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Using numpy to build an array of all combinations of two arrays
I'm trying to run over the parameters space of a 6 parameter function to study it's numerical behavior before trying to do anything complex with it so I'm searching for a efficient way to do this.
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Why am I getting a “401 Unauthorized” error in Maven?
Why am I getting a "401 Unauthorized" error in Maven?
21 Answers
21
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Why does 0.ToString(“#.##”) return an empty string instead of 0.00 or at least 0?
Why does 0.ToString("#.##") return an empty string? Shouldn't it be 0.00 or at least 0 ?
5 Answers
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Why is SSE scalar sqrt(x) slower than rsqrt(x) * x?
I've been profiling some of our core math on an Intel Core Duo, and while looking at various approaches to square root I've noticed something odd: using the SSE scalar operations, it is faster to take a reciprocal square root and multiply it to get the sqrt, than it is to use the native sqrt opcode!...
What is the difference between CMD and ENTRYPOINT in a Dockerfile?
In Dockerfiles there are two commands that look similar to me: CMD and ENTRYPOINT . But I guess that there is a (subtle?) difference between them - otherwise it would not make any sense to have two commands for the very same thing.
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Convert list of dictionaries to a pandas DataFrame
I have a list of dictionaries like this:
7 Answers
7
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Command-line Unix ASCII-based charting / plotting tool
Is there a good command-line UNIX charting / graphing / plotting tool out there? I'm looking for something that will plot xy points on an ASCII graph.
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Replace all elements of Python NumPy Array that are greater than some value
I have a 2D NumPy array and would like to replace all values in it greater than or equal to a threshold T with 255.0. To my knowledge, the most fundamental way would be:
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Is there a Boolean data type in Microsoft SQL Server like there is in MySQL? [duplicate]
Is there a Boolean data type in Microsoft SQL Server like there is in MySQL?
9 Answers
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Add one row to pandas DataFrame
I understand that pandas is designed to load fully populated DataFrame but I need to create an empty DataFrame then add rows, one by one .
What is the best way to do this ?
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