguese using English comparisons (if possible)? I can't seem to find a thread or other Web site that addresses them each clearly Thanks!
How to fix a No process is on the other end of the pipe error in SQL . . . The server was set to Windows Authentication only by default There isn't any notification, that the origin of the errors is that, so it's hard to figure it out The SQL Management studio does not warn you, even if you create a user with SQL Authentication only So the answer is: Switch from Windows to SQL Authentication: Right click on the server name and select properties; Select security
Visual Studio closes all browser windows - Stack Overflow A few days I ran into this weird behaviour: every time I stop debugging a web app VS closes all browser windows (all Chrome or all Edge), not just the window it started In addition, it doesn't mat
python - Truth value of a Series is ambiguous. Use a. empty, a. bool . . . Just to add some more explanation to this statement: The exception is thrown when you want to get the bool of a pandas Series: >>> import pandas as pd >>> x = pd Series([1]) >>> bool(x) ValueError: The truth value of a Series is ambiguous Use a empty, a bool(), a item(), a any() or a all() You hit a place where the operator implicitly converted the operands to bool (you used or but it also
How to fix SQL Server 2019 connection error due to certificate issue To improve the answer, let me sum up the comments: While setting TrustServerCertificate=True or Encrypt=false in the connection string is a quick fix, the recommended way of solving this issue is to provide a proper certificate for your SQL Server from a trusted CA To install a certificate for a single SQL Server instance (source): In SQL Server Configuration Manager, in the console pane
How can I iterate over rows in a Pandas DataFrame? I have a pandas dataframe, df: c1 c2 0 10 100 1 11 110 2 12 120 How do I iterate over the rows of this dataframe? For every row, I want to access its elements (values in cells) by the n